Data Science and Data Analytics training is open to all learners. Based on our teaching experience, even students from non-technical backgrounds can successfully learn these skills. Participants in a batch may range from freshers to professionals with many years of work experience. Individuals from fields like finance, commerce, management, and business are also learning data analytics to apply insights in their daily work. It’s an excellent starting point for beginners and a valuable upgrade for working professionals.
- Admission Open For New batch
Advance Certification Program in Data Science & Analytics
In Association with:
Certification aligned to:
- Advanced Certification from MeitY (Ministry of Electronics and Information Technology) in association with FutureSkills Prime.
- 06 Months technical training program with hybrid classes (online + offline), ideal for learners looking Data Science & Data Analytics classes in Pune.
- Suitable for college students, graduates, postgraduates, candidates with a career gap, and early professionals.
- Start from scratch – no prior experience needed, all prerequisites will be covered.
- Next-Gen curriculum for the age of Data Science, AI-powered analytics, intelligent automation, and modern data platforms.
31st Dec
Next Batch
06 Months
Course Duration
Hybrid
Online + Offline
5 LPA
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Advanced Certification in Data Science & Analytics Classes in Pune
Data Science & Analytics Training Classes in Pune
Lectures: 750 Hours | Duration: 06 Months | Training Mode: Classroom & Online
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Data Science & Analytics Training Location
- Wakad
- Kharadi
- Shivajinagar
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Our team is made up of industry experts, seasoned professionals, and passionate trainers who work together as a close-knit family. We believe in not just teaching, but inspiring and growing together — creating a learning environment that feels like home and performs like the best in the business.
Gurjeet Sir
Ex IIT Kharagpur, AI
Sachin Sir
Ex Microsoft – Azure
Vinit Sir
Ex IIT Bombay, GenAI
Alam Sir
Cloud & DevOps Architect
Jatin Sir
Ex Credit Suisse, Python
Siddhant Sir
Ex IIIT Allahabad, DSA
Raman Sir
Ex-Data Analyst, MuSigma
Anurag Sir
Ex-IIM Bangalore, GenAI
Himanshu Sir
Ex-Data Scientist, PwC
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About the Course
Advanced Certification in Data Science & Analytics
What is Data Science & Analytics all about?
Data Science and Analytics focus on extracting meaningful insights from data to support decision-making, optimize processes, and drive business value. While Data Science involves advanced techniques such as machine learning and AI, Data Analytics emphasizes analyzing historical data to identify trends, patterns, and actionable insights.
Key Aspects of Data Science & Analytics:
- Data Collection – Gathering structured and unstructured data from multiple sources, including databases, APIs, social media, and IoT devices.
- Data Cleaning & Preparation – Ensuring data accuracy, consistency, and completeness by handling missing values, duplicates, and inconsistencies.
- Data Processing & Transformation – Structuring raw data into an analyzable format using statistical and computational techniques.
- Exploratory Data Analysis (EDA) – Using statistical methods and visualization tools to detect patterns, correlations, and anomalies in data.
- Descriptive Analytics – Summarizing historical data to understand past trends and business performance.
- Diagnostic Analytics – Investigating past data to determine causes behind trends and anomalies.
- Predictive Analytics – Leveraging statistical models and machine learning to forecast future trends and behaviors based on historical data.
- Prescriptive Analytics – Providing actionable recommendations using optimization algorithms, AI, and advanced simulations.
- Data Visualization & Reporting – Communicating insights through dashboards, charts, and reports to facilitate informed decision-making.
- Business & Industry Applications – Applying analytics to areas like finance, marketing, healthcare, supply chain, and customer experience to improve efficiency and innovation.
Key Differences Between Data Science & Data Analytics:
- Data Science: Involves AI, machine learning, and predictive modeling for automation and intelligent decision-making.
- Data Analytics: Focuses on extracting insights from historical data to optimize business processes and performance.
Together, Data Science and Analytics play a crucial role in transforming raw data into valuable insights that drive strategic and operational decisions across various industries.
Who is a Data Scientist and Data Analyst?
Data Scientist
A Data Scientist works with structured and unstructured data to build machine learning models and AI-driven solutions. They focus on predictive analytics, automation, and advanced data science techniques.
Key Skills:
- Programming (Python, R, SQL)
- Machine Learning, AI, Deep Learning
- Big Data (Hadoop, Spark)
- Data Wrangling & Visualization (Tableau, Power BI)
Data Analyst
A Data Analyst interprets historical data to identify trends and provide actionable business insights. They work with structured data and focus on reporting and visualization.
Key Skills:
- SQL, Excel, Tableau, Power BI
- Data Cleaning & Transformation
- Statistical Analysis
- Business Intelligence
Why one should take Data Science & Analytics Course?
