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How Does Salesforce Help Companies Streamline Business Operations?

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Salesforce Help Streamline Business Operations

Salesforce is one the world’s largest CRM platforms, serving nearly 150,000 companies worldwide. And its horizon is expanding by the day. No wonder enterprises from various business sectors constantly look for qualified professionals who can handle and apply Salesforce in their context and help them achieve their objectives. However, what makes Salesforce as popular is its ability to streamline and enhance business operations. But what drives that? As an experienced professional, a fresh tech graduate, or a marketer looking for a Salesforce course in Pune, you must learn how Salesforce helps businesses achieve operational excellence. Here’s more to it. What is Salesforce? Salesforce is a cloud-based CRM that helps businesses connect with their customers more meaningfully, find more prospects, close more deals, and enhance customer service. It fundamentally lets organizations manage customer data, handle marketing campaigns better, and streamline sales operations. The tool also empowers businesses with features and tools that improve customer relationships, including customer data management, segmentation, and support. Simply stated, Salesforce helps you manage your customers better, nurture them more productively, and drive business growth by streamlining business operations. While you’ve now received a basic idea of what Salesforce is, let’s look at some of its benefits, particularly concerning streamlining business operations.  Streamlining Business Operations – 4 Benefits of Salesforce! From automating tasks to analytics and phenomenal integration capabilities, here are five factors that make Salesforce a must-have for companies looking to streamline their business operations. Workflow Automation Automation is a proven way of improving business efficiency and helping businesses produce more in less. Salesforce serves the purpose of enabling businesses to automate their workflows. For example, you can automate follow-up emails or manage customer support tickets, reducing manual effort or supervision and minimizing human error. These efforts collectively contribute to enhanced productivity, ensuring critical tasks are prioritized and completed promptly. Data-Driven Decisions Another noteworthy feature of Salesforce, particularly from the operational and strategic perspective, is advanced analytics and reporting tools. The CRM provides customized dashboards that help companies track key performance indicators (KPIs), identify trends, recognize patterns concerning customer buying behavior, and make data-driven informed decisions. These abilities provide companies with detailed insights into the current situation, make predictions, and devise more intelligent strategies to drive better business outcomes. Better Sales Forecasting Salesforce can also automate data collection and analysis, enabling businesses to make accurate sales forecasts. With that, companies can predict sales trends, identify potential challenges, and prepare for them much earlier by aligning their sales strategies accordingly. The near accuracy level of predictability also helps companies plan resources, manage inventories, and ensure efficient budget allocation. It gives the decision-makers a clear vision to draw a business and productivity roadmap and synchronize their business operations with it.  Integration Capabilities Businesses often use numerous third-party tools and applications to cover different operational areas. Adding a new CRM can prove beneficial but not if the platform works disparately. The platform should integrate seamlessly with these applications to complement them and help businesses derive more value from the ecosystem. Accordingly, Salesforce integrates with various third-party applications like email marketing platforms, ERP systems, HR and accounting software, etc. The ability to integrate seamlessly helps create a unified system where every tool or platform contributes in unison and serves the purpose of streamlining operations.  Mastering Salesforce with the Best Salesforce Training Institute in Pune These days, employers look for professionals who can blend technology and skills to deliver more strategic value to their business. Thus, learning Salesforce, given its benefits and widespread applications proves useful. With everything you learn during the course, you can make smarter and more targeted efforts to help your employer reach unprecedented heights. Ethan’s Tech proves the right in this regard! One of Pune’s leading technology institutes, we offer a comprehensive Salesforce course in Pune that covers everything Salesforce-related skills companies expect. Besides, our course undergoes constant upgrades based on how Salesforce and the business environment evolve. Our Salesforce trainers with 10+ years of experience help you explore Salesforce via abundant practical exposure. Besides, they share vital experiences that help you develop the intelligence to apply Salesforce in the real world. Exploring our Salesforce course can help you get a clearer idea of what you will learn. You can also call us at +91 95133 92223 to talk to our experts and discover more.

