Python for Statistical Analysis
Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries
4.32 (2773 reviews)
54 691
students
8.5 hours
content
Feb 2025
last update
$74.99
regular price
What you will learn
Gain deeper insights into data
Use Python to solve common and complex statistical and Machine Learning-related projects
How to interpret and visualize outcomes, integrating visual output and graphical exploration
Learn hypothesis testing and how to efficiently implement tests in Python
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Our Verdict
This Python for Statistical Analysis course offers in-depth knowledge of essential topics, supporting students who can keep up with its brisk pace. While challenges stemming from occasional complexity and sparse practice opportunities exist, the reward of understanding sophisticated statistical techniques might outweigh the hurdles faced by data science enthusiasts.
What We Liked
- Covers a lot of ground with strong mathematical underpinnings, providing clear explanations for Python code and statistical concepts.
- Real-world, engaging examples keep learners motivated and interested.
- Instructor's energy and clear communication style enhance the learning experience.
- Availability of Jupyter notebook files to review and practice alongside the course content.
Potential Drawbacks
- Steep learning curve; expectations for prior knowledge in Python, data science libraries, and statistics may leave some beginners behind.
- Lectures can be fast-paced without gradual introduction or thorough explanations of all code snippets.
- Limited practical exercises to reinforce applied statistical analysis and python skills.
- Sporadic issues with incorrect examples or errors within downloaded notebook files.
Related Topics
2432816
udemy ID
27/06/2019
course created date
08/11/2019
course indexed date
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