Python Data Analysis: NumPy & Pandas Masterclass
Learn NumPy + Pandas for data analysis, data science & business intelligence, w/ a top Python data science instructor!
4.64 (2197 reviews)
18 179
students
13.5 hours
content
Nov 2024
last update
$84.99
regular price
What you will learn
Master the essentials of NumPy and Pandas, two of Python's most powerful data analysis packages
Learn how to explore, transform, aggregate and join NumPy arrays and Pandas DataFrames
Analyze and manipulate dates and times for time intelligence and time-series analysis
Visualize raw data using plot methods and common chart options like line charts, bar charts, scatter plots and histograms
Import and export flat files, Excel workbooks and SQL database tables using Pandas
Build powerful, practical skills for modern analytics and business intelligence
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Comidoc Review
Our Verdict
This NumPy & Pandas Masterclass on Comidoc.com is a comprehensive, well-paced course great for learning Python data analysis essentials. Its practical focus provides students with solid skills in manipulating and visualizing data. With some minor improvements and additional practice opportunities, this top-notch course can further enhance the learning experience for aspiring data analysts. Highly recommended for beginners and those seeking a refresher on these popular Python libraries.
What We Liked
- Thorough coverage of NumPy and Pandas, essential packages for Python data analysis
- Well-constructed course with clear, easy-to-follow lectures, demos, and recaps
- Practical skills taught for modern analytics and business intelligence
- Real-world examples and problem-solving use cases for contextual learning
Potential Drawbacks
- Occasional minor technical issues such as typos in quiz questions and missing instructions in coding tasks
- Limited number of assignments and projects for practice, with room for more challenging exercises
- Some concepts and syntax require additional practice beyond the course
- Minor content updates needed for full compatibility with latest Pandas library versions
Related Topics
4780158
udemy ID
13/07/2022
course created date
27/07/2022
course indexed date
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