Alex Mirugwe has completed

# Analysis in Excel

4 hours
2,600 XP

## Build Strong Excel Skills

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.

## Practice Using Excel with Real-World Data

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.

## Learn How to Use VLOOKUP

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.

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1. 1

### Exploring Data

Free

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.

Play Chapter Now
Welcome to the wonderful world of Excel!
50 xp
What can Excel do?
50 xp
Data analysis steps
100 xp
50 xp
Navigating the worksheet
50 xp
Exploring data in Excel
50 xp
Looking for exact matches
50 xp
50 xp
Sorting the table
50 xp
Nesting functions
50 xp
Understanding data types in Excel
50 xp
Classifying data types
100 xp
Changing to text
50 xp
Rounding values
50 xp
2. 2

### 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.

3. 3

### 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.

### GroupTraining 2 or more people?

Datasets

Solution WorkbookRaw Data

Collaborators

Jen Bricker