Future of Cloud Computing in India

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Future of Cloud Computing

Cloud computing isn’t merely a trend but a strategy or an approach here to stay. Initially considered disruptive, it has become a necessity worldwide. And we say it for a reason. A leading organization says cloud computing will shift from a technology disruptor to an essential component helping businesses stay competitive. Speaking of global statistics, the worldwide end-user public cloud service spending is projected to reach nearly USD 680 billion this year and exceed the trillion-dollar mark in the next three years! While these statistics seem impressive, what drives the future of cloud computing, particularly in India? Is it its benefits? Yes, of course. But the cloud offers many. So, what is likely to propel cloud computing’s future in the country? And what makes it a remunerative and promising career choice. Let’s seek answers to these questions. The Soul of Cloud – Elasticity! While most people would bank upon the cloud’s security, ease of data access, and cost savings, we look at its other side. It is the cloud’s elasticity. Businesses have multiple concerns to resolve. Conventional approaches can help address them; but only to an extent. This is where the cloud’s elasticity comes into play.  The elasticity of the cloud essentially refers to how elastic your cloud setup is when it comes to covering multiple problems, and for many problems, it can be a solution. To prove this elasticity, the cloud is divided into three parts – IaaS (Infrastructure as a Service), SaaS (Software as a Service), and PaaS (Platform as a Service). These categories allow infinite scalability. This has something to do with AI. As we’ve said in our earlier blogs, AI-Driven Data Analytics and Predictive Modeling, the value of AI will not be calculated by how many jobs it will create or the revenue it might help companies generate. Instead, it is about the energy AI consumes.  AI is operated and managed through massive server farms that consume substantial energy and electricity. For example, OpenAI server farms consume as much electricity as the Vatican City!  Take ChatGPT for example. Convenient to use and so useful! But here are some facts less discussed. A Google search query consumes an estimated of 0.0003 kWh (1.08 kJ) of energy. However, the estimated energy consumption of a ChatGPT-4 query is 0.001-0.01 kWh (3.6-36 kJ), which also depends on the model size and number of tokens it processes. Thus, a single GPT query consumes nearly 15 times more energy than a Google search query. A 60W incandescent light bulb uses 0.06kWh in an hour! So, it isn’t about how ChatGPT is simplifying lives but about the energy it consumes and how sustainability continuing using it would be. This is where we highlight the future of cloud computing. Managing and scaling the data received and processes from these servers and the country’s 1.4 billion people requires infinite scalability and flexibility. That refers to the viability of the future of cloud computing in India. With our ever-increasing population, growing data volumes, and the requirements from the tech industry, we need a seamlessly scalable infrastructure.  Cloud computing can make it possible with its highly flexible and scalable nature. In simpler words, when leveraged appropriately, it can further strengthen India’s position across the global technology spectrum. India-Specific Industry and Career Statistics of Cloud Computing Although in its nascency, India is quickly scaling its cloud adoption and economy. How? Per reports, with a CAGR faring between 40 and 45 percent, the Indian cloud market has grown much quicker than the global market. Some factors responsible for it include enterprise digitization, investments, a growing digital population, and conducive government policies. Reports also suggest the Indian cloud market reach approximately USD 11 billion by next year! As reports project cloud computing to become a significant GDP contributor by 2026, the sector is expected to create 10-15 million new job opportunities. It is also projected to witness significant investments worth thousands of crores from global tech giants like AWS by this decade-end, supporting nearly 50,000 full-time jobs. So, pursuing a cloud computing course will prove the right move, particularly in the years to come! Aspiring for a Cloud Computing Career & Searching for a Cloud Computing Course Near Me? The need for cloud computing and its significance in the future context make it a sustainable and promising career choice. However, you need specialized training that makes you a competent cloud computing professional capable of addressing the world’s needs. However, how do you qualify for the existing and upcoming opportunities in cloud computing? The answer is Ethan’s cloud computing classes in Pune. Recognized by industry experts and backed by a comprehensive and competent course curriculum, our cloud computing course can help you kick-start your career confidently. Explore our cloud computing courses, or connect with us to know more how we can help build your career.

Data Science fees in Pune: What’s Included in the Course Cost?

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Data Science fees in Pune

Data science has emerged as one of the most sought-after fields due to its diverse applications and lucrative career opportunities. In the present scenario, there are several courses available for data scientists in Pune varying in their degree of expertise, learning modes and course fees. Pune – the city, famous for education and IT centers now boasts a large number of institutions that offer data science courses. There are a few key players in this segment and one of the most popular of them is Ethans Tech which offers a comprehensive curriculum as well as industry-standard certification. In this article, we will see the factors that affect data science course fees in Pune which is why students love Ethans Tech.  Factors Influencing Data Science Course Fees in Pune  In case you are searching for data science courses in Pune, you are most likely going to realize that fees differ greatly from one institution to another. This disparity is influenced by several factors, including: 1. Course Duration and Depth  The length of the programme is also an important factor that influences data science course fees. Courses that take a few weeks or months to complete are usually cheaper than those that could take 6-12 months to complete. The longer ones provide more training, exposure and more advancement methods; hence they are more useful but costly.   2. Certification and Recognition  It is also important to note that certain courses are associated with certain universities or certifications that are recognized internationally which may attract an extra cost. Industry certifications from organizations like IIT or other global players like AWS or Microsoft bring more legitimacy to the course and the candidates’ employability. Ethans Tech is different from the competitors in terms of delivery of courses with the partnership with the E& ICT, IIT Guwahati and hence a clear value proposition to students and working professionals pursuing the programs to get globally accredited certifications.  3. Mode of Delivery Another major determinant of the fees is if the course is a traditional online course, an offline course or a blended course. E-learning tends to be cheaper than face-to-face learning seeing as there are no structures to put up for the classes to be held. Nonetheless, most learners have not relinquished on attending class physical lessons particularly those that include practical learning and exchanges with their peers. Ethans Tech is a hybrid institute of learning that means that the students can choose whether to be taught online or in normal classroom settings. 4. Faculty and Infrastructure The trainers and the facilities offered by an institution determines the course fees offered to the students. As far as the universities are concerned, the ones which have experienced faculty hailing from the industry, sophisticated laboratories and best-in-class infrastructures usually include hefty prices with their programs. The course delivery at Ethans Tech comes from trainers who are well-educated, and more to the point, they bring into the classroom the real-world experience of the industry, making it possible to justify the rather high cost of the training programs offered at the facility. 5. Employment Placement and Career Development Most organizations have a post-course job placement service that helps in resume creation, interviews, and recruitment. Tuition fees are also known to be higher for courses that promise job placements or courses that come with aggressive career services that students can access in the course of their studies. Ethans Tech is one of the best institutes focusing on the final placement of students to get placed in the top info technology companies. Data Science Course Fees: A General Overview The fees for data science courses in Pune can vary depending on the factors mentioned above. Here’s a general breakdown: Short-Term Courses: ₹25,000 to ₹50,000 Certification Courses: ₹50,000 to ₹1,00,000 Comprehensive Programs (6-12 months): ₹1,00,000 to ₹3,00,000 Courses with live projects, internships, and industry-driven curricula typically fall on the higher end of the spectrum. Courses offering affiliations or certifications from recognized institutions like E&ICT, IIT Guwahati, in partnership with Ethans Tech, also tend to charge more due to the added value. Conclusions Selecting the correct data science course is an important determinant towards having a successful career within this promising line. However, one must not overlook factors such as the quality of education, certification, faculty and placement opportunities while selecting a course. Ethans Tech is among the best stores students could find in Pune given that the majority of its electronics products are cheap but of high value.Thus, if you are thinking about doing a data science course in Pune, then Ethans Tech is a coaching institute that will provide you with a well-structured systematic data science course which is recognized and well-approved by the industries and has a promising career opportunity in the IT industries as well as in all other fields of sectors required to be spent while pursuing a good and demanding future.

