Loved by learners at thousands of companies
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.
In 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.Welcome to the wonderful world of Excel!50 xpWhat can Excel do?50 xpData analysis steps100 xpSetting up your environment50 xpNavigating the worksheet50 xpExploring data in Excel50 xpLooking for exact matches50 xpTrimming your data50 xpSorting the table50 xpNesting functions50 xpUnderstanding data types in Excel50 xpClassifying data types100 xpChanging to text50 xpRounding values50 xp
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.Cleaning text data50 xpJoining text strings50 xpCapitalizing words50 xpUsing upper and lower case50 xpExtracting text from cells50 xpCounting characters50 xpExtracting text50 xpReplacing characters50 xpPreparing date data50 xpUsing the system date50 xpWorking with dates50 xpFinding the day of the week50 xpFiguring out the month50 xpThe most important function in Excel50 xpFinding the matching column50 xpWorking with range_lookup50 xpUsing VLOOKUP50 xp
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.But who's COUNTing?50 xpChoosing the right count function100 xpLearning to count50 xpCounting blank cells50 xpExcel the great calculator50 xpMath functions in Excel50 xpFinding the minimum50 xpAggregating data50 xpLogic functions50 xpThe arguments of the IF() function100 xpPerforming a logical test50 xpTaking IF() to the next level50 xpConditional aggregations50 xpFinding unique values50 xpCounting projects50 xpDetermining the average50 xpWrap-up50 xp
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!
What do other learners have to say?
“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyds Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Decision Science Analytics, USAA