Data Analysis in Excel
Learn how to analyze data in Excel.
- 4 hours
- 12 Videos
- 47 Exercises
- 24,087 Participants
- 2,550 XP
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Course Description
There’s a lot more to Microsoft Excel than SUM and COUNT. Companies and institutions around the world use Excel’s powerful functions to efficiently transform mountains of raw data into clear insights, and now you can too.
In this course, you’ll develop employable analyst skills as you learn how to use time-saving keyboard shortcuts, convert and clean data types including text, times and dates, and build impressive logic functions and conditional aggregations. Through hands-on practice, you’ll learn over 35 new Excel functions, including CONCATENATE, VLOOKUP, and AVERAGEIF(S), and work with real-world Kickstarter data as you use your new-found Excel skills to analyze what makes a successful project.
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1
Exploring Data
FreeIn the first chapter, you’ll learn about the data analysis process, a framework that will help you transform raw data into information that is useful for decision-making. You will use Excel to start exploring the Kickstarter dataset.
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Analyzing Data
For the final chapter, you’ll get down to business and use an assortment of functions to analyze the Kickstarter data and better understand what features successful projects have in common.
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Preparing Data
In this chapter, you’ll move on to data cleaning and learn about a variety of functions that help you prepare text and date fields. Additionally, you’ll use VLOOKUP, one of Excel’s most essential functions, to add data into your dataset from another table.
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1
Exploring Data
FreeIn the first chapter, you’ll learn about the data analysis process, a framework that will help you transform raw data into information that is useful for decision-making. You will use Excel to start exploring the Kickstarter dataset.
-
Preparing Data
In this chapter, you’ll move on to data cleaning and learn about a variety of functions that help you prepare text and date fields. Additionally, you’ll use VLOOKUP, one of Excel’s most essential functions, to add data into your dataset from another table.
-
Analyzing Data
For the final chapter, you’ll get down to business and use an assortment of functions to analyze the Kickstarter data and better understand what features successful projects have in common.
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Jen Bricker
Head of Instructor Success, DataCamp
Jen is the Head of Instructor Success where she focuses on fostering long-term, productive relationships between DataCamp and the instructor community. Previously, she worked in non-profit management as well as data analytics adult education. Her career has always centered around her two main passions - people and data!
See MoreCollaborators
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Sara Billen