Top Important Cloud Computing Terms You Must Know

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Important Cloud Computing

Are you a fresher or an experienced professional looking for cloud computing classes in Pune to pursue a career in cloud computing? With millions of new job opportunities on the rise, many people are looking forward to it. So, you aren’t alone and you’ve made the right career choice. However, before you begin the course, you must know some basic cloud computing terms and terminologies. It is because cloud computing has had its journey of evolution, during which many new concepts emerged and helped transform it. Knowing these can help you begin your cloud computing course and career more confidently. So, let’s look at ten important ones in this blog. Cloud Computing Cloud computing refers to delivering computing services, including databases, servers, storage, networking, intelligence, etc., over the web. Cloud benefits companies in various ways. Some prominent benefits include increased agility, elasticity, and quick deployment. Furthermore, it allows user companies to pay for what they use (pay-as-you-go pricing), thus also saving costs considerably.  Unlike the yesteryears, when companies had to buy every service and support physically, the cloud enabled them to do it through the web, thus saving the effort involved in maintaining physical services, hardware, etc. Private, Public, Hybrid and Multi Cloud Cloud is classified into four categories, including private, public, hybrid, and multi-cloud. Here’s a basic understanding of each. Private: Highly secure cloud services customized for a single company Public: Company-owned and operated services made available to the public Hybrid: Custom-cloud services (public and private) working together Multi Cloud: Outsourcing cloud services to multiple providers for the same cloud deployment Application Programming Interface (API) These determine how two platforms or applications can communicate. They serve as a bridge linking two parts of the software and enable them to operate independently. APIs let users access information or functionality from a given service and integrate it into the user’s application. An example of this is an article you see over the web that also allows you to share it on a social media platform, say Facebook. Software-as-a-Service (SaaS) These are software applications owned and operated off-premises, provided by a cloud service provider. An example is Google Sheets, an application users can access and use remotely. Accordingly, SaaS allows remote accessibility, instant access, and nearly no data loss. Infrastructure-as-Service (IaaS) This is a service package that includes resources like data centers, database management, storage servers, and various other network elements. IaaS providers often provide it as a package. Hence, users aren’t required to install or buy separate hardware or purchase upgrades to maintain competence and optimal functioning. Platform-as-a-Service (PaaS) Custom-made applications require efficient platforms to operate on. PaaS offers the right environment to deploy cloud-based applications. It eliminates the need to purchase separate software, hardware and hosting as PaaS does everything.  Load Balancing Digital networks handle massive traffic loads. Load balancing helps spread the traffic to multiple servers, reducing the process time and distributing responsibility evenly. It helps improve the responsiveness and performance of various cloud applications. A few common load balancing techniques include Least Connection, Round-Robin, and Weighted Response Time. Google Cloud Google Cloud Platform (GCP) is a set of services offered by Google. These services provide server space on internal networks, virtual machines, disk storage, VPN connections, and more. In addition, GCP offers IaaS, PaaS, and serverless computing environments similar to AWS and Azure, two other leading cloud service providers.  Amazon Web Services (AWS) AWS is Amazon’s cloud computing platform that offers 200+ services. These include storage, database, analytics, ML, security, networking, etc. Leveraged by thousands of companies, including enterprises, startups, and government agencies, AWS is the world’s most comprehensive and widely used cloud. Microsoft Azure Azure is Microsoft’s cloud platform, offering over 600 services, using large-scale use of its data centers. It is designed to serve businesses of various sizes. The platform provides support for multiple programming languages, including NodeJS, Java, and C#. Besides, it offers 99.95 availability (the time it stays available for) and round-the-clock technical support. Wrapping it Up! So, that was about ten popular terms and terminologies of cloud computing. Of course, there are many more. But you can learn them while pursuing a comprehensive cloud computing course like that of Ethans. We are a seasoned technology training center, offering recognized and competent courses across various technologies, including cloud computing. Up until now, we’ve trained hundreds of students and shaped their careers, helping them thrive amidst the competitive technology horizon confidently. Call us at +91 95133 92223 if you have been searching for the term cloud computing course near me.