With the explosion of data (Big Data) and its related fields, the demand for Data Science & Analytics professionals has skyrocketed. Organizations across industries need experts who can collect, process, analyze, and interpret data to derive meaningful business insights and drive intelligent decision-making. According to IBM, job openings in data-related fields were expected to grow between 200,000 to 700,000, highlighting the increasing demand for skilled professionals. Glassdoor ranks Data Scientist as the number one job, and the demand for Data Analysts, Data Engineers, and Big Data Architects continues to grow. Sectors like finance, telecom, retail, and insurance are leading the recruitment for data professionals. A report from Indeed showed a 29% year-over-year increase in job postings for data scientists and analysts, with a 344% rise since 2013. However, job seeker interest is growing at a slower rate, creating a significant gap between demand and supply. As a result, Data Science & Analytics skills are considered “high-demand” by top hiring platforms. With businesses relying heavily on data-driven decision-making, professionals skilled in data analytics, visualization, machine learning, and statistical modeling are being offered competitive salaries. India ranks as the second-highest country for hiring Data Science & Analytics professionals, with 50,000+ job openings, second only to the United States. This booming field offers lucrative career opportunities, making Data Science & Analytics one of the most promising domains for the future.
What is the scope of Job Opportunities With Data Science & Analytics Training?
The demand for Data Science & Analytics professionals has surged in recent years, with India being the second-highest country for hiring in this domain, offering over 50,000 job opportunities. As organizations continue to rely on data-driven decision-making, careers in this field are expected to grow significantly.
If you complete a certification course in Data Science & Analytics, your career prospects will expand, allowing you to apply for various high-paying roles, including:
Data Scientist – Responsible for collecting and analyzing large volumes of structured and unstructured data to generate actionable insights for solving complex business problems.
Average salary: ₹7,00,000 per annumData Engineer – Designs and builds reliable data infrastructures, ensuring data is transformed into a usable format for analysis and modeling. This role is critical in any data-driven organization.
Average salary: ₹10,00,000 per annumData Analyst – Translates raw data into meaningful reports, charts, and insights that help businesses make informed decisions. Strong skills in visualization and statistical analysis are essential.
Average salary: ₹6,00,000 per annum
Completing a Data Science & Analytics certification can lead to an annual salary increase of 15%, with further growth as you gain experience and expand your skill set. With businesses across industries prioritizing data-driven strategies, this field offers some of the most promising and lucrative career opportunities.
Why Choose Ethans for Data Science & Analytic?
This Data Science & Analytics Training in Pune is the perfect choice for individuals looking to build a career in data-driven technologies. Whether you are a fresher, job seeker, or a professional aiming for a career shift, this course is designed to equip you with in-demand skills.
The training starts from the basics, covering Statistics, Mathematics, SQL, Exploratory Data Analysis (EDA), and Python programming, and progresses to advanced topics such as Machine Learning, AI, Business Analytics, Predictive Analytics, and Text Analytics.
Who Should Enroll?
- Freshers/Graduates
- Job Seekers
- Data Analysts & Business Analysts
- Database Administrators & IT Developers
- Networking Professionals
- Legacy Technology & Software Professionals looking for a career shift
With the growing demand for Big Data Analytics, this is the right time to step into the field. Our expert trainers and mentors will guide you throughout the training, ensuring you gain hands-on experience and industry-relevant skills. By the end of this program, you will be well-prepared for various roles in Data Science & Analytics and ready to secure your place in this high-demand industry.
How Ethans offer the training?
Our course is designed by industry mentors from various MNCs after thoughtful discussions and a series of brainstorming sessions. The aim is to enable individuals to comfortably work on any related IT projects. In addition to regular sessions, we mentor individuals on building a strong social profile with a good number of use cases and application code. We encourage writing blogs and completing self-paced sample projects to build a strong individual portfolio.
We also provide guidance on technical discussions and presentation skills to help you present yourself better. We have collaborations with multiple top-notch companies, aiding our students in switching their domains and companies. We arrange resume building and grooming sessions to boost confidence and credibility. Our students are added to our placements forum, giving them access to multiple job references from our extensive network of faculties. A technical discussion forum is also maintained to help sort out technical queries.
Upon completion of the course and assessment of the assigned projects, Ethans Tech provides you with a course completion certificate, which adds a valuable credential to your professional profile.
