Data Analysis in Python with Pandas
What you will learn
Perform data analysis with python using the pandas library.
Understand some of the basic concepts of data analysis.
Have used n-dimensional arrays in NumPy as well as the pandas Series and DataFrames to analyze data.
Learned the basics of plotting with matplotlib
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Comidoc Review
Our Verdict
This course provides a solid introduction to data analysis in Python using Pandas, but falls short in several key areas. Despite engaging and informative lectures focused on applied concepts and useful functions/methods, there are numerous outdated code examples and syntax issues with no responses or updates from the instructor. Additionally, the lack of exercises throughout the course for practice and reinforcement hurts its overall value. While some may benefit from accompanying notebooks and deeper dives into advanced topics later in the lectures, others may find the inconsistent level of detail frustrating and demotivating. Ultimately, this course could be significantly improved with updates to code examples, more exercises for practice, better attention to detail throughout, and a clearer focus on theoretical understanding beyond basic usage.
What We Liked
- Comprehensive introduction to data analysis using Python and Pandas, including coverage of NumPy arrays, Series, DataFrames, and matplotlib plotting
- Deeper dives into advanced topics such as grouping in later lectures
- Engaging and well-organized format that assumes some prior programming experience
- Useful accompanying notebooks to complement the lecture content
Potential Drawbacks
- Outdated code examples and syntax, with no updates or responses to related questions in the Q&A section
- Lack of exercises for practice and reinforcement of new skills learned
- Insufficient focus on theory and deeper understanding of concepts beyond basic usage
- Instructor appears to lose interest towards the end of the course, with a lack of attention to detail