Must-Learn Programming Languages for IT Professionals in 2025

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Programming Languages for IT Professionals in 2025

It seemed that the hour of technology was growing, and new tools, frameworks, and programming languages were being released for the functioning of the industry. As we approach 2025, IT professionals need to stay ahead of the curve by mastering key programming languages that will be instrumental in shaping the future of technology. Whether you are a coder, statistician, data scientist, or IT administrator, which languages to choose is crucial to your position. If you are planning to pursue a career in the IT industry in the year 2025 then here’s what programming languages you should know: Python Python programming language is still prevailing in the programming world and is expected to be one of the most demanded programming languages in 2025. This particular language is very simple and used almost in every field such as web development, data science, AI, ML, automation, etc. Why Learn Python? Extensive libraries and frameworks for AI and ML. Easy syntax, making it beginner-friendly and highly adaptable for seasoned professionals. Excellent support for automation, data manipulation, and big data applications. JavaScript Being one of the key fundamentals of web development JS is still a widely used programming language. With the introduction of scripts such as React, Angular, and Node. js, JavaScript plays a huge role in front-end development along with back-end development as well as the creation of full-stack applications. It is forecasted that in 2025 JavaScript will remain in the same status because more and more users require interactive and dynamic web applications. Why Learn JavaScript? Used for both front-end and back-end development. Extensive ecosystem with a vast number of libraries and tools. Plays a crucial role in mobile app development via frameworks like React Native. SQL Although not a standard programming language, SQL (Structured Query Language) is basic for managing and querying all databases. In the analytics era of 2025, Every IT professional who deals with Database, Big data, and Data Analytics must need SQL. Why Learn SQL? Essential for interacting with relational databases. Vital for data analytics, business intelligence, and big data applications. SQL knowledge is foundational for integrating back-end services with front-end applications. Rust Rust is gradually trending and is believed to be one of the prominent languages in the year 2025 because of the concentration on factors like Speed and Security. Famous for not having the problem of memory safety while not coming with garbage collection, Rust is slowly starting to take the throne as the language of system programming, embedded systems, and even applications that require high performance. Why Learn Rust? High performance and safety make it ideal for system programming. Increasing adoption in industries requiring low-level control and high-speed applications. Strong support for concurrency, making it efficient for modern multi-core processors. Go (Golang) Go, created by the Google company, has increased significantly after its release and IT experts believe that it will continue to dominate cloud computing and backend systems in 2025. It is an optimal solution for developing rapidly-scaled applications because it provides concurrent and simple ways of computation and is conducive to DevOps and microservices. Why Learn Go? Excellent for cloud computing and distributed systems. Simple and efficient syntax, making it easy to write and maintain. Superior performance in multi-threaded and concurrent environments. Kotlin Kotlin is already used as the primary language in developing Android applications and is increasingly being adopted more for other uses as well such as in server-side applications and web development. Thus, with increased mobile device usage, Kotlin’s demand will also rise, which is why developers aiming at mobile applications should consider mastering it. Why Learn Kotlin? Official language for Android app development. Fully interoperable with Java, making it versatile for various applications. Modern syntax and powerful features improve developer productivity. Swift Swift is the language of choice for iOS and macOS app development. With Apple’s ecosystem continuing to grow, Swift remains a critical language for developers targeting these platforms. Swift’s modern features and safety mechanisms ensure high-performance applications, making it a must-learn for 2025. Why Learn Swift? Official language for iOS app development, widely supported by Apple. Safe and fast, making it a go-to for high-performance applications. Growing demand for iOS and macOS applications in the mobile and wearable tech space. TypeScript TypeScript is JavaScript, but with the bonus of being a strongly typed language, and is quickly gaining popularity at the time of writing this article. It expands the JavaScript environment by adding static types to allow developers to have an easy time handling large complex applications. By the year 2025, TypeScript will be the language to be used by major web applications because of its tooling and support. Why Learn TypeScript? Builds on JavaScript with additional features, making it ideal for large-scale applications. Excellent tooling support for modern IDEs. Growing adoption in both web development and backend services. Conclusion Over the years technological advancement has increased the importance of proper utilization of the right programming languages to increase informativeness and competitiveness in the current market for IT specialists. Web and mobile applications, data science, cloud, and blockchain sectors will no longer be able to exist without such languages as Python, JavaScript, Rust, Go, Kotlin, and others in 2025. It’s thus important to select an appropriate language that will define one’s career and prospects. To get the best skills, Ethans Tech in Pune is the best place to be if one wants to gain these skills. Ethans’ trainers, choice of programs that align with the technological industry, and practical project experience guarantee you fit the technological world in 2025 and beyond.

Data Science classes in Pune for Freshers

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Data science Classes in Pune for Freshers

