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This repository contains important takeaways from the google data analytics professional certificate at Coursera

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Important Takeaways from Data Analytics course at Google

This repository contains important takeaways from the Google data analytics professional certificate at coursera. The content in the course are summarized in PDF formate. This does not contains any answers for the quiz.

My study notes (Since 22nd September 2021)

  • Introducing data analytics
  • Foundations: Data, Data, Everywhere
  • The wonderful world of data
  • Set up your toolbox
  • Endless career possibilities

  • Asking effective questions
  • Making data-driven decisions
  • Learning spreadsheet basics
  • Always remember the stakeholder

  • Data types and data structures
  • Bias, credibility, privacy, ethics, and access
  • Databases: Where data lives
  • Organizing and protecting your data
  • Optional: Engaging in the data community

  • The importance of integrity
  • Sparkling-clean data
  • Cleaning data with SQL
  • Verify and report on your cleaning results
  • Optional: Adding data to your resume

  • Organizing data to begin analysis
  • Formatting and adjusting data
  • Aggregating data for analysis
  • Performing data calculations

  • Visualizing data
  • Creating data visualizations with Tableau
  • Crafting data stories
  • Developing presentations and slideshows

  • Programming and data analytics
  • Programming using RStudio
  • Working with data in R
  • More about visualizations, aesthetics, and annotations
  • Documentation and reports

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This repository contains important takeaways from the google data analytics professional certificate at Coursera

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