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Top Data Science Projects to Build Your Portfolio

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Top Data Science Projects

Preparing to break into the competitive world of data science?  Out there, the environment is nothing less than a battlefield.  So, you must be ready with your ammo, including your skills, expertise, and knowledge. However, employers don’t merely want to see what you know.  They want to see how well you can apply what you’ve learned during your data science course in Pune and how you can help them address their challenges. So, what is it that you need to create that impression? The answer is a portfolio. Your portfolio reflects the expertise you build during the course. It should comprise the projects you’ve worked upon and the results you delivered. Thus, the more impressive your portfolio, the stronger your candidature. Therefore, let’s look at the top five data science projects you can consider working on during your data science course for beginners. Social Media Sentiment Analysis Companies often use this to determine the sentiment of customers concerning their brand or industry as a whole. It helps them align their strategy, communication and content. So, your goal in this project is to analyze customer reviews and determine the sentiment. During this project, you will use NLP (Natural Language Processing) and collect social media data with APIs and models like LSTM, Naïve Bayes, and transformers. It will help you learn text preprocessing, sentiment classification, and handling language-based nuances. You can create a dashboard to visualize sentiment trends over a particular duration to make your project and its presentation more professional. eCommerce Recommendation System Ever wondered how leading OTT and retail platforms provide accurate product recommendations? Technically, a lot happens at the backend. However, the system that makes such personalization possible is the recommendation engine. Your task in this project is to build a recommendation engine. To do so, you must use user behavior and product data to build a combined filtering or content-driven recommendation model. You can use libraries like TensorFlow or Surprise. Additionally, you must test models like Matrix Factorization, KNN, and Deep Learning models. The project will help you learn user-item interaction matrices, cold start issues, and performance metrics like MAP@K and NDCG. You can also add an element of personalization by including recommendations based on user preferences to enhance engagement and the model’s accuracy. Sales Forecasting We all want to look into the future and be prepared for it. But amidst the uncertain business environment, companies are more eager to do this than anyone else. Sales is a nucleus of forecasting for every company. And for that, they harness the power of data science and capabilities of data scientists like you. So, what’s your role here during the learning stage?  You must build a model to predict sales based on historical data.  The project will help you demonstrate your time series analysis skills, how well you can handle seasonality and trends and your comprehension of forecasting metrics. During the project, you will use technologies like Python (ARIMA, statsmodels, Pandas and more) and visualization tools like Seaborn and Matplotlib. You can make the project more engaging by comparing various forecasting methods. Furthermore, you can show the impact of different external factors like end of seasons, holidays, promotions, stock clearance, etc. Check Out – Why is Ethan’s the Best Choice for a Data Science Course in Pune? Dynamic Pricing Strategy for an Airline Operating an airline involves innumerable challenges.  However, what matters the most to every airline is whether each of its flights is fully booked. An empty seat is a loss an airline can never recover for that particular flight! So, your task is to help a company build a dynamic pricing strategy that will help an airline have flight seats that align with the changing demand and supply. In this project, you will create simulated data to signify the existing scenario wherein some flight slots are never used or never get full. Next, you will train a forecasting model (XGBRegressor) on price, days left before the trip, weekends, weekdays, etc. It will help you project how many seats the airline can fill on flights. Now, you can use the days left before the trip element as a leverage for a self-correcting dynamic pricing strategy. Earlier price adjustments and ensuring an increase in price from a particular point can help drive more bookings during the low season, thus benefiting both – the airline as well as the traveler.  You can achieve this with an optimization layer to determine the optimal increasing pattern, reducing the number of wasted slots, and optimizing airline revenue. Later, you will measure how effective these price alignments have been, particularly in terms of covering slots and revenue generated. Thus, it is an indeed amazing project you can consider doing as it benefits the airline and its passengers and drives numerical value. Fraud Detection Digital frauds, particularly in the field of BFSI are on a continuous rise. So, you have a task to build a model that detects fraudulent credit card transactions. Remember, fraud detection is one of the biggest responsibilities of a data scientist. It is a high-stake application. Hence, this project can add value and weight to your portfolio. During this project, you can work with datasets like the Kaggle Credit Card Detection to build an anomaly detection model with Isolation Forests, Autoencoders, and One-Class SVM. The project will help you learn anomaly detection techniques, data imbalance handling techniques, ROC curves, and AUC for model evaluation. While working on the project, focus on reducing the number of false positives. These matter the most in financial fraud detection. Pull Up Your Socks and Prepare for the Big Race! Of course, you can work on many other projects, which our faculty members will discuss and guide you on during your data science course in Pune. As a leading technology training partner, we emphasize shaping careers instead of merely imparting technical knowledge. Helping students build a diverse and rich portfolio is part of that career-oriented and comprehensive approach. So, why wait? You want to pursue a … Read more

