This course is part of the Google Advanced Data Analytics Professional Certificate Course No 3 Out of 7🔹🔹Go Beyond the Numbers Translate Data into Insights🔹🔹

🏆What you will learn
✔️Apply the exploratory data analysis (EDA) process
✔️Explore the benefits of structuring and cleaning data
✔️Investigate raw data using Python
✔️Create data visualizations using Tableau

👋👋Come join our Discord group! https://discord.gg/fS4uQ4nufM👋👋

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Link:    • Google Advanced Data Analytics Certificate  

⭐Course No 2:    • Get Started with Python | Google Advanced ...  


📝Course Martial: https://drive.google.com/drive/folders/168...


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✒️Week 1
Go Beyond the Numbers: Translate Data into Insights
0:00:00 Introduction to Course 3
0:04:53 Robb: Obstacles and achievements
0:08:40 Welcome to week 1
0:09:41 Find stories using the six exploratory data analysis practices
0:19:15 Benj: Data science and storytelling
0:21:59 Combine PACE and EDA practices
0:28:29 PACE with data visualizations
0:33:58 Wrap-up

✒️Week 2
0:36:52 Welcome to week 2
0:39:56 Yaser: Understand data to drive value
0:41:59 Where the data comes from
0:52:34 EDA using basic data functions with Python
1:02:42 Discover what is missing from your dataset
1:08:41 Date string manipulations with Python
1:22:34 Use structuring methods to establish order in your dataset
1:27:34 EDA structuring with Python
1:43:58 Wrap-up


✒️Week 3
1:47:19 Welcome to week 3
1:51:10 Handle missing data with Python
1:59:33 Work with missing data in a Python notebook
2:11:54 Remy: A day in the life of a data professional
2:14:28 Account for outliers
2:20:29 Identify and deal with outliers in Python
2:33:59 Sort numbers versus names
2:38:46 Label encoding in Python
2:47:43 The value of input validation
2:55:12 Input validation with Python
3:03:23 Wrap-up


✒️Week 4
3:05:38 Welcome to week 4
3:08:25 The visualization life cycle
3:13:36 Work with Tableau, Part 1
3:20:22 Work with Tableau, Part 2
3:27:51 Drew: Explore the possibilities of data
3:30:25 Craft compelling stories with Tableau
3:39:13 Present like a pro with Tableau
3:45:40 Wrap-up


✒️Week 5

3:46:57 Welcome to week 5
3:49:35 Introduction to Course 3 end-of-course portfolio project
3:51:09 End-of-course project wrap-up and tips for ongoing career success
3:53:27 Course wrap-up

📒📒About this Course📒📒
This is the third of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll learn how to find the story within data and tell that story in a compelling way. You'll discover how data professionals use storytelling to better understand their data and communicate key insights to teammates and stakeholders. You'll also practice exploratory data analysis and learn how to create effective data visualizations.

Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you build your data analytics skills to prepare for your career.

Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.

By the end of this course, you will:
-Use Python tools to examine raw data structure and format
-Select relevant Python libraries to clean raw data
-Demonstrate how to transform categorical data into numerical data with Python
-Utilize input validation skills to validate a dataset with Python
-Identify techniques for creating accessible data visualizations with Tableau
-Determine decisions about missing data and outliers
-Structure and organize data by manipulating date strings

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