The Ultimate Pandas Bootcamp: Advanced Python Data Analysis
Master the powerful pandas library to analyze, manipulate and visualize data. More than 10 datasets & bonuses included!
4.62 (2355 reviews)
35 457
students
32 hours
content
Oct 2024
last update
$99.99
regular price
What you will learn
Learn everything there is to know about pandas - from absolute scratch!
Gain a deep and hands-on understanding of pandas data structures.
Transform, clean, filter, groupby, pivot, and otherwise manipulate a any dataset.
Understand related computer science topics like random-number generators, binary operators, memory pointers, and more!
Practice reading data from the web, pickles, Excel files right within pandas.
Discover and learn hundreds of methods, attributes, and techniques to manipulate data in pandas and python.
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Our Verdict
As a comprehensive exploration of the powerful pandas library, this course leaves no stone unturned. The instructor's engaging style combined with real-life examples creates an informative and enjoyable learning experience. Plentiful practice opportunities help consolidate knowledge while diving into related computer science concepts adds depth to your understanding. However, watch out for occasional outdated content due to pandas' rapid development. While there's room for improvement in providing more feedback on exercises and better mobile optimization, these issues do not detract from the overall value this course provides as a top choice for mastering data analysis with Python and pandas.
What We Liked
- In-depth coverage of pandas, addressing both fundamentals and advanced topics
- Engaging teaching style with clear explanations and real-life examples
- Plenty of practice opportunities and interesting datasets
- Additional content on related computer science concepts
Potential Drawbacks
- Occasional outdated content due to rapidly evolving pandas library
- Limited feedback on exercises and no solution code provided
- Minor issues with typos in slides and small font size on mobile devices
Related Topics
2831952
udemy ID
23/02/2020
course created date
24/05/2020
course indexed date
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