Syllabus
Advanced Certification in Data Science & Analytics
Syllabus for Advanced Certification in Data Science & Analytics at Ethans
Python Essentials: Learn, Code, Create
Python Basics: Learn to Code
- Introduction to Python Programming:
- Basic Data Types in Python
- Variables and Naming Conventions
- Data Types in Python:
- Data Structure
- Python String Object
- Python List and Tuple Objects
- Python Dictionary Object
- Python Set Object
- Indexing & Slicing:
- Importance of indexing in Python
- Introduction to Slicing
- Indexing and Slicing in Strings
- Indexing and Slicing in Lists and Tuples
- Operators in Python:
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Assignment Operators
- Membership Operators
- In-Built Functions & Methods:
- Exploring Built-in Functions
- Use Built-in Functions with data types
- Introducing Built-in Methods for specific data types
- Introduction to Python Programming:
Python Control Flow Simplified
- Statements, Indentation and Conditionals:
- Statements and Indentation
- Introduction to Conditional Statements
- Combining Multiple Conditions
- Loops & Iterations:
- Conditional Loops (While Loop)
- Conditional Loops (For Loop)
- Master ‘for’ loops, Learn ‘while’ loops
- Comprehend loop control statements
- Explore nested loops
- Statements, Indentation and Conditionals:
Building Smarter Programs
- Custom Functions in Python:
- Introduction to Custom Functions
- Defining and Calling Custom Functions in Python
- Working with Arguments and Return Values
- Advanced Looping Concepts:
- List Comprehension
- Set Comprehension
- Dictionary Comprehension
- Lambda Functions
- OOPs in Python:
- Introduction to Object-Oriented Programming (OOPs)
- Creating and Working with Classes
- Understanding Objects and Instances
- Working with Attributes
- Utilizing Methods in Classes
- Embracing Polymorphism
- Leveraging Inheritance
- Exception Handling & Logging:
- Introduction to Exception Handling
- Try-Except Block: Catching Exceptions
- Handling Specific Exceptions
- Finally Block: Cleaning Up After Exceptions
- Raising Exceptions: Taking Control
- Handling Multiple Exceptions: The Exceptional Mastery
- Custom Functions in Python:
Numerical Programming in Python
Python Data Structures and Algorithms
- Data Structures Fundamentals:
- Introduction to Data Structures
- Arrays
- Efficient String Operations:
- Introduction to Strings
- Combining strings using concatenation (+)
- Searching and Finding
- Introduction to regex
- Recursion Fundamentals:
- Understanding Recursion: Introduction and Basics
- Recursive Function Design
- Implementing Recursion in Algorithms
- Analyzing Recursive Calls
- Mastering Recursion Concept:
- Time and space complexity
- Algorithm Fundamentals:
- Introduction to Algorithms
- Big O Notation
- Sorting Algorithms
- Searching Algorithms
- Data Structures Fundamentals:
Python Data Wrangling
- Getting Started with Pandas & Numpy:
- Introduction to Pandas & Numpy
- Mastering Data Wrangling:
- Series and dataframes
- Indexing and slicing
- Manipulating data
- Advanced Data Wrangling Concepts:
- Introduction to Data Wrangling
- Handling Missing Data
- Merging and Joining Data
- Grouping and Aggregation
- Reshaping Data
- Filtering Data
- Data Wrangling – Code Optimisation:
- Techniques for Code Optimization
- Strategies for Parallel and Distributed Data Wrangling
- Best Practices for Efficient Data Wrangling
- Data Wrangling on Different Data Formats:
- Data Wrangling on Different Data Formats
- Data Management Libraries:
- File Management Libraries
- Data Manipulation Libraries
- Data Visualization Libraries
- Web Scraping
- Regular Expression Libraries
- Date and Time Libraries
- Web Scraping using Python:
- Introduction to Web Scraping
- Getting Started with Pandas & Numpy:
Python Visualization Libraries in Action
- Data Visualization with Matplotlib & Seaborn:
- Introduction to Matplotlib and Seaborn Plots
- Data Visualization with Matplotlib & Seaborn:
Mastering Data Domain with SQL
Introduction to SQL: Learn the Lang. of Data
- SQL Basics for Data Analysis:
- Introduction to SQL
- Setting up the SQL environment
- Basic SQL Commands
- Creating and Deleting Databases and Tables
- Importing and Exporting Data from CSV Files
- Fundamentals of SQL Query:
- Anatomy of SQL Query
- SQL Data Types and Operators
- Filtering and Sorting Data in SQL
- Aggregate functions in SQL
- Dealing With Multiple Tables:
- Grouping Data – GROUP BY
- HAVING
- Subqueries
- Joining tables using INNER JOIN, LEFT JOIN, RIGHT JOIN & FULL OUTER JOIN
- Alias in SQL queries
- Working with Multiple Tables Using Subqueries
- Using Set Operators
- Aggregating Data from Multiple Tables using GROUP BY and HAVING.
- Advanced SQL Joins:
- Advanced Join Techniques
- Joining multiple tables
- Handling duplicate records and eliminating duplicates
- Using UNION and UNION ALL to combine data from multiple tables
- SQL Basics for Data Analysis:
SQL In-Built Functions
- Type Casting & Math Functions:
- Mathematical Functions
- Type Conversion Functions
- Using CASE Statements to Perform Conditional Operations
- DateTime & String Functions:
- Working with date/time data in SQL
- Date/time functions
- Formatting date/time data
- String manipulation functions (e.g. UPPER, LOWER, LEFT, RIGHT, etc.)
- Regular expressions in SQL for string operations
- Using CONCAT_WS to concatenate strings with a separator
- Window Functions:
- Syntax of Windows Function
- Ranking functions (e.g. ROW_NUMBER, RANK, DENSE_RANK, etc.)
- Aggregate functions using windows (e.g. SUM, AVG, MAX, MIN, etc.)
