Google Data Analytics Program Content
At the time of completion, the Google Data Analytics Professional Certificate was split into 7 modules/courses and a capstone project.
I have broken down the 7 courses below:
- Course 1 - Foundations: Data, Data, Everywhere
- Course 2 - Ask Questions to Make Data-Driven Decisions
- Course 3 - Prepare Data for Exploration
- Course 4 - Process Data from Dirty to Clean
- Course 5 - Analyze Data to Answer Questions
- Course 6 - Share Data Through the Art of Visualization
- Course 7 - Data Analysis with R Programming
For the full, in-depth course content, please click on each of the courses, which will take you direct to the course website on Coursera.
The GDAPC gave me the foundations of being a data analyst. I particularly liked that this course not only taught me new skills, but also how to think like a data analyst.
Some of the skills I learnt were, but not limited to:
- Data Analysis Process
- Data Visualisation using Tableau
- SQL Programming in Google Big Query
- Stakeholder communication
- Data-driven Decision Making mindset
- Data Cleaning
- Introduction to R programming language
- Data Integrity & Ethics
In total, the GDAPC took me about 2 months of determined studying everyday to complete. I would highly recommend this course for anyone with an interest in data analytics or businesses looking to up-skill their employees in data analytics.