Go Beyond the Numbers: Translate Data into Insights
Master exploratory data analysis and data visualization techniques using Python and Tableau to uncover and communicate compelling data stories.
Master exploratory data analysis and data visualization techniques using Python and Tableau to uncover and communicate compelling data stories.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Google Advanced Data Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Apply exploratory data analysis techniques with Python
Create effective data visualizations using Tableau
Handle missing data and outliers effectively
Develop compelling data stories
Present insights professionally to stakeholders
Skills you'll gain
This course includes:
3.9 Hours PreRecorded video
20 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course teaches data professionals how to transform raw data into meaningful insights through exploratory data analysis (EDA) and visualization. Students learn to use Python for data cleaning, transformation, and analysis, while mastering Tableau for creating compelling visualizations. The curriculum covers the complete EDA process, handling missing data, outlier detection, and effective data storytelling techniques.
Find and share stories using data
Module 1 · 3 Hours to complete
Explore raw data
Module 2 · 7 Hours to complete
Clean your data
Module 3 · 7 Hours to complete
Data visualizations and presentations
Module 4 · 5 Hours to complete
Course 3 end-of-course project
Module 5 · 8 Hours to complete
Fee Structure
Instructor
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Frequently asked questions
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