Being one of the growing IT hubs in the world Pune has now proved to be one of the best places to start your data science careers. Being one of the leading cities in the country in offering data science classes in various intuitions, the city provides an appropriate market through which freshers can be trained and exposed to fit the market needs in the field. In this article, the following will be discussed: Freshers’ jobs and Job opportunities in Pune:  The Importance of Data Science in Today’s World Data science is an umbrella term encompassing concepts related to statistics, machine learning, and big data visualization to extract information from data. The skills one gets upon completing data science programs are universal and can be applied in fields such as financial services, the healthcare sector, technology, and retail. To the freshers, starting a career in data science is quite bright with many prospects for upgrades. Data science is transforming industries across the globe, making it one of the most impactful fields today. Data science classes are crucial for understanding and harnessing this power. Here’s why: Data-Driven Decisions: Businesses use data science to extract valuable insights, guiding strategic decisions and optimizing operations. Data science classes equip you with the skills to analyze data and drive these decisions effectively. Innovation: Data science fuels technological advancements and innovative solutions. By learning through data science classes, you gain the expertise to contribute to cutting-edge developments. Personalization: Companies personalize products and services using data insights, enhancing customer experiences. Data science classes teach you how to analyze customer data and apply it to create tailored solutions. Healthcare Advancements: Data science is pivotal in improving diagnostics and treatment plans. Enrolling in data science classes can prepare you to work on projects that advance medical research and patient care. Financial Strategies: The financial sector uses data science for risk management and investment strategies. Data science classes provide the tools to understand and apply financial models effectively. Policy Making: Governments utilize data science to inform policy decisions and manage resources. Learning data science can enable you to contribute to impactful public policies. What to Look for in Data Science Classes for Freshers Comprehensive Curriculum: A well-rounded curriculum is crucial for freshers. Look for courses that cover essential topics such as programming languages (Python, R), statistics, data wrangling, machine learning algorithms, and data visualization techniques. Additionally, practical experience through projects and real-world case studies is vital. Experienced Trainers: The quality of instruction can make a significant difference. Courses taught by industry experts or experienced professionals ensure that students receive up-to-date knowledge and insights. Hands-on Experience: Practical experience is key to understanding data science concepts. Courses that offer hands-on projects, internships, or real-world datasets provide valuable learning experiences. Certification and Placement Support: A recognized certification can enhance your credentials. Look for programs that offer certification and have strong placement support to help you secure a job post-completion. There are several reputed institutions in Pune offering data science courses specifically for freshers. Here’s a snapshot of some notable ones:  Top Institutions Offering Data Science Classes in Pune Ethan’s Tech: Ethan’s Tech has established the best reputation for data science classes. Their program is aimed to give the freshers comprehensive knowledge about data science itself, theoretical and practical parts included. All the material is covered in the curriculum, from Python programming and data analysis to machine learning. For the training solutions offered by the organization, the following factors make Ethan’s Tech stand out; They have highly experienced trainers, a detailed syllabus, and a strong infrastructure. They also provide certification from E&ICT, IIT Guwahati which brings a lot of value to the course. This makes it easier to produce students who are well-equipped to face real-life situations when they graduate from the institute. IIM Skills: Being one of the leading institutes that focuses on industry-style education, IIM Skills has a data science course that covers a wide range of issues. Their program consists of hands-on projects and the course caters for the freshers who wish to venture into the field. Simplilearn: Gone are the days when data science courses were limited to only a few weeks or months and consisted of online sessions only; Simplilearn offers a data science certification course which is quite extensive. It also has a nice course structure to ensure that the freshers learn about the data science concepts and uses as well. Why Choose Ethan’s Tech to enroll Data Science Classes? Among the many options available, Ethan’s Tech stands out for several reasons:  Industry-Relevant Curriculum: Ethan Tech offers its data science classes based on today’s market. The curriculum is kept current enabling the institute to incorporate the latest tools, techniques, and technologies. Expert Trainers: Most of the trainers at Ethan’s Tech are people with adequate experience in training, and they have worked in the industry for many years. It is for this reason that their knowledge helps the students to acquire factual knowledge and information on the specific field. E&ICT, IIT Guwahati Certification: Presently, Ethan’s Tech is therefore advantageous with the E&ICT, IIT Guwahati certification option. This prestigious certification optimizes the worth of the students’ resumes besides improving the employment opportunities of the graduates. Hands-on Training: It is operationalized practically through projects and real datasets through the institute. This practical orientation is beneficial in that it prepares the students to be able to solve real-life data science problems. Strong Placement Support: placement services offered with the same intensity at Ethan’s Tech enable students to get in touch with employers and get a job in a data science organization. Conclusion For freshers eager to dive into the world of data science, Pune offers a wealth of opportunities. With its array of institutions and specialized programs, students can find a course that aligns with their career goals. Ethan’s Tech, in particular, stands out as a leading choice due to its comprehensive curriculum, expert trainers, and the added advantage of E&ICT, IIT Guwahati certification. Whether you are just starting or looking … Read more

AI-Driven Data Analytics and Predictive Modeling

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Data Analytics and Predictive Modeling

