Google Data Analytics Professional Course - Practice

  • Languages Used: R Programming, SQL, Tableau, Excel (Google Sheets)
  • Github Repository: Project Link

This is a repository of my Google Data Analytics Professional Certificate course and the practice work I have worked on. If you feel interested in the realm of data analytics, or if you are simply curious on what this course entails, please have a look!

The following is taken from the Course Overview Page

What I learned:

  • 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 platform.

    • Skills I gained:

  • Data Analysis
  • Creating case studies
  • Data Visualization
  • Data Cleansing
  • Developing a portfolio
  • Data Collection
  • Spreadsheet
  • Metadata
  • SQL
  • Data Ethics
  • Data Aggregation
  • Data Calculations
  • R Markdown
  • R Programming
  • Rstudio
  • Tableau Software
  • Presentation
  • Data Integrity
  • Sample Size Determination
  • Decision-Making
  • Problem Solving
  • Questioning