- Partitioning data for window functions
- Understanding the difference between row-based and aggregate-based window functions
- Type Casting & Math Functions:
SQL for Data Preparation
- Complex queries using CTE & Pivoting:
- Common Table Expressions(CTE)
- Recursive CTEs for Hierarchical Data
- Combining CTEs with Window Functions and Subqueries
- Understanding the Performance Implications of CTEs
- Database Management & Schema Design:
- Understanding The Relational Model and Database Schema Design
- Normalization and Denormalization of Database Tables
- Database Administration Tasks
- Implementing Indexes and Constraints for Data Integrity
- Designing Efficient Database Queries for Performance Optimization
- Complex queries using CTE & Pivoting:
Data Visualization Tools
Data Analysis using Excel
- Fundamentals of Excel:
- Introduction to Excel
- Reading Data into Excel
- Basic Data Manipulation in Excel
- Arithmetic Manipulation in Excel
- Basic Functions in Excel
- Function Using Absolute and Relative Reference in Excel
- Additional Useful Function in Excel
- Conditional Statements in Excel
- Data Exploration with In-Built Functions:
- Data Filtering in Excel
- Data Validation in Excel
- Use of Pivot Tables in Excel
- Pivot Table Operations & Applications
- Introduction to Charts in Excel
- Excel Shortcuts
- Storytelling with Excel:
- Introduction to storytelling with data
- The importance of data visualization in storytelling
- Choosing the right chart type for different data scenarios
- Understanding the principles of good data visualization
- How to use Excel to create compelling data visualizations
- Advanced Dashboarding Concepts:
- Introduction to dashboards
- The purpose and benefits of dashboards
- Choosing the right chart types for different dashboard scenarios
- Techniques for creating interactive dashboards in Excel
- Creating dashboard templates for reuse
- Sharing dashboards with stakeholders
- Fundamentals of Excel:
Tableau for Professionals
- Getting Started with Tableau Ecosystem:
- Introduction to Tableau
- Use of tableau for the company’s KPI
- What are business KPIs?
- Choosing the Right Chart:
- What Is a Chart and Types of Charts?
- Line Chart
- Bar Chart and Column Chart
- Pie Chart
- Area Chart
- Dashboarding & Storytelling with Tableau:
- Best Practices for Dashboard Design
- Define your goal: Start by identifying the key insights or metrics that you want to communicate through your dashboard
- Use appropriate visualizations: Choose the right charts and graphs to best represent your data
- Make it interactive: Use filters and other interactive elements to allow users to explore the data
- Keep it simple: Avoid using too many elements that may confuse or distract the viewer
- Getting Started with Tableau Ecosystem:
Data-Driven Business Analysis with Power BI
- Dashboarding with Power Bl:
- Introduction to creating and formatting table visualization
- Formatting Our First visualization
- Creating Different Visualizations: Matrices and Charts
- Adding More Control to Your Visualizations
- Introduction to Mapping
- Measure Performance by Using Kpis, Gauges, and Cards
- Advanced Dashboarding Concepts with PowerBl:
- Introduction to Get and Transform Data
- Introduction for Get Data – Home
- Getting multiple files
- Transform menu
- Customer & Web Analytics:
- Introduction
- Understanding customer behavior and preferences through website data
- Key performance indicators (KPIs) for website analytics
- Analyzing website traffic and user engagement using tools like Google Analytics
- A/B testing and experimental design for website optimization
- Creating user personas and segments for targeted marketing -Cro techniques
- Identifying opportunities for upselling and cross-selling through website data
- Advanced Charts:
- Introduction
- Visualization best practices and chart selection for different data types and analysis goals
- Advanced chart types and techniques, such as heatmaps, sankey diagrams, and sparklines
- Tools for creating advanced charts, such as D3.js, Plotly, and Tableau
- Dashboard design principles and user experience considerations
- Creating interactive charts and dashboards for exploratory data analysis
- Dashboarding with Business KPIs – Ecommerce:
- Key Performance Indicators (KPIs) for Ecommerce Businesses
- Defining Business Goals and Objectives for E-commerce Dashboards
- Selecting and Designing Appropriate Charts and Visualizations for E-commerce KPIs
- Identifying Trends and Patterns in E-commerce Data Using Exploratory Analysis Techniques
- Creating Data-Driven Recommendations for Improving Ecommerce Performance
- Measuring the Impact of Marketing Campaigns and Other Initiatives on Ecommerce Metrics
- Integrating Data from Multiple Sources into E-commerce Dashboards
- Dashboarding with Power Bl:
Applied Statistics
Maths Essentials
- Foundational Maths for DS:
- Introduction to Linear Algebra
- Theory of Matrices
- Determinant of a Matrix
- Eigenvalues and Eigenvectors
- Advanced Maths for DS:
- Calculus
- Differentiation
- Integration
- Maxima and Minima using derivatives
- Partial Derivatives
- Foundational Maths for DS:
Descriptive Statistics
- Probability Theory:
- Introduction to probability theory
- Conditional probability and Bayes theorem
- Random variables and properties
- Data Summarization:
- Introduction to data summarization
- Descriptive statistics and its uses
- Measures of central tendency
- Percentile and quartiles
- Skewness and kurtosis
- Outlier detection and treatment
- Discrete Probability Distributions:
- Probability mass function
- Cumulative distribution function
- Distribution
- Continuous Probability Distributions:
- Probability density function
- Cumulative distribution function
- Distribution
- Joint Distribution Concept:
- Joint probability mass function
- Joint probability density function
- Covariance and correlation
- Multivariate normal distribution
- Probability Theory:
Mastering Inferential Statistics
- Sampling & Statistical Inference:
- Introduction to Sampling
- Probability Sampling
- Non-Probability Sampling
- Sampling Bias and Estimation
- Sample Size Determination and Sum of Independent Random Variables
- Concept of Confidence:
- Introduction to Confidence Levels
- Interpreting Confidence Intervals
- Choosing Appropriate Confidence Levels
- Hypothesis Testing:
- Hypothesis
- Null and Alternative Hypotheses
- Type I and Type II Errors
- One-Tailed and Two-Tailed Tests
- P-Values
- Experimental Design:
- Experimental Design
- Types of Experimental Design
- Hypothesis Testing
- Power Analysis
- Ethical Considerations
- Sampling & Statistical Inference:
Introduction to Machine Learning
Unlocking Machine Learning
- Learning Objective:
- Introduction to ML
- Supervised and Unsupervised Algorithms
- Understand the Mechanisms Behind Machine Learning
- Mechanisms Behind Machine Learning:
- Introduction to mechanism of Supervised
- Unsupervised and Deep Learning
- Supervised Learning – Regression:
- What are supervised models?