Are you an engineer or an experienced technology professional looking to pursue a career in AI-driven analytics and predictive modeling? While driving transformations, these are breakthrough technologies that would generate millions of new jobs. So, let’s explore them and a few other aspects of them. AI’s Growth – Energy Consumption – Relation with AI-Driven Data Analytics and Predictive Modeling AI’s exponential growth excites us all. However, while appreciating that, we often tend to ignore the other side – AI’s energy consumption! Now, why talk about AI’s energy use when the topic is AI-driven data analytics and predictive modeling? There’s a relationship between both and we will come to it soon. So, AI data is stored on massive server farms that consume unimaginable energy. Let’s consider the simple example of ChatGPT. When you enter a prompt in it, the chatbot processes it using its servers hosted in data centers. These centers use up to 1.5 percent of the entire global electricity! Isn’t that surprising? Of course, as users of AI, we would never think about it. Thus, AI’s value in the future will be determined not by money or the jobs it will replace but by the energy it will consume. However, how do you derive such conclusions? It is through AI-driven data analytics and predictive modeling. AI-driven data analytics and predictive modeling are at a very high level of competition in the market. It might surprise you but these domains don’t yet exist in India as no player has invested in building servers and data computational farms AI requires. OpenAI works on Microsoft servers, which aren’t present in India now. However, it will as efforts are underway to bring it into the country. A Bangalore startup has invested a significant amount in this direction. So, although AI-driven analytics and predictive modeling haven’t taken off in India yet, they will do so in the near future and create a demand for professionals well-versed in it. That’s how learning them steps in and is important. Let’s begin with what AI-driven data analytics and predictive modeling are. About AI-Driven Data Analytics and Predictive Modeling AI Data Analytics AI data analytics uses AI to analyze large data sets, simplify trends and provide data analysts with vital insights. It helps support, automate, and simplify every stage of the journey of data analytics. AI tools can help collect data and prepare it for analysis. Further, you can train ML models and apply them to the prepared data to uncover patterns and insights. Eventually, AI enables analysts to comprehend and interpret trends and insights to drive better and more informed decision-making. AI-driven data analytics can be used anywhere. For example, analysts can use it in the retail space, while dealing with massive data sets, comprising structured and unstructured customer data. It can help large retail players analyze data concerning various areas, including sales, loyalty program sign ups, average customer spending, highest-selling products, etc. These insights can steer informed decisions about inventory, marketing tactics, and more. Read Full Blog – Phases of Data Analytics Lifecycle Predictive Modeling Now, what is predictive modeling? OK. So, the need for predictive modeling stems from the curiosity of knowing what will happen in the future or projecting the outcome of a particular event. So, predictive modeling is a statistical technique that helps analysts predict the results of future events based on historical data. It involves creating a mathematical model that collects relevant input variables and produces a predicted output variable. Let’s look at an example of a predictive modeling application to understand it better. Risk is an integral part of the BFSI sector. A financial institution wouldn’t be able to compute the amount of risk involved in onboarding a particular customer only by looking at them or their photo IDs, etc.  This is where AI plays a role as it helps build predictive models to help institutions determine the risk involved in customers and transactions. While providing loans, banks use credit scoring models to assess a client’s repayment ability.  Similarly, they can use a statistical model to predict if a customer is likely to miss an EMI in the next two to three months or so! Additionally, predictive modeling helps assess people without a credit history. AI Analytics and Predictive Modeling Career Opportunities AI data analysts blend conventional data analysis skills and AI-ML expertise. Their skills aren’t confined to interpreting historical data but making crucial projections, and accelerating and enhancing decision-making across various departments. Hence, their crucial role in a company makes them in-demand professionals.  Some roles include AI Data Analyst, Data Scientist, Financial Data Analyst, Risk Analyst, Healthcare Data Analyst, and Retail Analytics Specialist. AI data analysts have a place in every company that uses AI to analyze data, draw inferences, and make informed decisions. On the other hand, predictive modeling is an area of expertise used across various job positions and realms. For example, a bank data scientist can use predictive modeling to project outcomes and help the organization make educated decisions about customer onboarding, risks, etc.  Thus, predictive modeling can come in as an upgrade for such a person as it will help them enhance their skills and deliver more value to the company. Similarly, some other positions or professionals who must learn predictive modeling include AI programmers, financial data analysts, product data scientists, etc. Final Words AI data analytics and predictive modeling help you analyze quicker, and better and make informed predictions by leveraging AI’s predictive capabilities. They are emerging as technologies and also as encouraging career options, particularly given AI’s increasing dependence across the business world. However, these are specialized areas requiring you to pursue formal education under expert trainers and through a competent course curriculum. Data science and data analytics courses in Pune prove crucial in this regard. Experienced and credible institutes like Ethan’s continuously update and upgrade them as per industry needs, ensuring competent education. Additionally, the abundant practical exposure you receive during the course prepares you better for the challenges as well as … Read more

Future Scope of DevOps – 10 Reasons to Learn DevOps in 2024

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Reasons to Learn DevOps in 2024