10 High-Demand Data Science Certifications for 2025

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Data Science Certifications for 2025

Data scientists derive insights from data to help businesses make informed decisions. So, as data and its value grow, the role of data scientists becomes more crucial. Thus, the demand for data science as a career and data science course for beginners and data science course in Pune with placement doesn’t come as a surprise!  If you’ve been looking to pursue a data science course, here are ten high-demand data science certifications for 2025. Ethan’s Tech Data Science Course in Pune with Placement Ethan’s Tech offers various courses, including a data science course for beginners. The data science training in Pune is a comprehensive course comprising a competent curriculum that covers numerous topics. Some of them include an introduction to computer programming (Python), an introduction to RDBMS database (SQL), mathematics and statistics, machine learning (ML), natural language processing and deep learning (NLP and DL), and many more. The course is available in both modes, classroom and online. Check Out – Ethans Tech Partners with E&ICT Academy, IIT Guwahati for Advanced Certification Programs Microsoft Certified: Azure Data Science Associate Another course on this list is Azure Data Science Associate Microsoft Certification.  The course involves applying the knowledge of data science and ML to implement and run ML workloads on the Azure cloud platform. Additionally, it validates proficiency in designing and implementing data science solutions with Azure Machine Learning. IBM Data Science Professional Certificate This is a popular data science course for beginners. It is an entry-level course that covers ML, Python, and data visualization. The course uses hands-on labs with real-world datasets. SAS Certified Data Scientist SAS Certified Data Scientist is another comprehensive course focusing on advanced analytics, ML, and big data with SAS tools and open-source platforms. It is designed for people who can manipulate and gain insights from big data. By using various SAS and open-source tools, you can make business recommendations with sophisticated ML models and deploy them in the flexible SAS environment. Google Professional Data Engineer The course examines the engineer’s ability to design, secure, and operationalize data systems and ML models on Google Cloud. Furthermore, it helps you exhibit your expertise in building data-driven solutions with Google Cloud. The fact that companies use millions of gigabytes of data daily makes the need for skilled data science professionals evident. DASCA Senior Data Scientist (SDS) Are you an experienced data science professional? Then, you can enhance your expertise and amplify your value with the DASCA Senior Data Science (SDS) course! It is a comprehensive course for experienced professionals that focuses on advanced data science techniques and leadership in analytics. Databricks Certified Associate Developer for Apache Spark This is an important certification that examines your proficiency in the Spark DataFrame API for data manipulation tasks within Apache Spark. It is suitable for data engineers and analysts looking to show their proficiency in Apache Spark for big data analytics. Open Certified Data Scientist (Open CDS) If you are an experienced professional looking for practical and experience-based certification, you can opt for Open Certified Data Scientist (Open CDS). This is a vendor-neutral certification that focuses on real-world experiences instead of theory. It involves demonstrating expertise with written applications and peer interviews. The process involves highlighting practical skills in solving business problems with data. Cloudera Certified Associated (CCA) Data Analyst CCA Data Analyst helps you develop skills to create, structure, and analyze data in Cloudera’s CDH environment. You can also import data from MySQL into Hadoop, prepare to alter tables, and build reports using select and join queries. Amazon AWS Data Analytics Certification The AWS Certified Data Analytics – Specialty (DAS-C01) exam validates your understanding of using AWS services to design, build, secure, and maintain analytics solutions that offer data-driven insights. The course tests you across five different domains, including collection, processing, storage and data management, analysis and visualization, and lastly, security. Final Words! Data science certifications can help you enhance your career prospects.  However, what’s also equally important is the value you add and deliver.  Prospects follow thereafter! However, if you are looking for a data science course in Pune with placement, enroll in Ethan’s Tech. We are a reputed institute with years of experience and a proven track record of creating qualified data engineers. Call us at +91 95133 92223 to discover more.