- What is regression analysis?
- Types of Regression Models
- Supervised Learning – Classification:
- Introduction to Supervised Models – Classification
- Logistic Regression
- What is logistic regression?
- Implementing logistic regression
- Evaluation Metrics used for Classification
- Defining the cost function
- Decision Trees:
- What is a Decision Tree?
- How to split?
- Math Behind it
- Simple Implementation
- Advantages & Disadvantages
- Unsupervised Learning:
- What is Unsupervised Learning?
- Introduction to Clustering
- K-Means Clustering
- Simple Example
- Expectation-Maximization
- Silhouette Analysis
- Elbow Method
- Implementation of K-Means
- Limitations
- Learning Objective:
Optimizing Models for Accuracy
- Data Preparation for ML Models:
- Introduction
- Understanding the data: Data types, data quality, and data distribution
- Handling missing values: Imputation techniques
- Handling outliers: Detection and removal techniques
- Dealing with categorical data: Techniques for encoding categorical variables
- Data normalization and scaling: Techniques and their applicability
- Optimizing Model Performance With Validation:
- Introduction
- Why Cross-Validation?
- K-Fold Cross-Validation
- Stratified K-Fold Cross-Validation
- Trade-off between Train-Test Split and Cross-Validation
- Optimizing the number of folds: Bias-variance tradeoff
- Hyperparameter Tuning
- Feature Engineering for Interpretable Models:
- What is Feature Engineering?
- Why do we need it?
- What is feature understanding?
- Basic EDA
- Other methods for Feature Engineering
- Customer Segmentation – Case Study:
- What is customer segmentation?
- Why segment customers?
- What are the benefits of customer segmentation
- Analysis of the customer segments
- Data Preparation for ML Models:
Beyond Simplicity – Artificial Intelligence
- Bagging & Boosting:
- What are ensembles?
- Bagging
- Boosting
- Stacking
- Bagging vs Boosting
- Neural Networks:
- Understanding Neural Networks
- Decoding how neural networks work?
- Artificial Neural Networks
- Implementing Neural Network
- Introduction to NLP:
- Introduction to NLP
- Basic Concepts of NLP
- Sentiment Analysis
- Tokenization
- Lemmatization
- Stemming vs Lemmatization
- Vectorization
- Image Processing (Self Paced):
- Introduction
- Understanding digital images: Pixels, color spaces, and image representation
- Image filtering: Techniques for enhancing image quality and removing noise
- Object detection: Techniques for identifying and localizing objects in an image
- Image segmentation: Techniques for separating the foreground and background regions in an image
- Deep learning for image processing
- Time Series Analysis:
- Introduction
- What is a time series data?
- Stationarity and its importance
- Smoothing Technique: Moving Average
- Forecasting Techniques: ARIMA & SARIMA
- Recommender Systems:
- Introduction
- Understanding recommendation systems: Collaborative filtering, Content-based filtering, and hybrid models
- Understanding Recommendation Systems: Implementation of Collaborative Filtering, Content Based Filtering, Implementation of Content Based Filtering
- Evaluation metrics for recommendation systems: Precision, recall, F1-score, and others
- Real-world applications of recommendation systems: E-commerce, social media, and others.
- Bagging & Boosting:
Features
Classroom Sessions
Ethans Pune delivers training designed to meet real-world demands, with strong emphasis on hands-on and project-based learning. Sessions are interactive, ensuring individual attention for every student. Learners also get access to online doubt-clearing sessions, recorded backup classes, and a discussion forum for continuous academic support.
Learning Management System
Our LMS provides free add-on courses to strengthen cross-functional skills required in the industry. Students can revisit recorded sessions from their ongoing batches and access structured study resources. These include assignments, projects, POCs, and reference materials that support learning across all modules and help reinforce key concepts.
Quiz, Assignments & POC's
Each course is supported with topic-wise quizzes, practical assignments, and interview-oriented tasks. Assignments are customized based on student skill level and project needs, typically requiring around one hour daily. These tasks simulate real company scenarios, ensuring hands-on exposure, along with complementary study material for every module.
FutureSkills Prime Certification
Ethans is an ISO 9001:2015 certified institute, offering certifications recognized across industries. After successful assessment by industry experts, students receive a course completion certificate endorsed by FutureSkills Prime. This certification adds credibility to your profile, strengthens your resume, and enhances opportunities upon course and project completion.
Real-life Case Studies
Ethans integrates real-time projects with practical business use cases into its curriculum. Students learn to understand business requirements, perform analysis, and solve implementation challenges. This hands-on approach bridges the gap between theory and practice, helping learners gain confidence by applying concepts to real-world industry scenarios.
Job Assistance Program
After completing a course, eligible students can opt for Ethans’ job assistance program. This includes resume building, profile optimization, and interview guidance. With a strong alumni network of over 5,000 members, job opportunities are regularly shared. Over 3,000 students have successfully placed across leading companies in India.