Amidst the constantly evolving business environment, companies look to adopt technologies and methodologies that help expedite tasks, collaborate more productively, and enhance the customer experience. In software development, DevOps is one of them. However, while benefiting companies, DevOps also proves advantageous from a career viewpoint. It works well for freshers and experienced professionals looking to begin their career journey or want to upgrade. Accordingly, let’s look at ten reasons to learn DevOps in 2024. What is DevOps? DevOps is a software development methodology, combining people, processes, and technology. It helps the development and operations teams collaborate productively. The methodology aims to expedite software development, make it more reliable, and provide continuous value to the customers. DevOps’s advantages make it a preferred development technique, thus increasing the demand for its professionals. But becoming a DevOps professional through DevOps training in Pune, Kharadi has many more advantages. Let’s explore ten. Why Learn DevOps in 2024 – 10 Significant Reasons You Must Know! From futuristic demand to delivering better value, here’s why you must learn DevOps in 2024 and prepare yourself for opportunities. The Significance of DevOps in the Industry When you learn what the industry needs or what is important for it, you are in business! DevOps is significant for every industry and not just technology. It can be implemented in manufacturing, finance, healthcare, etc., for the various benefits it offers. Companies look up to it as a productive approach, delivering tangible results in various forms. Some standout benefits include increased efficiency through (Continuous Integration (CI) and Continuous Development (CD), enhanced team collaboration, incredible scalability, early detection and rectification of issues, and improved security. All these benefits help companies deliver much better outcomes than they would with conventional approaches. So, with a DevOps certification, you become the professional who can drive all of this, making your application and resume stand out from the crowd! Extensive Demand for DevOps Professionals Currently, the world is observing an imbalance between the demand and supply of DevOps professionals. Hence, the demand for DevOps experts stays perpetually high. Learning DevOps qualifies you for the numerous job opportunities across IT, eCommerce, media and entertainment, and many more.  Increased Employability Learning DevOps and earning certification through reputed DevOps classes in Pune helps increase your professional value. The certification establishes your expertise and credibility, convincing the employer about your abilities.  Learn Cutting-Edge Technologies Comprehensive DevOps courses involve exposure to the latest tools, technologies, and platforms. Learning these helps you better deal with the various phases involved in DevOps. Some include Jenkins, Selenium, Git, Kubernetes, Nagios, Ansible, and Docker. Quicker Career Growth DevOps’s significance in the modern context helps you unlock the doors to numerous career growth opportunities. For example, if you are an existing IT professional, you can learn DevOps and venture into the realm, upscaling your skills. As a result, you can stand a chance to become a project manager, release manager, DevOps evangelist, or automation architect. Gain a Comprehensive View of SDLC DevOps involves various phases. These include source code management, continuous integration, continuous testing, configuration management, containerization, and continuous monitoring. After learning DevOps concepts, you understand the software development lifecycle (SDLC). As a developer, you will know what is happening across the testing and production phases. Drive More Value for the Company Nowadays, companies look for people with multiple skills and expertise in different areas. It particularly applies to software development, wherein organizations want people who can manage everything technically and strategically. DevOps training in Pune Kharadi, involves learning various technologies and technicalities concerning DevOps. Accordingly, you can deliver more value to the company and emerge as one of its assets driving the difference. Deliver Better Product Quality DevOps enhances software development quality, reducing unplanned work. Besides, factoring in security in the designing and development process helps minimize security hassles in the later stages. As a DevOps professional, contributing to both aspects helps your company deliver better product quality. Gain Respect in IT – Handling Security Issues Security is a critical concern for every company. But despite its criticality, there’s a shortage of security experts due to which companies struggle to find them. Thus, many companies currently look up to DevOps professionals to implement security measures. If you’ve mastered DevOps security practices, you would also have an opportunity to work with these companies. Employ Automation DevOps depends on automation tools for various phases, including deployment, testing, monitoring, etc. Learning DevOps arms you with skills to automate various repetitive tasks, enabling you to free yourself and focus on the more strategically important tasks and deliver better value to your company. Final Words Learning DevOps can help you become a standout professional and broaden your career opportunities. However, while learning DevOps matters, choosing the right DevOps classes in Pune is also important. Ethans proves a prudent choice in this regard. Our comprehensive DevOps courses, abundant practical exposure, access to the latest technologies, and industry-oriented training approach help you become a better and more prepared professional. Call us at +91 95133 92223 to explore more about our courses and classes.

6 Phases of Data Analytics Lifecycle Every Data Analyst Should Know About

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6 Phases of Data Analytics Lifecycle

Are you an aspiring data analyst looking to take up a data analytics course in Pune? Then, learning about the data analytics lifecycle is fundamental to your knowledge and expertise. So, let’s look at the data analytics lifecycle and the six phases, including discovery, data preparation, model planning, model building, communication results, and operationalization that make up for it. Data Analytics Lifecycle and its Significance The data analytics lifecycle defines the roadmap of the way data is generated, collected, processed, used, and analyzed to accomplish business goals. These processes refer to an organized way of converting data into useful information to help businesses achieve project or organizational goals. The lifecycle guides and provides strategies for extracting information and moving in the right direction to achieve business objectives. Analysts use the circular representation of the lifecycle to analyze data in a forward or backward direction. The insights they receive help them decide whether to proceed with the existing research and stop or rework the analysis. Why should you learn about the data analytics lifecycle? The lifecycle aims to address big data problems and data science projects. The systematic and step-by-step methodology helps analysts plan tasks concerning data acquisition, processing, analysis, and recycling. These phases or stages help data analysts address specific big data analysis needs. 6 Stages of Data Analytics Process Before we see the phases of data analytics, let’s look at the various steps involved in data analysis with an example. Let’s say, an eCommerce portal is struggling with a massive number of cart abandonments. The decision-makers have taken cognizance of this concern and want to know what’s driving people away from the brand after creating a cart. As a data analyst, this is what you would do. 1. Define the Problem The process begins with understanding the task and the stakeholder’s expectations for the solution. It would involve asking the managers and other stakeholders questions about cart abandonments to find a solution to their problem. It would also involve finding the problem’s root cause to understand the concern. A couple of key questions that you must ask yourself include; Which problems have the stakeholders mentioned What are their expectations from the solution 2. Data Collection The next step is collecting data from multiple sources, including external and internal. Internal data is available in the company, whereas external information will have to be collected from outside the organization. Data generated from own resources is first-party data, while that collected and sold is called second-party data. On the other hand, data collected from external sources is termed third-party data. Common sources of data are feedback, questionnaires, surveys, etc. Accordingly, as a data analyst, you will have to collect cart abandonment data from the system and conduct online surveys to ask users why did they abandon the cart. 3. Data Cleanup The next process is cleaning the data collected. It might comprise redundancies, duplication, and irrelevant information. You must remove such data to ensure you have relevant and only the data you need to analyze. While helping you analyze the data effectively, it would also enable you to identify trends and patterns. Another significant part of this process is determining if the data is biased toward something. Such data wouldn’t let you drive the right inferences. 4. Data Analysis This is where the actual analysis begins. It involves analyzing the data, identifying trends, making calculations (using tools like Excel or SQL (Structured Query Language), and combining data for better outcomes. Additionally, programming languages like R and Python also help you analyze data. In the context of the eCommerce company, it would involve understanding, analyzing, and grouping the various reasons for cart abandonments. Check Out Full Blog – Data Preprocessing in Machine Learning: 7 Easy Steps to Follow 5. Data Visualization Visualizing helps non-technical people or the consumers of the data understand complex data. The transformed data has to be made into a visual, including a chart or a graph for a simpler comprehension of the data. You can leverage various tools to do that. A couple of them include Tableau and Looker. Tableau includes a simple drag-and-drop tool that helps create effective visualizations. Whereas, Looker is a data viz tool directly connecting to the database and creating visualizations.  6. Data Presentation Presentation is the last step in the data analysis process. It involves transforming raw information into an easily comprehensible and meaningful format. You can present the data in various forms, including graphs, charts, tables, etc., to make it easier for decision-makers to draw conclusions and make informed decisions. For example, after analyzing the data, you’ve categorized various reasons for cart abandonments, including slowly loading web pages, external distractions, network issues, unspecified, etc. If you decide to show it through a pie chart, you will be able to show the reasons and their pie share depending on the cart cancellations they result in. If slowly loading the webpage is the most common reason, the company can make efforts to enhance the website’s speed and gradually reduce the number of canceled carts. Data Analytics Lifecycle Phases Here are the six phases that form the data analytics lifecycle. Phase 1: Discovery The data science team explores the issue and investigates it. It builds context and understanding. Learn about the required and available data sources. The team builds an initial hypothesis that can later be tested with data. Phase 2: Data Preparation Methods or steps to discover, preprocess, and condition data before modeling and analysis. An analytic sandbox is required. The team executes, loads, and transforms to get data into the sandbox. The team may perform data preparation tasks several times and not in a predefined order. Some tools used for this phase are Alpine Miner, Hadoop, and Open Refine. Phase 3: Model Planning The data science team studies the data to identify connections between variables. Next, it selects crucial variables and the most useful models. Datasets used for testing, production, and training goals are created. The team builds and executes models depending on … Read more

