About this Course

The Data Analytics Master Course is designed to turn you into a data-driven professional who can collect, analyze, and visualize data to make better business decisions.
You’ll learn everything from Excel and SQL to Python, Power BI, and real-world data projects.

This course is perfect for beginners, students, and working professionals who want to build a career in analytics, business intelligence, or data-based decision-making.

Course Highlights

• Learn Excel, SQL, Python, Power BI, and Tableau from scratch

• Work on real-time datasets and case studies

• Learn data cleaning, visualization, and reporting techniques

• Understand how to convert raw data into actionable business insights

• Hands-on projects with practical assignments

• Get a certificate of completion and career guidance support

1. Introduction to Data Analytics

Understand what data analytics is, how it works, and why it’s essential in today’s world.
Learn about different types of analytics — descriptive, diagnostic, predictive, and prescriptive.

2. Data Handling with Excel

Master Microsoft Excel for data entry, cleaning, sorting, filtering, pivot tables, and dashboards.
Learn formulas and functions commonly used in data analysis.

3. SQL for Data Management

Learn how to fetch, filter, and manage data using SQL queries.
Work with real databases and understand joins, subqueries, and data manipulation commands.

4. Data Analysis with Python

Get hands-on with Python for analyzing datasets using libraries like Pandas, NumPy, and Matplotlib.
Learn how to automate repetitive tasks and extract valuable insights.

5. Data Visualization with Power BI & Tableau

Learn to create powerful dashboards and reports using Power BI and Tableau.
Visualize trends, KPIs, and performance metrics that help in decision-making.

6. Statistics & Data Interpretation

Understand the basics of statistics — mean, median, mode, correlation, and regression.
Learn to interpret data accurately and draw meaningful conclusions.

7. Business Analytics & Reporting

Learn how to communicate insights to clients or stakeholders using storytelling and dashboards.
Get exposure to real business problems and solve them using analytics.

8. Career Preparation & Projects

Work on multiple capstone projects to apply your learning.
Get tips for building your data portfolio, cracking interviews, and freelancing as a data analyst.