High-Demand Career
Data Analytics is one of the fastest growing and highest-paying tech careers.
Business-Focused Skills
Learn how to convert raw data into insights that drive decisions.
Industry Tools
Excel, SQL, Python, Power BI and real-world datasets.
⭐ Core Roadmap
Step-by-step journey from data basics to advanced analytics & dashboards.
1. Data Analytics Fundamentals
What is data analytics, roles, lifecycle, types of analytics and career paths.
2. Excel for Data Analysis
Formulas, functions, Pivot Tables, charts, dashboards and data cleaning.
3. SQL for Data Analysis
SELECT, WHERE, JOINs, GROUP BY, subqueries, window functions.
4. Statistics for Analytics
Mean, median, probability, distributions, correlation and hypothesis testing.
5. Python for Data Analysis
NumPy, Pandas, data cleaning, EDA and basic visualizations.
6. Data Visualization
Charts, storytelling with data, dashboards and KPIs.
7. Power BI
Data modeling, DAX basics, interactive dashboards and reports.
8. Real-World Case Studies
Sales, marketing, finance and operations analytics projects.