Data Analytics
Excel. SQL. Python. Power BI. All of it.
The complete analyst toolkit in one structured program. Advanced Excel first, then SQL, Python, Power BI and statistics — all taught with real business datasets so you are job-ready from day one.
Duration
4 months
Format
Live, Instructor-led
Level
All levels
Language
English / Hindi
What you will achieve
✓Master Excel Power Query, XLOOKUP and automation basics
✓Write complex SQL queries to extract and join data
✓Analyse datasets with Python Pandas and NumPy
✓Build production Power BI dashboards
✓Apply descriptive and inferential statistics correctly
✓Build a portfolio of 3 real projects from your own data
Who this is for
Professionals looking to switch into analytics roles
Excel users who want to expand into SQL and Python
Engineers or graduates entering data-focused careers
Anyone who has tried to learn analytics online but needs structured guidance
Working professionals who need a practical, job-ready skillset
Curriculum
Module 1 — Advanced Excel
XLOOKUP, FILTER and dynamic arrays
Power Query for data consolidation
Pivot tables and calculated fields
VBA basics for automation
Data cleaning and preparation
Excel as an analytics foundation
Module 2 — SQL
SELECT, WHERE, GROUP BY
Joins: INNER, LEFT, FULL
Subqueries and CTEs
Window functions
Aggregation and filtering
Real business query practice
Module 3 — Python for Analytics
Python basics and data types
Pandas: read, clean, filter
NumPy for numerical work
Matplotlib and seaborn charts
Joining and reshaping DataFrames
Automating repetitive tasks
Module 4 — Statistics
Descriptive statistics
Distributions and central tendency
Hypothesis testing basics
Correlation and regression
A/B testing concepts
Interpreting results correctly
Module 5 — Power BI and Capstone
Power BI fundamentals
DAX basics
End-to-end dashboard build
Capstone project: full analysis
Presentation to stakeholders
Portfolio documentation