Learning Management System Here (LMS)
Learn anytime, anywhere & track your progress.
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Data Science & Analytics – Program Highlights
Unlock the power of data with Ethans Tech’s Data Science & Analytics Certification, crafted for aspiring data analysts, data scientists, and AI professionals. This program takes you from absolute basics to advanced data science and analytics practices, equipping you to handle real-world datasets, build predictive models, and deliver data-driven insights for business decision-making.
- 15+ Hands-on Projects – Gain practical expertise by working on real-time Data Science & Analytics projects across industries.
- Internship-Integrated Program in Data Science & Analytics – Learn and apply your skills in real business environments with hands-on internship.
- Comprehensive Coverage – Master core concepts including statistics, Python, SQL, machine learning, wrangling, model deployment, and analytics reporting.
- Tied-Up with 500+ Companies – Explore job opportunities with top recruiters hiring for data scientist and Analyst roles.
- 100% Career Support – Access our unique POD hiring platform, career mentorship, and placement assistance.
- Master Data Analytics & Model Deployment –Learn how to analyze data, build predictive models, deploy solutions, and integrate pipelines across platforms.
- Job Readiness Program – Includes resume building, mock interviews, and soft skill training to prepare you for Data Science & Analytics interviews.
- Recognized Certification – Earn an industry-recognized certificate and receive dedicated support to launch your career in Data Science & Analytics.
- Receive industry-recognized certification and 100% placement support, including resume building, mock interviews.
Up-Skill with an Industry-Recognized Certificate
Gain a competitive edge in the job market with our industry-recognized certification, designed to validate your skills and elevate your career.
Government-Recognized Certification
Earn a prestigious certification jointly endorsed by FutureSkills Prime and MeitY, ensuring strong credibility and national-level recognition.
Skill-Focused Digital Careers Framework
Learn through a curriculum aligned with India’s future digital workforce standards, designed to build job-ready technical expertise.
Verified & Shareable Credential
Add the MeitY-recognized certificate to your LinkedIn, resume, and professional profiles for enhanced employer visibility.
Validated Certification from Ethans Tech
Receive a professional certificate that validates your expertise and is recognized across leading IT companies.
Training Backed by Real-World Expertise
Ethans Tech follows a practical, hands-on training approach aligned with industry needs, boosting your job readiness.
Professional Credential for Career Growth
Showcase your technical skills with a credible certificate that strengthens your portfolio and improves hiring prospects.
Internship Certificate by Nexgen Analytix
Gain an official internship certificate showcasing your practical experience and real-time project exposure.
Verified Industry Internship Recognition
Highlight your applied skills, teamwork, and domain knowledge through a certificate trusted by employers.
Career-Boosting Professional Doc
Add the internship certificate to your resume and LinkedIn to demonstrate hands-on experience and industry exposure.
Master 12+ In-demand Skills in Data Science & Analytics
- Data Science Fundamentals
- SQL for Data Analysis
- Model Deployment
- Statistics & Probability for Data Analysis
- Exploratory Data Analysis (EDA)
- Data Storytelling
- Data Wrangling with Python
- Business Intelligence Tools
- Business Communication
- Data Visualization
- Machine Learning
- Natural Language Processing
Why to Join this Program
Guest Lectures by IIT professors
Learn directly from top IIT faculty through hands-on, real-time sessions
Ethan’s Tech Career Track
Flexible timelines to complete your course and projects at your own pace
IIT Approved Mentors
Get personalized guidance and career insights from experienced professionals
Advance Curriculum
Master concepts from basic to expert level through structured, applied learning
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31st Dec
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Join 1% Elite Cohort
Why Choose Ethan’s Tech?
OTHERS
- Breadth and Depth of Curriculum
- Beginner-Friendly Bootcamp
- GenAI Integration
- Specialised Paths
- Projects Experience
- Alumni & Outcomes
- Hands-On Learning Model
- Mentorship & Faculty Access
- Comprehensive
- Structured Start
- Fully Applied
- Multiple Tracks
- Real-World & Personalized
- Large Network
- Applied & Practical
- Expert-Led
- Limited
- No On-Ramp
- Light Touch
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What our Students Say
Ethan’s Tech played a key role in shaping my Python development skills. The course focused on core concepts with real-world applications. Trainers explained topics clearly and provided support. This training helped me gain confidence and secure my role as Python Developer at Automata Pvt. Ltd.
Amit Junankar
Python Developer | Automata Pvt. Ltd.
My journey with Ethan’s Tech was highly rewarding. The AWS Certification strengthened my cloud fundamentals and offered hands-on practice. Trainers explained concepts clearly and practically. With guidance and support, I gained confidence and secured my role as AWS Cloud Engineer at DocBoyz.
Pritesh Patil
AWS Cloud Engineer | DocBoyz
My experience at Ethan’s Tech was extremely valuable. The DevOps training focused on hands-on labs, real-time tools, and industry best practices. Trainers guided me clearly throughout the program. This practical learning helped me successfully start my career as a DevOps Engineer at Krista Soft Pvt. Ltd.
Sagar Kedar
DevOps Engineer | Krista Soft Pvt. Ltd.
