Google Data Analytics Professional Certificate Review and Summary

Today I finished the Google Data Analytics Professional Certificate

offered by Google and Coursera and would like to offer my review and course notes.

Download The course Notes by visiting this link

There are eight courses you have to finish before earning the final certificate:

• Foundations: Data, Data, Everywhere
• Ask Questions to Make Data-Driven Decisions
• Prepare Data for Exploration
• Process Data from Dirty to Clean
• Analyze Data to Answer Questions
• Share Data Through the Art of Visualization
• Data Analysis with R Programming
• Google Data Analytics Capstone: Complete a Case Study

Skills you will earn

• Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
• Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
• Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
• Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

Most importantly is The Six steps in the data analysis process

• Ask questions and define the problem.
• Prepare data by collecting and storing the information.
• Process data by cleaning and checking the information.
• Analyze data to find patterns, relationships, and trends.
• Share data with your audience.
• Act on the data and use the analysis results

The final certificate

Motasem Hamdan — Google Data Analytics

If also added my notes and summary for each course including code snippets, concepts and other stuff that you may need to pass the course, summarize what you have learnt and keep the notes as they may come in handy when you need them