Course 1: Foundations: Data, Data, Everywhere

What I learned:

• Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
• Conduct an analytical thinking self-assessment with examples of analytical thinking in practice.
• Discuss the role of spreadsheets, query languages, and data visualization tools in analytics.
• Describe the role of a data analyst, with reference to relevant job functions.

Skills Gained:

• Analytical thinking & problem framing
• Spreadsheet fundamentals
• Introduction to data ecosystems
• Basic data visualization concepts

Course 2: Ask Questions to Make Data-Driven Decisions

test

Course 3: Prepare Data for Exploration

Course 4: Process Data from Dirty to Clean

Course 5: Analyze Data to Answer Questions

ONGOING as of May 18, 2025

Course 6: Share Data Through the Art of Visualization

ONGOING as of May 18, 2025

Course 7: Data Analysis with R Programming

ONGOING as of May 18, 2025

Course 8: Google Data Analytics Capstone: Complete a Case Study

ONGOING as of May 18, 2025

Course 1: Introduction to Front End Development