The Data Analytics with Excel & Power BI course is designed for beginners and professionals who want to develop practical data analytics skills using industry-standard tools. This online course equips learners with the ability to analyze, visualize, and interpret data efficiently, focusing on hands-on exercises with Microsoft Excel and Power BI.

Ideal for students, working professionals, or anyone looking to enter the field of data analytics, business intelligence, or reporting, this course emphasizes practical learning and real-world application.

What Students Will Learn

Participants will gain a strong foundation in data analytics through the following modules:

• Excel for Data Analytics:

  • Data cleaning, organization, and management

  • Using formulas, functions, and VLOOKUP for analysis

  • Pivot Tables and Pivot Charts for summarizing data

  • Creating interactive dashboards and reports

• Power BI for Visualization:

  • Connecting data sources and transforming data

  • Creating interactive visual dashboards

  • Understanding and applying visual storytelling principles

  • Basic analytics using Power BI features

• Data Analysis Fundamentals:

  • Data interpretation and decision-making

  • Graphical techniques and visualization best practices

  • Introduction to analytical packages and workflow efficiency

This course emphasizes hands-on projects to help learners immediately apply analytics techniques in real-world scenarios.

Teaching Method

Delivered online, the course offers live interactive sessions with practical exercises.

Key teaching features include:

• Step-by-step guidance on Excel and Power BI tools

• Practical exercises with real datasets

• Hands-on dashboard creation for reporting and visualization

• Continuous support and doubt resolution

• Focused training for improving efficiency in data analytics tasks

Why This Tutor

Karpagam R follows a practical, learner-focused teaching approach, ensuring students gain confidence in using Excel and Power BI. The course is structured to enable learners to analyze data efficiently and create meaningful visualizations, preparing them for professional roles or further study in analytics.

Location Context

Being an online course, students can join from any city or region, making it accessible and flexible for learners with different schedules.

Benefits / Outcomes

By the end of the course, learners will be able to:

• Clean, organize, and analyze data effectively using Excel

• Summarize and visualize data using Pivot Tables and Charts

• Build interactive dashboards with Power BI

• Apply analytics skills in real-world scenarios for decision-making

• Gain confidence to pursue advanced analytics, business intelligence, or reporting roles

This course provides a practical foundation for data analytics, focusing on tools widely used in professional settings.