Welcome to my learning repository for the Google Data Analytics Professional Certificate. This repository is created to document and track my progress as I journey through the courses. Whether you're a fellow learner, a potential employer, or someone interested in data analytics, feel free to explore the content and contribute.
This repository serves several purposes:
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Record Learning Progress: Every section of each course is meticulously documented to track my learning journey. It helps me keep a clear record of what I've learned and achieved.
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Reference Material: All relevant content and resources, including notes, code snippets, and additional references, are compiled for easy access. This creates a valuable reference for future projects or for revisiting concepts.
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Self-Documentation: Keypoints and insights are captured based on my understanding. This self-documentation aids in reinforcing concepts, making it a valuable resource for personal review.
Professional Certificate - 8-course series
Course 1 • 24 hours • 4.8(96,078 ratings)
Course 2 • 19 hours • 4.7(29,470 ratings)
Course 3•24 hours•4.8(18,061 ratings)
Course 4•24 hours•4.8(13,744 ratings)
Course 5•29 hours•4.6(9,900 ratings)
Course 6•22 hours•4.6(7,983 ratings)
Course 7•36 hours•4.8(9,063 ratings)
Course 8•8 hours•4.8(13,180 ratings)
- 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
- 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
Contributions are highly encouraged! If you've gone through the same courses or have additional insights/resources to share, feel free to submit a pull request. Whether it's fixing a typo, adding a useful resource, or clarifying a concept, your contributions are valuable.
To contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature/new-feature
. - Make and commit your changes:
git commit -m 'Add a new feature'
. - Push to the branch:
git push origin feature/new-feature
. - Open a pull request.
I'd like to express my gratitude to the creators of the Google Data Analytics Professional Certificate and the supportive community of learners. Special thanks to anyone who contributes to this repository.
Feel free to reach out if you have any questions or suggestions!
Happy learning! 🚀