Our Data Science program is designed as per current industry requirements, ensuring you learn the most in-demand skills used by real-world data professionals.
You don’t just learn theory — you work on live projects, real datasets, and business case studies to gain job-ready experience.
Learn directly from experienced professionals who bring real corporate knowledge into the class.
This program is built to make you job-ready,
The Data Science Mastery Program is designed to help learners build strong, industry-ready skills in data analysis, programming, and machine learning. This course blends theory with practical, hands-on projects using real-world datasets so you can confidently apply data-driven techniques in business, technology, finance, and other domains. Whether you are a beginner or transitioning from a different field, this program guides you step-by-step from basic concepts to advanced data science techniques used by top companies worldwide.
Advanced formulas: VLOOKUP, XLOOKUP, INDEX-MATCH
Data cleaning & transformation techniques
PivotTables, PivotCharts & slicers
Conditional formatting for data visualization
Data validation & structured referencing
Advanced charting and dashboards
Excel functions for analytics (TEXT, DATE, LOGICAL, IFs, SUMIFS, COUNTIFS, etc.)
Working with Power Query
Automating tasks with Macros (basic)
Practical business case studies
Introduction to relational databases
Writing SQL queries from basic to advanced
Filtering, sorting, grouping & aggregations
Joins (Inner, Left, Right, Full)
Subqueries & CTEs
Views, stored procedures & functions
Data manipulation (INSERT, UPDATE, DELETE)
Database design & normalization
Real-world SQL problem-solving exercises
Getting started with Power BI interface
Importing, cleaning & transforming data
Data modeling using relationships
DAX functions (basic to intermediate)
Building interactive dashboards & reports
Introducing Power Query tools
Publishing reports to Power BI Service
Sharing dashboards & real-time collaboration
Real business reporting use cases
Understanding Tableau workspace
Connecting to data sources
Dimensions, measures & data types
Building charts: bar, line, pie, maps, scatter, heat maps, etc.
Dashboard & story creation
Filters, actions & parameters
Data blending vs data joins
Publishing dashboards to Tableau Public/Server
Industry-based dashboard projects
Python basics & programming concepts
Working with variables, loops, functions & libraries
NumPy for numerical computing
Pandas for data wrangling & analysis
Matplotlib & Seaborn for data visualization
Exploratory data analysis (EDA) techniques
Reading/writing CSV, Excel & JSON files
Handling missing, inconsistent & unstructured data
Mini projects & practice problems
Introduction to machine learning & types
Supervised learning: Regression & Classification
Unsupervised learning: Clustering & Dimensionality Reduction
Train-test split, cross-validation & model evaluation
Feature engineering & data preprocessing
Confusion matrix, accuracy, precision, recall, F1-score
Hands-on ML projects (real datasets)
Building & evaluating models using scikit-learn
Preparing ML model reports
















According to U.S. Bureau of Labor Statistics (BLS), employment of “data scientists” is projected to grow 34% from 2024 to 2034 — much faster than average across all jobs.
On the market side: a global report by Fortune Business Insights estimates the “data science platform market” to grow from USD 133.12 billion in 2024 to about USD 776.86 billion by 2032 (CAGR ~ 24.7%)
New job opportunities expected in Data Science & Analytics worldwide
Consistent year-on-year job growth projected for the next decade
Average annual salary range for skilled data science professionals in India






This course is suitable for students, fresh graduates, working professionals, and career switchers. No prior experience in data science is required.
No, a programming background is not mandatory. The course starts from the basics and gradually moves to advanced concepts.
You will learn Python, SQL, Machine Learning, Generative AI, Tableau, Advanced Excel, and other industry-relevant tools.
Yes, the curriculum is designed to be beginner-friendly while also covering advanced topics for professionals.
Yes, the course includes hands-on training and real-world projects to help you gain practical, job-ready experience.
Yes, you will receive a course completion certificate. Eligible learners may also earn IBM certifications.
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