Ready to launch your data analytics career using easy-to-learn, in-demand tools?

This comprehensive course will take you from beginner to advanced using Excel, SQL, and Power BI—no coding experience required!

Start by mastering Microsoft Excel: you’ll learn essential skills like data cleaning, applying formulas, conditional formatting, creating charts, and working with pivot tables. Then, dive into SQL, where you’ll learn how to extract, filter, and manipulate data from relational databases—an essential skill for any data analyst. Once you’re comfortable with Excel and SQL, you’ll transition to Power BI, where you’ll discover how to import data, establish relationships, apply DAX (Data Analysis Expressions), and create interactive dashboards using visuals and slicers.

These tools and techniques are essential for analyzing and visualizing data effectively, helping you solve real-world business problems and make data-driven decisions with confidence.

This course is designed specifically for:

• Beginners and non-technical professionals

• Anyone looking to switch careers to data analytics

• Business professionals who work with data in Excel

• Students, job seekers, and freelancers looking to build a data portfolio

  
  

Tools You’ll Learn

• Microsoft Excel: Data cleaning, formulas, charts, pivot tables, conditional formatting, and data visualization

• SQL: Writing queries to retrieve, filter, sort, and analyze data from databases

• Power BI: DAX, data modeling, relationships, visuals, slicers, and dynamic report building

• Laptop: Minimum Specification (4gb RAM, 256gb ROM)

• Good Internet Connection

• Constant Electricity

Projects You’ll Build

• Sales Performance Analysis

• Project Management Analysis

• (Bonus: Hands-on SQL exercises with real-world datasets)

By the end of the course, you’ll have the confidence to analyze complex datasets, write efficient SQL queries, and create stunning dashboards that showcase your insights. You’ll also have a portfolio of projects to impress potential employers and kickstart your data analytics career.