How Much Coding is Required for a Data Analyst?

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Data Analytics Classes Near Me

Data analysts often spend a busy day collecting, cleaning, and interpreting datasets to derive meaningful insights. Usually, their job involves various technicalities and is critical as a lot depends on data these days. So, they obviously need an extensive skill set (including technical and soft skills) to do what it takes. The skill set also includes coding. However, how much coding should a data analyst know? It is a common question people looking to pursue a data analyst course in Pune ask. So, let’s answer it in this blog. What is Data Analytics? Data analytics involves assessing massive datasets to discover trends, patterns, and insights, enabling organizations to make informed decisions. Accordingly, a data analyst works on structured and unstructured data to derive useful inferences and visualize it to communicate their observations and findings lucidly, yet effectively. Now, where does coding fit into all of this? Let’s explore. Data Analytics Coding Skills Coding is a crucial element of a data analyst’s overall skill set. It enables them to manage extensive datasets, manipulate data, clean it, perform complex analysis, and automate various tasks in due course. So yes, learning basic coding is essential to becoming a competent data analyst. Nevertheless, the amount of coding knowledge you must have varies depending on your role and the company and industry’s needs. Levels of Data Analyst Coding Skills Coding skills in data analysts are usually classified as basic, intermediate, and advanced. All these levels include learning various tools, platforms, and programming languages. Here’s an overview. Basic It involves learning SQL (Structured Query Language), an essential aspect of a data analyst’s skill set. As a data analyst, you must know SQL to query databases to retrieve and manipulate data. Additionally, one can include mastering Excel, a tool many data analysts use, in the preliminary coding skills. Intermediate Next, you have intermediate coding skills. Many data analyst positions demand proficiencies in Python or R, particularly if the job involves statistical modeling, complex data analysis, or dealing with gigantic datasets. Python helps with scripting, data manipulation, and data visualization using various libraries. On the other hand, R is used for its statistical packages and data visualization tools. Additionally, companies expect data analysts to have a working knowledge of tools like Power BI or Tableau. Must Read Full Blog – Why Data Analytics Courses in Pune Stand Out : An Expert Review Advanced Advanced coding skills are less common and optional. But if you have them, you may qualify for more remunerative opportunities. Nonetheless, these include scripting or automation to automate repetitive tasks, knowledge of machine learning, and knowing how to implement models with Python or R. Being a Data Analyst Without Coding Can you become a data analyst without learning to code? You need basic coding skills (including SQL, Python basic, Python for Analytics (NumPy, Pandas, Matplotlib, and Seaborne) to qualify as a data analyst. However, to grow in your career, you can further master various other aspects of coding and unlock better opportunities. So, you cannot ignore or underestimate the value of coding in your journey to becoming a qualified and competent data analyst. Final Thoughts! By now, you must have figured out the significance of learning coding in data analytics. Coding skills can help you work on unstructured datasets, conduct more complex analyses, and automate various tasks. They can unlock the doors to better job opportunities across the world of data analytics. So, even if you don’t learn advanced, you must have basic coding skills in data analytics. Now, where do you learn all the skills we discussed? It requires enrolling in comprehensive data analytics courses in Pune. And that’s with Ethans – a distinct institute known for producing great data analysts. Learning at Ethans offers several advantages, including extensive learning, practical exposure, a competent curriculum, and placement assistance. So, we are your career and success partners, helping you embrace the broad horizon of career opportunities in data analysis. Call us at +91 95133 92223 or explore our range of data analytics courses.