This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data.
Python Data Analytics
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Python Data Analytics
This course is part of multiple programs.
Instructor: Victor Geislinger
30,048 already enrolled
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244 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
87%
Most learners liked this course
What you'll learn
Sort, query, and structure data in Pandas, the Python library
Describe how to model and interpret data using Python
Create basic data visualizations with Python libraries
Skills you'll gain
- Category: Regression Analysis
- Category: Data Manipulation
- Category: Data Visualization Software
- Category: Data Analysis
- Category: Data Cleansing
- Category: Scripting
- Category: Data Visualization
- Category: Matplotlib
- Category: Programming Principles
- Category: Exploratory Data Analysis
Tools you'll learn
- Category: Jupyter
- Category: Python Programming
- Category: Pandas (Python Package)
Details to know
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Assessments
15 assignments
Taught in English
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There are 5 modules in this course
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Instructor
Instructor ratings
(63 ratings)Victor Geislinger
Meta
1 Course30,048 learners
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Meta
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Showing 3 of 244
JA
Reviewed on Jun 19, 2024
The last assignment took me several hours to complete. You may have to use Google in some situations. Just so you know. But I enjoyed this course no doubt.
HS
Reviewed on Nov 21, 2024
very interesting and easy for first time learner , with real world examples
LH
Reviewed on Jul 21, 2025
Not a fan of Python but still a good primer for some basic knowledge