Data Analysis

Data Analysis

Learn the essential skills to make data-driven decisions.

With so much data generated every day, data analysis has become the critical skill across every role in the modern economy. Data fluency is fundamental to working with data or managing those who do.

This course provides a comprehensive foundation that equips students with the context, process, and tools to analyze data using tools including Excel and SQL. Students will build skills including data cleaning, wrangling, visualizing and communicating insights.

Click here to learn more

  • 10+ hours world class curriculum
  • Project-led experience
  • Certificate of completion
  • Assessment and personal score report
  • Access anywhere, anytime
who takes this

Who is This For?

This course offers the flexibility to learn anywhere, anytime on GA’s dynamic learning platform. It’s great for:

Leaders brushing up on analytical skills to actively manage their teams.

Individuals like analysts, marketers and product managers building quantitative skills.

Teams to bolster employee onboarding and ongoing learning and development programs.


Assess your knowledge with the Data Analytics Level 1 (DA1) assessment. The assessment will be available both before and after the program to guide learning and evaluate progress.

Participants receive a personal score report that details their performance and identifies opportunities for growth.

data analysis assessment
You’re in good company
We serve hundreds of employers — including more than 40 of the Fortune 100.
Liberty Mutual logo small
Adobe logo color small
NBC logo small
small Booz Allen Hamilton logo small
Nestle logo small
L'Oreal logo small
American Express logo small color 80119
Estee Lauder logo small
Visa logo small
IBM logo small
Northwestern Mutual logo small
Capital One logo small
ESPN logo small
GE General Electric logo small
JP Morgan logo small
Wells Fargo logo small
United Technologies logo small
AXA logo small


  1. Data Wrangling
    • Data analysis framework
    • Finding the right data 
    • Identifying and handling problematic data
    • Harnessing the power of functions
  2. Explore
    • Data profiling
    • Creating tables
    • Charting and visualizing data
    • Logical functions
  3. Interpret
    • Statistical thinking and design 
    • Interpreting data with PivotTables 
    • Measuring the relationship between variables.
  4. Communicate Insights
    • Telling a good story 
    • Designing effective visualizations 
    • Planning and building dashboards.
  5. Databases
    • Exploring data with queries
    • Refining searches
    • Modifying text query results
    • Null values
    • Aggregation
    • Joining tables