“Dataquest is exactly what I needed to bridge the gap between my former and current career. I knew some statistics but Dataquest quickly got me up to speed on techniques I needed to succeed.”

Patrick Kennedy

Associate Consultant @Conversant

Course overview

This course is part of the “Introduction to Data Analysis with Excel” skill path, which we designed for anyone who wants to gain the practical skills in Excel to perform data analysis and visualization, and ultimately help organizations make better informed decisions. We designed it for aspiring data professionals with little experience and learners who use basic Excel in their daily jobs and want to enhance their skills.

Preparing data involves cleaning and organizing. In this course you’ll not only learn how to prepare data with Excel by organizing data into a spreadsheet using worksheets and tables but also how to clean data by removing duplicates and irrelevant data. You’ll also learn how to consolidate the data to prepare it for analysis.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.

Key skills

  • Importing data into an Excel spreadsheet from more than one data source
  • Organizing data into a spreadsheet using worksheets and tables
  • Cleaning, manipulating, and modifying the data
  • Consolidating the data for analysis

Course outline

Preparing Data in Excel [6 lessons]

Importing Data into Excel Spreadsheets 1h

Lesson Objectives
  • Define delimiters and use them to import data
  • Import Excel files, text files, and CSV files
  • Use copy & paste and drag & drop to load files

Organizing Data 1h

Lesson Objectives
  • Organize data with cells and ranges
  • Organize data into tables, worksheets, and workbooks
  • Apply Excel functions and formulas for organizing data

Cleaning Data - Part I 2h

Lesson Objectives
  • Find and remove duplicate data
  • Find and remove extra spaces
  • Separate data without delimiters
  • Correct inaccurate or irrelevant data
  • Update missing or incomplete data

Cleaning Data Part II 1h

Lesson Objectives
  • Standardize the case for text
  • Standardize formats for dates
  • Standardize formats for numbers
  • Work with outliers
  • Verify clean data with visualizations

Consolidating Data 2h

Lesson Objectives
  • Manipulate headers
  • Work with the Consolidate tool
  • Merge data using copy and paste

Guided Project: Preparing Data with Excel 1h

Lesson Objectives
  • Import data into a spreadsheet from more than one data source
  • Organize data into a spreadsheet using worksheets and tables
  • Clean data by removing duplicates and irrelevant data
  • Work with missing data and inconsistent data types
  • Consolidate the data for analysis

Projects in this course

Guided Project: Preparing Data with Excel

For this project, you’ll take on the role of a data professional in a marine biology research organization. You’ll use Excel to import, organize and clean a dataset on shark attacks, preparing it for an analysis team to study trends in attack location and frequency over time.

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

Grow your career with

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Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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