├── C1-Foundations_Data, Data, Everywhere ├── C1W1Q1-Familiar with data analytics.pdf ├── C1W1Q2-data ecosystem.pdf ├── C1W1Q3-Program Expectations.pdf ├── C1W1Q4-Weekly Challenge 1.pdf ├── C1W2PQ1-Basic Analytical Skills.pdf ├── C1W2PQ2-Self Reflection.pdf ├── C1W2Q3-Knowledge on Analytical Thinking.pdf ├── C1W2Q4-Thinking about the Outcomes.pdf ├── C1W2Q5-Weekly Challenge 2.pdf ├── C1W3Q1-Collecting Data.pdf ├── C1W3Q2-Data Life Cycle.pdf ├── C1W3Q3-Data Life Cycle.pdf ├── C1W3Q4-Self-Reflection of Data Analysis Process.pdf ├── C1W3Q5-Data Analysis Toolbox.pdf ├── C1W3Q6-Weekly Challenge 3.pdf ├── C1W4Q1-Hands-On Activity Generating a chart from a spreadsheet.pdf ├── C1W4Q2-Knowledge on Spreadsheet Basics.pdf ├── C1W4Q3-Test Your Knowledge on SQL.pdf ├── C1W4Q4-Test Your Knowledge on Visualizing Data.pdf ├── C1W4Q5-Weekly Challenge 4.pdf ├── C1W5Q1-Self-Reflection Business Use of Data.pdf ├── C1W5Q2-Self-Reflection-Fairness of Business Cases.pdf ├── C1W5Q3-Fairness of Business Decision.pdf ├── C1W5Q4-Weekly Challenge 5.pdf └── C1W5Q5-Course Challenge .pdf ├── C2-Ask Questions to Make Data-Driven Decisions ├── C2W1-Weekly Challenge 1.pdf ├── C2W2-Weekly Challenge 2.pdf ├── C2W3-Weekly Challenge 3.pdf ├── C2W4Q1-Weekly Challenge 4.pdf └── C2W4Q2-Course Challenge.pdf ├── C3-Prepare Data for Exploration ├── C3W1-Data Types and Data Structures.pdf ├── C3W2-Bias, Credibility, Privacy, Ethics, and Access.pdf ├── C3W3-Databases_Where Data Lives.pdf ├── C3W4-Organizing and Protecting Your Data.pdf └── C3W5-Course Challenge.pdf ├── C4-Process Data from Dirty to Clean ├── C4W1-The Importance of Integrity.pdf ├── C4W2-Sparkling Clean Data.pdf ├── C4W3-Cleaning Data with SQL.pdf ├── C4W4-Verify and Report on Your Cleaning Results.pdf └── C4W6-Process Data from Dirty to Clean.pdf ├── C5-Analyze Data to Answer Question ├── C5W1-Organzing Data to Begin Analysis.pdf ├── C5W2-Formatting and Adjusting Data.pdf ├── C5W3-Aggregate Data for Analysis.pdf ├── C5W4-Course Challenge.pdf └── C5W4-Performing Data Calculation.pdf ├── C6-Share Data Through the Art of Visualization ├── C6W1-Visualizing Data.pdf ├── C6W2-Creating Data Visualization with Tableau.pdf └── C6W3-Crafting Data Stories.pdf ├── C7-Data Analysis with R Programming ├── C7-Final Challenge.pdf ├── C7W1-Programming and data analytics.pdf ├── C7W2-Programming using RStudio.pdf ├── C7W3-Working with data in R.pdf ├── C7W4-More About Visualization, Aesthetics, and Annotations.pdf └── C7W5-Documentation and Reports.pdf ├── C8-Google Data Analytics Capstone_Complete a Case Study └── C8-Do you complete a case study.pdf └── README.md /C1-Foundations_Data, Data, Everywhere/C1W1Q1-Familiar with data analytics.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BDFD-Learning-Ground/Cousera_Google-Data-Analytics-Professional-Certificate/445e996ceda63e6334d59b81c8ca13b017e0ef07/C1-Foundations_Data, Data, Everywhere/C1W1Q1-Familiar 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![ViewCount](https://views.whatilearened.today/views/github/BDFD-LearningGround/Google-Data-Analytics-Professional-Certificate_Coursera_.svg?cache=remove) 12 | ![GitHub top language](https://img.shields.io/github/languages/top/BDFD-LearningGround/Google-Data-Analytics-Professional-Certificate_Coursera_?style=flat) 13 | ![GitHub language count](https://img.shields.io/github/languages/count/BDFD-LearningGround/Google-Data-Analytics-Professional-Certificate_Coursera_?style=flat) 14 | bdfd 15 | 16 | # GitHub Followers Google Data Analytics Professional Certificate(Coursera) 17 | 18 | ## About This Course/Certificate 19 | 20 | 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. 21 | 22 | **Course Link:** [Google Data Analytics Professional Certificate](https://www.coursera.org/professional-certificates/google-data-analytics) 23 | 24 | ## Course Learn Path 25 | 26 | The courses enlisted as follows: 27 | 28 | - [x] **C1-Foundations: Data, Data, Everywhere** 29 | - [x] **C2-Ask Questions to Make Data-Driven Decisions** 30 | - [x] **C3-Prepare Data for Exploration** 31 | - [x] **C4-Process Data from Dirty to Clean** 32 | - [x] **C5-Analyze Data to Answer Questions** 33 | - [x] **C6-Share Data Through the Art of Visualization** 34 | - [x] **C7-Data Analysis with R Programming** 35 | - [x] **C8-Google Data Analytics Capstone: Complete a Case Study** 36 | 37 | ## Course Description: 8 Course 38 | 39 | 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. 40 | Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization. 41 | Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming. 42 | 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. 43 | 44 | ## Applied Learning Project 45 | 46 | **Tools:** Jupyter / JupyterLab, GitHub, 47 | 48 | **Libraries:** Pandas, NumPy 49 | 50 | **Projects:** 51 | 52 | ## Course Certificate 53 | 54 | Total Hours: ~240 Hrs 55 | 56 |
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