Find and share stories using data-Get started with the course
Introduction to Course 3
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Helpful resources and tips
Robb: Obstacles and achievements
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Course 3 overview
Welcome to module 1
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Find stories using the six exploratory data analysis practices
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Case study: Deloitte
Benj: Data science and storytelling
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Find and share stories using data-Use PACE to inform EDA and data visualizations
Combine PACE and EDA practices
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Reference guide: The EDA process
PACE with data visualizations
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Find and share stories using data-Review: Find and share stories using data
Wrap-up
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Glossary terms from module 1
Explore raw data-"Discovering" is the beginning of an investigation
Welcome to module 2
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Yaser: Understand data to drive value
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Where the data comes from
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Reference guide: Import datasets with Python
Reference guide: Pandas methods for the discovery of a dataset
EDA using basic data functions with Python
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Explore raw data-Understand data format
Discover what is missing from your dataset
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Reference guide: Datetime manipulation
Date string manipulations with Python
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Explore raw data-Create structure from raw data
Use structuring methods to establish order in your dataset
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Reference guide: Pandas tools for structuring a dataset
EDA structuring with Python
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Histograms
Explore raw data-Review: Explore raw data
Wrap-up
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Glossary terms from module 2
Clean your data-The challenge of missing or duplicate data
Welcome to module 3
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Methods for handling missing data
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Data deduplication with Python
Work with missing data in a Python notebook
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Remy: A day in the life of a data professional
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Clean your data-The ins and outs of data outliers
Account for outliers
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Protect the people behind the data
Identify and deal with outliers in Python
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Reference guide: How to handle outliers
Clean your data-Change categorical data to numerical data
Sort numbers versus names
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Label encoding in Python
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Other approaches to data transformation
Reference guide: Data cleaning in Python
Clean your data-Input validation
The value of input validation
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Input validation with Python
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Clean your data-Review: Clean your data
Wrap-up
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Glossary terms from module 3
Data visualizations and presentations-Present a story
Welcome to module 4
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Tableau Public overview
How to sign on to Tableau Public
The visualization life cycle
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Download your datasets and begin presenting with Tableau
Follow-along guide: Work with Tableau, Part 1
Work with Tableau, Part 1
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Data visualizations and presentations-Advanced Tableau
Follow-along guide: Work with Tableau, Part 2
Work with Tableau, Part 2
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Drew: Explore the possibilities of data
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Activity Exemplar: Design a bar graph that tells a story in Tableau Public
Follow-along guide: Craft compelling stories with Tableau
Craft compelling stories with Tableau
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The top five data visualization resources
Follow-along guide: Present like a pro with Tableau
Present like a pro with Tableau
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Activity Exemplar: Build an interactive dashboard in Tableau Public
Data visualizations and presentations-Review: Data visualizations and presentations
Wrap-up
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Glossary terms from module 4
Course 3 end-of-course project-Apply your skills to a workplace scenario
Welcome to module 5
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Introduction to your Course 3 end-of-course portfolio project
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Explore your Course 3 workplace scenarios
Course 3 end-of-course project-Automatidata scenario
Course 3 end-of-course portfolio project overview: Automatidata
Activity Exemplar: Create your Course 3 Automatidata project
Course 3 end-of-course project-TikTok scenario
Course 3 end-of-course portfolio project overview: TikTok
Activity Exemplar: Create your Course 3 TikTok project
Course 3 end-of-course project-Waze scenario
Course 3 end-of-course portfolio project overview: Waze
Activity Exemplar: Create your Course 3 Waze project
Course 3 end-of-course project-End-of-course portfolio project wrap-up
End-of-course project wrap-up and tips for ongoing career success
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Course 3 glossary
Course 3 end-of-course project-Course review: Go Beyond the Numbers: Translate Data into Insights
Reflect and connect with peers
Course wrap-up
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Get started on the next course
Activity Exemplar_ Waze Course 3 executive summary-g1sukdeyR7CEIfVQK-yQxQ.pptx
(5.3 MB)
Activity Exemplar_ TikTok Course 3 executive summary-43TtFecwRU-4Nt_KoeD77w.pptx
(5.3 MB)
Activity Exemplar_ Course 3 Automatidata Executive Summary-1LBygRs_QjeGGMUHsvyE6g.pptx
(5.1 MB)
tableau_datasets-Bjuw8ILPTu6jfk8qE7p9SQ.zip
(119.1 MB)
Reference guide_ Datetime manipulation-utdLCUQWQ0WyMLvE5gnNRw.docx
(594 KB)
Reference guide_ Python functions for the discovery of a dataset-mL8RLCL8SE21REQiK2kx7w.docx
(388 KB)