Students, fresh graduates, working professionals, and career switchers

Data Analytics Program

From zero to job-ready in 6 months

A live online program covering Excel, MySQL, Tableau, Power BI, Python, and Business Statistics — from beginner to job-ready data analyst.

6 Months·Beginner to Advanced·Online (Live + Practical)·English
ExcelMySQLTableauPower BIPythonBusiness Statistics

Tools you'll use

XL
MY
T
BI
BU

Course overview

What this program will do for you.

This Data Analyst certification is a structured, instructor-led program designed for freshers and working professionals. You will master the complete data analytics toolkit — Excel, MySQL, Tableau, Power BI, Python, and Business Statistics — while working on assignments and real industrial datasets. By the end, you will have three capstone projects and the job-readiness training needed to step confidently into a data analyst role.

Final outcome

Become a job-ready data analyst with a portfolio of real-world projects and expertise in Excel, MySQL, Tableau, Power BI, Python, and Business Statistics.

Tools & Tech

Industry tools you will master.

Microsoft Excel

Spreadsheet

MySQL

Database

Tableau

Data Visualization

Power BI

Business Intelligence

Microsoft Fabric

Modern Analytics

Python

Programming

Pandas

Library

NumPy

Library

Matplotlib

Library

Seaborn

Library

Prerequisites

  • No prior coding or data experience required
  • Basic computer and internet literacy
  • Willingness to practice consistently between live sessions

What's included

  • Live training sessions with expert instruction
  • Downloadable resources and practice files
  • Hands-on assignments and real-world projects
  • Industry-standard tools and real datasets
  • Certificate of Completion
  • Lifetime access to learning materials

Learning outcomes

Skills you will acquire.

1

Clean, analyze and visualize data in Excel — from formulas to dashboards

2

Write complex SQL in MySQL — joins, window functions, and stored procedures

3

Build interactive dashboards in Tableau and Power BI

4

Use Python (Pandas, NumPy, Matplotlib, Seaborn) for data analysis

5

Apply business statistics and hypothesis testing to real datasets

6

Complete three capstone projects and prepare for data analyst interviews

Ready to accelerate your career?

Join our next batch and start building real-world projects with industry experts. Live sessions, real datasets, and a certificate you can show employers.