Data Analysis

Data Analysis

Learn the essential skills to make data-driven decisions.

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


Buy Now

who takes this

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


  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