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Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

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GitHub Followers Google Data Analytics Professional Certificate(Coursera)

About This Course/Certificate

About This workshop and the materials in this repo are for anyone who is interested in working with Data Science to produce high quality, working style! Check out follow course link if you think it is interested.

Course Link: Google Data Analytics Professional Certificate

Course Learn Path

The courses enlisted as follows:

  • C1-Foundations: Data, Data, Everywhere
  • C2-Ask Questions to Make Data-Driven Decisions
  • C3-Prepare Data for Exploration
  • C4-Process Data from Dirty to Clean
  • C5-Analyze Data to Answer Questions
  • C6-Share Data Through the Art of Visualization
  • C7-Data Analysis with R Programming
  • C8-Google Data Analytics Capstone: Complete a Case Study

Course Description: 8 Course

This program includes over hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization. Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming. In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.

Applied Learning Project

Tools: Jupyter / JupyterLab, GitHub,

Libraries: Pandas, NumPy

Projects:

Course Certificate

Total Hours: ~240 Hrs

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