Udemy
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Data Analysis with Excel and Power BI
Rating: 4.0 out of 5(1,010 ratings)
18,888 students

Data Analysis with Excel and Power BI

This course give you a good understanding of Data Analysis and Visualization using Microsoft Excel and Power BI.
Created byBiswarup Sahu
Last updated 9/2023
English
English [Auto],

What you'll 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.

Course content

5 sections • 9 lectures • 1h 32m total length

  • Introduction0:49

    Explore data analysis with Excel and Power BI through hands-on visualization, forecasting with Excel, and data transformation in Power BI using Kaggle dataset.

  • How to download dataset from Kaggle?4:59

    You can download the CSV file from the resource, but I would suggest you go to Kaggle and download it from there.

Requirements

  • You should have Microsoft Excel and Power BI installed.
  • No Power BI knowledge is required.
  • Basic Excel knowledge will help.
  • Be prepared to dedicate 2 hours of your life.

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.

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.

Who this course is for:

  • Beginners who wants to join Data Analyst roles.
  • Students who wants to start data analytics career.
  • Beginners who wants to learn Power BI

Report abuse