Microsoft Excel Data Analysis: Pivot Tables and Formulas Course
Learn Data Analysis, Formulas, and Pivot Tables. Data Analysis in Microsoft Excel for Beginners and Intermediate users
What you’ll learn
Microsoft Excel Data Analysis: Pivot Tables and Formulas Course
- How to create Pivot Tables to quickly summarize data
- How to use VLOOKUP and INDEX/MATCH to pull out specific info from large data sets
- Learn how to use basic math/statistical functions like SUM, AVERAGE, COUNTIFS, and more…
- How to build conditional statements using the IF() function
- How to organize data to be scalable and easily used other data analysts
- Learn how to move around Excel quickly and efficiently
- How to sort and filter data based on specific criteria
- How to streamline your data analysis workflow in Excel
Requirements
- Microsoft Excel for PC (2013 or later recommended. Some features may not be available in earlier versions)
- Some prior knowledge of Excel will be helpful.
Description
This course will teach you to go from level up from beginner to intermediate in Excel in around 2 hours. You’ll learn a wide variety of important Excel features, including Pivot Tables, sorting and filtering, keyboard shortcuts, as well as intermediate functions like VLOOKUP, INDEX & MATCH, IF statements, and many more (2016 PC Version used in course).
Sample data sets provided for you to follow along and learn as you watch!
Who this course is for:
- Job seekers who want to add “Microsoft Excel” as a skill on their resume or Linkedin Profile
- Aspiring Data Analysts, Managers, or employees that anticipate using MORE data in the future
- Anyone already in a job/career that involves data who wants to level up their skills in Excel
- Who wants to learn how to cut hours off of their weekly reporting tasks
- Anyone who wants to learn how to learn excel for budgeting, side projects, or as an additional skill
- Last updated 3/2020
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Content From: https://www.udemy.com/course/microsoft-excel-for-data-analysis/
SEE MORE COURSE: Microsoft Excel: from Beginner to Advanced (Full course)
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