Learning at Ethan’s Tech was very helpful. The Data Science & Analytics certification developed strong fundamentals with practical skills. Trainers ensured conceptual clarity and continuous support. This training helped me gain confidence and secure my role as Software Engineer at SAV.COM.
Vaishnavi Sangle
Software Engineer | SAV.COM
Ethan’s Tech helped me build a solid foundation in Python and AI. The Data Science certification focused on structured learning and hands-on practice. Trainers simplified complex topics and offered guidance. This training gave me confidence to secure my role as Python AI Engineer.
Sarthak Arsul
Python AI Engineer | Novacred DocBoyz
My transition into Data Science became smooth with Ethan’s Tech. The Advanced Certification emphasized practical learning, real datasets, and industry-relevant tools. Trainers provided constant support and clear guidance. This training helped me gain confidence and secure my role.
Krishh Pinjani
Data Scientist | Prime Numerics
Ethan’s Tech strengthened my Data Science skills. The Advanced Certification focused on hands-on projects, real-world scenarios, and analytical thinking. Trainers offered continuous guidance. This experience helped me gain confidence and start my career as Data Scientist at Prime Numerics.
Vansh Shrivastav
Data Scientist | Prime Numerics
My experience at Ethan’s Tech was extremely helpful. The Advanced Certification in Data Science & Analytics offered practical exposure to AI concepts. Trainers explained topics clearly and encouraged hands-on learning. This training helped me secure my role as AI Engineer at Konverge AI.
Mugdha Daware
AI Engineer | Konverge AI
Ethan’s Tech offered a structured and practical learning environment. The Advanced Certification in Data Science & Analytics provided real-world project experience and conceptual clarity. Trainers were supportive and focused on industry applications. This training helped me secure my role.
Srushty Jagtap
Software Engineer | SAV.COM
My training at Ethan’s Tech was highly beneficial. The DevOps & AWS modular course focused on hands-on labs and real-time use cases. Trainers ensured clear understanding and practical exposure to industry tools. This learning experience helped me secure my role as an AWS Intern at Kefaro Company.
Suraj Mukhede
AWS Intern | Kefaro Company
Ethan’s Tech provided a platform to build DevOps expertise. The Advanced Certification focused on practical tools, real-world scenarios, and continuous learning. Trainers offered clear guidance and mentorship. This training helped me secure my position as DevOps Engineer at Minutus Computing.
Krishna Walzade
DevOps Engineer | Minutus Computing
My experience at Ethan’s Tech was highly rewarding. The AWS and DevOps modular training offered in-depth concepts with hands-on practice. Trainers strongly emphasized real-world applications. This training helped me successfully secure my role as AWS Cloud Engineer at Minutus Computing.
Amar Gangurde
Cloud Engineer | Minutus Computing
Ethan’s Office Tour
Ethans Tech is a leading professional training institute founded with the mission to bridge the gap between academic learning and real-world skills. With a strong presence in Pune and expanding across India, Ethans Tech has trained thousands of students and working professionals, helping them upgrade their careers in the most in-demand technologies.
The name “Ethans” represents a commitment to “education with excellence”. It’s not just a name; it’s a culture — built by passionate industry experts who believe in practical, hands-on learning rather than rote education. Every trainer at Ethan’s is a seasoned professional with real industry exposure, making the learning experience highly relevant, practical, and impactful.
At Ethans, it’s not just about completing a course — it’s about building a career.
Ethans Tech is a premier professional training institute dedicated to bridging the gap between academic education and real-world industry skills. Headquartered in Pune and expanding across India, Ethans Tech has empowered thousands of students and working professionals to advance their careers in today’s most in-demand technologies. With experienced industry trainers and a strong focus on practical, hands-on learning, the institute ensures highly relevant and career-oriented training that prepares learners to succeed in the professional world.
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Learners Profile
Our diverse and dynamic batch brings together individuals from various academic and professional backgrounds, creating a rich learning environment driven by collaboration and growth.
- 11% – College Graduates (Non-technical backgrounds)
- 23% – B.Tech & M.Tech Graduates (CS, IT, ME, CIVIL)
- 27% – BCA, B.Sc (IT/CS/Maths/Stats) Graduates
- 23% – Early Career Professionals (1–6 years of experience)
- 16% – Career Comeback Learners (with a gap in education or employment)
This blend of learners adds immense value to the learning experience — offering unique perspectives, fresh ideas, and real-world context to every session
Learner Profiles & Trusted Companies
Advanced Certification in Data Science & Analytics FAQs
Everything you need to know about the program.
What are the prerequisites for Advance Certification in Data Science & Analytics Training in Pune?
Although we take care of all the prerequisites for starting to learn Data Science, it is helpful to have a basic understanding of mathematics, statistics, data handling, programming concepts, databases, and analytical thinking.
Who should go for Advance Certification in Data Science & Analytics Pune?
What if I have queries after I complete this course?
You will have access to the technical discussion forum lifetime, which will help you in resolving most of your doubts and queries. Eventually, you can connect with your respective faculty directly, else reach out to the nearest Ethans help desk for further assistance.
Who are the instructors?
Our faculties are all extensively experienced IT Industry experts and real time corporate trainers from renowned MNC’s with marvelous knowledge in the subject matter. In addition to their standard duties of imparting knowledge, faculties also undertake consulting assignments for leading Indian and Multinational Companies that gives practical exposure based on real time scenarios from their world of experience. Ethanians that upskill are able to vividly recall classes even after years. Such is the impact of our remarkable trainers on the students.