What to Expect from a Data Science Course in Pune: Curriculum Breakdown

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What to Expect from a Data Science Course

Data science is a relatively young domain that has attracted considerable attention in the last decade due to the role played by data in organizations’ decision-making processes. Pune is famously known as the “Oxford of the East” because of the prominence of education in the city and has emerged as a preferred destination for young data scientists. This article gives a complete insight into what a data science course in Pune entails; the plan of study and the result expected at the end of the course.   Introduction to Data Science Any course in data science that is being offered in Pune begins with getting the students acquainted with important concepts of data science. Learning at this stage is important because it builds the basis for future concepts to be taught. Students learn about:   Data Types and Structures: Knowing the kinds of data such as structured, unstructured, and semi-structured data and the process of storing them.  Data Collection Methods: Methods of collecting information from different sources such as databases, web scraping pages, and Application Programming Interface.  Data Cleaning and Preprocessing: Techniques used to prepare data for analysis, one which is data cleaning.   Programming for Data Science Thus, basic programming skills are mandatory skills for any data scientist. Courses in Pune typically cover:   Python and R: These are the fundamental programming languages used in data science. The elements that form the offered curriculum refer to syntax, libraries, and frameworks useful for data handling and processing.  SQL: Structured Query Language is also a crucial aspect that allows it to manage and query relational databases. By the time a student gets to this level, they can write optimized SQL queries that help in retrieving and transforming data.  Big Data Tools: Familiarity with big data technologies such as Hadoop and Spark which are very important for managing massive datasets.   Statistics and Probability It cannot be overemphasized that statistics and probability are the cornerstones of data science. Courses in Pune cover:  Descriptive Statistics: Descriptive statistics entails summarizing and describing the main characteristics of a set of data.  Inferential Statistics: Strategies of concluding populations where the entire population data is unknown but an entire population is a subset of the samples obtained.  Probability Theory: Knowledge about the risks and probabilities for certain results, which is vital when doing probabilistic analysis.  Data Visualization As has been postulated, the management of big data entails data analysis and explanation. Key areas include:   Matplotlib and Seaborn: These are the Python libraries that are commonly used in creating static, animated, and interactive plots.  Tableau: It is rather a very useful tool, which is used to design and develop complicated dashboards and analytic visuals.  Plotly: An Open Source, JavaScript-based library to create dynamic, highly interactive and publication-quality graphs online.  Machine Learning   It is also worth knowing that machine learning is always the central part of any data science curriculum. In Pune, students can expect to learn about: Supervised Learning: Supervised learning techniques that involve an element of teaching the model with pre-assigned labels. Included subjects are regression analysis, logistic regression analysis, decision trees and support vector machines.  Unsupervised Learning: Generic forms for training based on a data set without prior labeled outcomes. Discussed materials are clustering algorithms such as K-means, or hierarchical clustering and dimensionality reduction methods like PCA, and t-SNE.  Reinforcement Learning: A branch of Artificial Intelligence in which an agent acquires knowledge in how to make decisions through taking actions in an environment with a view of getting the largest amount of reward in the long run.  Deep Learning  The second subfield is machine learning, the subfield that deals with neural networks and their uses is called deep learning. The curriculum often includes:  Neural Networks: Perceptron, activity function and Feedforward neural network as a primary component of deep learning.  Convolutional Neural Networks (CNNs): It can be utilized mainly in image identification, or other words, the assessment of objects as visual images.  Recurrent Neural Networks (RNNs): It is used in sequence generation problems such as time series analysis and natural language processing (NLP).  Natural Language Processing (NLP) The next type of data which requires natural language processing is text data. A data science course in Pune typically covers: Text Preprocessing: Pre-processing methods like Tokenising, Stemming, Lemmatizing, and Stopword Elimination.  Sentiment Analysis: About the comprehension and analysis of the qualitative characteristics of text data.  Text Classification: Techniques to assign a given test text into already specified classes.   Capstone Projects and Internships  Real-life experience or field experience is very important when it comes to data science. Most courses in Pune include:  Capstone Projects: Since people are naturally creative, teaching them involves giving them comprehensive projects that can enable them to solve real-life issues as they incorporate what they have been taught. In these projects, there is the use of datasets from industry partners, which are incorporated in creating such projects.  Internships: The various chances to work with the companies and get practical experience as well as acquainted with the companies’ representatives. Soft skill and professional development One must understand that knowledge in the technical domain is not enough to make a perfect data scientist. Courses in Pune also put focus on: Communication Skills: Understanding the best approach in presenting data and insights to top-shape technical personnel and other general business persons.  Team Collaboration: Working in teams, often on collaborative projects, to mirror real-world data science environments. Ethical Considerations: Understanding the ethical implications of data science and ensuring responsible use of data. Learning Outcomes  By the end of a data science course in Pune, students can expect to:   Master Core Concepts: A solid grounding in the subject matter with knowledge of data manipulation and statistical analysis as well as machine learning techniques.  Develop Technical Proficiency: Familiarity with programming languages such as Python, R, and SQL as well as tools like Tableau, Hadoop and Spark.  Apply Theoretical Knowledge: Skills in using and explaining different machine learning types and methods.  Create Visualizations: Competence in the process of data visualization and production of informative reports and dashboards.  … Read more

