This course give you a good understanding of Data Analysis and Visualization using Microsoft Excel and Power BI.

What you will learn

Apply Advance Excel Functions.

Good understanding on functions like Forecast, Look Ups, Pivot Tables and Charts.

Connect Excel with Power BI to get automatic updates in Power BI.

Make interactive dashboard using Power BI.

Description

Namaste! Thank you for welcoming us to your course on Data Analysis with Excel and Power BI. It sounds like a valuable opportunity for those looking to pursue careers in data analysis, supply chain analysis, or business analysis. Analyzing data using these tools is a crucial skill in today’s data-driven world, and I’m sure your course will provide valuable insights and hands-on experience.

I hope you are excited to enroll in this course.

By the end of this course, you’ll be able to do:

1. Excel Data Manipulation: Learn to efficiently manage and analyze data using Excel, including functions such as LOOKUPS, and FORECAST for better understanding and data transformation.


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2. Power BI Reporting: Dive into Power BI to create interactive and insightful data visualizations and reports for better decision-making.

3. Real-world Projects: Apply your knowledge through hands-on project, gaining practical experience in data analysis.

4. Industry-Relevant Skills: Acquire skills that are in high demand for roles such as data analyst, supply chain analyst, and business analyst.

These core areas will prepare you for success in data-driven roles and empower you to make informed business decisions. Enroll today to start your journey toward becoming a proficient data analyst and rock the industry.

English
language

Content

Introduction

Introduction
How to download dataset from Kaggle?

Data Cleaning in Excel

Data cleaning in Microsoft Excel

Data Analysis in Microsoft Excel

Forecast data for future prediction
Create Charts to define forecasting
Use LOOKUP functions in Excel

Introduction to Power BI

Power BI walkthrough

Data transformation and visualization using Power BI

Part 1
Part 2