Will Ethans be providing any study materials?
Yes, Ofcourse. You will be provided with both, hard copies of the study material upon enrollment and soft copies will be shared by the respective faculties over the cloud during the program.
What types of courses are available at Ethans?
Ethans is a Market leader in Cloud, Automation and Analytics (such as Python, Data Science – Machine Learning, Artificial Intelligence, AWS, Azure, GCP, DevOps, Hadoop, Selenium, Robotics Process Automation, etc.) helps working professionals and freshers in enhancing skills in multiple technologies as per the market demand.
Does Ethans provide Job Assistance?
Yes. Ethans being one of the top notch institutes, has a wide network in the market. We do have collaboration with multiple companies that helped 3000+ freshers to get place and working professionals to switch their domains in top companies across India. On course completion, one becomes eligible for the placement assistance.
Does Ethans provide weekend classes for professionals?
There are multiple institutes which are providing software training courses, but only Ethans offers professional training on various demanding technologies with flexible timings over the weekdays as well as on weekends depending on the requirements of working professionals.
What are the profiles and experiences of trainers at Ethans?
We have a big pool with a strong and renowned team of professionals having extensive expertise in the technology they deliver. Our trainers are quite supportive and render an amicable learning environment which invigorates the student’s growth in an optimistic way. They are all with huge industry and teaching experiences. Some of them hold more than two decades of experience of the same industry.
Do I need to pay the complete fee lump sum or I can have an installment facility too?
We are open for both, lump sum and installments. Best to pay it in one go, but we avail maximum two installments. First installment is to be cleared on the very first day of the class and the second one, within 21 days from the batch commencement date.
The fee which I will pay is refundable or transferable?
No. Fees once paid is non-refundable and non-transferable at any case, as we assure best training quality at Ethans Tech. We do not let go of any of our valuable students and ensure to deliver the quality that meets one’s requirements and is worth it. Each one of you is important to us.
What are the facilities and infrastructure at Ethans?
Ethans has a presence at four locations in Pune: Wakad, Hinjewadi, Kharadi, and Baner. However, the advanced certification program in Data Science and AI is available exclusively at our Wakad location. We look forward to gradually expanding across India with your support. Ethans is equipped with state-of-the-art infrastructure that fosters a pleasant, academically rigorous, and stimulating environment for both students and faculty.
Does Ethans provide Online Training?
Yes. Ethans renders Online training too. It’s a virtual and absolutely interactive training by the identical faculties that educate at our different branches with the help of a specific software which is best to intercommunicate online. You will be obtaining uniformly the same study material and assessment in online training as in the classroom. Educating yourself from Ethans Tech either by classroom or online means is the same, as the instructors don’t change. Now, it depends on the students, which mode to prefer based on their comfort levels.
Does Ethans provide facility to repeat the batch?
Upon enrollment at Ethans Tech, you receive a flexi pass that allows for a one-year re-joining option at the same branch and with the same trainer for an administrative charge of ₹5,000. Additionally, we provide online recorded sessions as backups. If you wish to change branches or courses, it is possible with nominal charges, subject to the institute’s norms and regulations.
Does Ethans provide Institutional Certification after the course?
Yes. Certificate is issued to the respective student, after the course completion and assessment which is valid in multiple companies and apparently, it becomes an edge in your curriculum vitae in order to showcase your skill set.
Does Ethan's conduct training at Corporates?
Yes, we are frequently engaged in corporate training being the market leader with a big pool of corporate trainers having a wide network with collaboration with several top MNC’S that ultimately becomes an add-on for placing our students with such references.
What is the admission procedure at Ethans?
Basically, there are two ways of registering with Ethans Tech, Online and Offline. In terms of Online, you just need to visit the enrollment tab on your website – www.ethans.co.in which will redirect you to the enrollment form, wherein you need to fill all your essential details and proceed further by paying Rs. 5000/- as the registration fees (inclusive of your standard course fees) For Offline admission, you can can contact and visit any of your nearest Ethans branch and carry out the further formalities under the guidance of the team at Ethans Desk.
How do I find the best Data Science & Analytics near me?
Look for programs that offer a strong balance of fundamental concepts and hands-on data analysis practice, are led by experienced instructors, and provide recognized certification. Reviews and learner feedback can also help you choose the right course.
Why is Data Science & Analytics a Good Career Choice?
Data Science and Data Analytics are rapidly growing fields with increasing demand for skilled professionals across industries. They offer diverse career roles, strong job security, and competitive salaries, making them highly rewarding career paths.
Who is Eligible to Join the Data Science & Analytics Course?
The Data Science & Data Analytics course is open to anyone interested in learning how to work with data and generate meaningful insights. It is ideal for:
Beginners: Individuals with no prior background in data science or analytics but looking to start a career in the data field.
IT Professionals: Those seeking to upskill or transition into data-focused roles such as data analysts, data scientists, or business intelligence professionals.
Students: Engineering, computer science, or commerce students aiming to specialize in Data Science and Analytics and build strong career opportunities.
Business Professionals: Managers and decision-makers who want to understand data-driven strategies to support smarter business decisions in their organizations.
Whether you are starting fresh or enhancing your current technical skills, this course is designed to support learners at different experience levels.