Python Data Analytics
Master data analysis with Python: Learn Pandas for data manipulation, visualization, and statistical analysis using the OSEMN framework.
Master data analysis with Python: Learn Pandas for data manipulation, visualization, and statistical analysis using the OSEMN framework.
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 Meta Data Analyst Professional Certificate or Meta Marketing 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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Instructors:
English
پښتو, বাংলা, Tiếng Việt, 3 more
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What you'll learn
Use Python to construct loops and manage data structures
Manipulate and analyze data using Pandas library
Create effective data visualizations with Python
Apply statistical analysis and modeling techniques
Skills you'll gain
This course includes:
5 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course introduces Python programming for data analysis, following the OSEMN (Obtain, Scrub, Explore, Model, and iNterpret) framework. Students learn to use Python's Pandas library for data manipulation and analysis, create visualizations with Matplotlib, and perform basic statistical analysis. The curriculum covers fundamental programming concepts, data structures, and practical applications in data analytics. Through hands-on exercises and programming assignments, learners develop skills in data manipulation, visualization, and interpretation using Python tools and libraries.
Introduction to Python
Module 1 · 2 Hours to complete
Basic Python Concepts
Module 2 · 5 Hours to complete
Obtaining and Scrubbing Data with Pandas
Module 3 · 4 Hours to complete
Exploring Data with Python
Module 4 · 5 Hours to complete
Modeling and Interpreting Data with Python
Module 5 · 4 Hours to complete
Fee Structure
Instructor
Data Scientist and Educator Passionate About Data
Victor is a data scientist at O'Reilly Media, where he combines his expertise in data with his passion for education. He previously developed curricula and taught at Berkeley Extension’s Data Analytics Bootcamp and Flatiron School’s Data Science boot camp. With over a decade of programming and teaching experience, Victor is dedicated to helping others navigate the complexities of data science.
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Frequently asked questions
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