6 Reasons to Study Data Science – Ethans

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reasons-to-study-data-science

According to Harvard Business Review, the sexiest job of the twenty-first century is becoming a data scientist.  Two definitions of data science are the study of data generated from various sources and the process of turning it into useful information that can aid in corporate decision-making.. A data scientist is a professional who spends a lot of time working with raw data to extract insightful business information from it. With the use of their data visualization skills, a data scientist improves business decision-making by bringing more speed and better direction to the entire process. Enroll in a data science course for beginners for a promising career path in this thriving field. Here are the reasons why to learn data science: Data is the New Gold Although we have seen a dramatic increase in the amount of data being produced and consumed, collecting data alone renders it worthless. The knowledge produced by this excellent resource is what provides an organisation with the genuine effect necessary for expansion. We have already observed that businesses that have mastered the collection and use of data outperform their rivals.  High Demand In the modern corporate world, firms cannot disregard the usage of data analytics. Due to the enormous amount of data available, data scientists are in high demand. In 2020, there will be a rise of 364,000 to 2,720,000 openings, according to IBM. The demand will only increase, reaching a startling 700,000 openings.  The top position on Glassdoor’s website, according to that company, is data scientist. Future developments will not affect this position. Check out What to Expect from a Data Science Course in Pune: Curriculum Breakdown. It is a “high-demand skill” since the need for data scientists is increasing exponentially. Companies are paying enormous amounts to those with the qualifications to work as data analysts, scientists, engineers, etc. The second-highest nation for hiring workers in the field of data science or data analytics is India. Lucrative Career Choice Professionals in data science make significantly more money than workers in other markets.  In India, a data scientist makes an average pay of Rs 6,99,928, and a data analyst makes an average compensation of Rs 4,04,924. Your income is likely to improve annually by about 15% if you complete a data science course from a reputable institution. Your salary will continue to rise as you get more work experience and skill proficiency.  High Flexibility Numerous new opportunities are emerging as a result of the massive data surge. Data scientists are in high demand across numerous industries, including business, energy, government, healthcare, intelligence, and security. Additionally, as data science has a wide range of applications, you can choose a career path that appeals to your unique interests. According to professionals who offer data science courses in Pune with placement, it’s an exciting moment to think about a career in the field.  Leadership Roles Shortly, businesses will start using data science for a variety of processes, including Project Management. Businesses may make more profitable decisions with less effort by employing data science to comprehend data insights and patterns. Data analysts need to be able to explain complicated results to the organization’s technical staff. Data analysts now play a significant role in the businesses’ decision-making process thanks to these communications, which are crucial. Experts in analytics frequently have great leadership qualities as well.  Artificial Intelligence The field of artificial intelligence is developing. AI has a wide range of current practical applications. Based on prior data, AI continues to learn over time. A well-known example of an intelligence system created combining data science and artificial intelligence is a chatbot. Although the discipline of data science is vast, the rewards are much larger. Today’s world is seeing a rapid evolution of technologies, and to keep up and advance, we must be adaptable.  The best strategy is to enrol in a Data Science course for beginners certification course that is linked with the market. Since we are ISO 9001:2015 certified, the accreditation from well-known organizations like Ethans Tech adds weight if the employer is seeking the finest candidate. Our data science course in Pune accreditation is accepted by numerous prestigious businesses. Join us as you take the first step toward a thrilling and promising future.