Beginner Friendly 5 Months Duration Non-IT Students Preferred

Turn Data Into
Business Insights

Become a Data Analyst. Master Advanced Excel, SQL, Power BI, and Python to solve real-world business problems. No coding background required.

5+ Dashboards

100% Practical

ISO Certified

NEXT BATCH: OPENING SOON

Data Analytics

Complete Business Intelligence Suite

Corporate Training
Resume & LinkedIn
Mock Interviews

What You Will Master

Advanced Excel

Lookups, Pivot Tables, Macros, and creating dynamic reporting sheets.

SQL Database

Write complex queries to extract, filter, and aggregate data from servers.

Power BI & Tableau

Create interactive dashboards and visual stories for stakeholders.

Python for Analytics

Automate data cleaning and perform statistical analysis using Pandas.

Tools & Technologies

Excel

MySQL

PowerBI

Tableau

Python

Pandas

Jupyter

Statistics

Detailed Curriculum

Module 1: Advanced Excel & Statistics

Data Cleaning and Formatting
Advanced Formulas (VLOOKUP, XLOOKUP, INDEX-MATCH)
Pivot Tables & Pivot Charts
Data Validation & Conditional Formatting
Basic Statistical Concepts (Mean, Median, Standard Deviation)
Project: Sales Report Generation

Module 2: SQL for Data Analysis

Relational Database Management Systems (RDBMS)
Writing SELECT Queries (Filtering, Sorting)
Joins (Inner, Left, Right, Full)
Aggregation & Grouping (GROUP BY, HAVING)
Subqueries & Common Table Expressions (CTEs)
Project: Customer Churn Analysis using SQL

Module 3: Python for Data Analytics

Python Syntax Basics (Variables, Loops)
NumPy for Numerical Computations
Pandas DataFrames (The core of Analytics)
Handling Missing Data & Duplicates
Matplotlib & Seaborn for Plotting
Project: Exploratory Data Analysis (EDA) on Netflix Dataset

Module 4: Business Intelligence (Power BI)

Connecting to Data Sources
Power Query Editor (ETL Process)
DAX Formulas (Data Analysis Expressions)
Creating Visuals (Maps, Cards, Slicers)
Publishing & Sharing Dashboards
Capstone Project: Interactive E-commerce Dashboard