Loved by learners at thousands of companies
Excel is the world’s most popular data analysis tool. Companies and institutions worldwide use it to transform mountains of raw data into clear insights. Strong Excel skills can open new career paths, make you more employable in various industries, and save hours in your daily tasks.
In this course, you’ll develop employable data analyst skills, starting with the Excel basics, what it can do, and the data analysis steps you should follow.
The chapters begin by exploring data; navigate your worksheet and trim and classify your data types. You’ll even work with real-world Kickstarter data to use your new-found Excel skills to analyze what makes a successful project.
Later chapters in this course will teach you how to prepare your data by extracting text, preparing date data, and which Excel formulas can help. You’ll learn to use ‘the most important function in Excel’, VLOOKUP, to combine data from different sources before testing your understanding in hands-on exercises.
These Excel skills, functions, and time-saving shortcuts can be applied to any industry, whether you’re looking to move to a career in data analysis, or looking to improve your skills in marketing, finance, HR, logistics, and more.
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 Career Services, DataCamp
Jen leads the Career Services team mentoring learners during their job search. Previously, she led the Instructor Success team hiring hundreds of data scientists, working with them to build DataCamp content. Prior to DataCamp, 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!