The Complete Pandas Bootcamp 2025: Data Science with Python
Now with ChatGPT for Pandas, Online Exercises, Seaborn, Machine Learning. Fully Updated (Pandas 3.x) as of Sep 2024
4.67 (3753 reviews)
28 731
students
36.5 hours
content
May 2025
last update
$109.99
regular price
What you will learn
Bring your Data Handling & Data Analysis skills to an outstanding level.
Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
Learn Pandas based on NEW Version 2.x (already anticipating 3.x)
Import, clean, and merge messy Data and prepare Data for Machine Learning
Master a complete Machine Learning Project A-Z with Pandas, Scikit-Learn, and Seaborn
Analyze, visualize, and understand your Data with Pandas, Matplotlib, and Seaborn
Practice and master your Pandas skills with Quizzes, 150+ Exercises, and Comprehensive Projects
Import Financial/Stock Data from Web Sources and analyze them with Pandas
Learn and master the most important Pandas workflows for Finance
Learn the Basics of Pandas and Numpy Coding (Appendix)
Learn and master important Statistical Concepts with scipy
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Our Verdict
The Complete Pandas Bootcamp 2025: Data Science with Python offers a thorough and engaging approach to mastering the Pandas library for data analysis; however, it could benefit from better pacing in later sections and more consistent application of techniques.
What We Liked
- Provides a very comprehensive coverage of various Pandas methods and workflows with real-world datasets
- Instructor's deep knowledge of the topic contributes to improved Data Handling & Data Analysis skills
- Course now includes ChatGPT, online exercises, Seaborn, and Machine Learning, fully updated for Pandas 3.x as of Sep 2024
- Offers practice quizzes, 150+ exercises, and comprehensive projects to help master Pandas skills
Potential Drawbacks
- The course can sometimes feel like the instructor is merely reading from the Pandas user documentation
- Later parts of the course can be overwhelming with too much information presented at once without sufficient practice opportunities
- Several instances where numerous techniques are introduced, making some learning time seem unnecessarily repetitive or ultimately not 'industry standard'
Related Topics
1856076
udemy ID
14/08/2018
course created date
12/01/2020
course indexed date
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