Data Manipulation in Python: A Pandas Crash Course
Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
4.63 (1872 reviews)
38 859
students
9 hours
content
Feb 2025
last update
$89.99
regular price
What you will learn
Visualise data using methods from histograms to dimensionality reduction.
Create, save and serialise data frames in and out of multiple formats.
Clean and format data easily.
Detect and intelligently fill missing values.
Group, aggregate and summarise your data.
Merge data sources into a beautiful whole.
Pivot and cross-tabulate data like a pro.
Intersplice, summarise and investigate time series data.
Seamlessly work with data from different time zones.
Learn the common pitfalls and traps that ensnare beginners and how to avoid them.
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Our Verdict
A data manipulation crash course that lives up to its name, offering an intense overview of Python and Pandas capabilities. While experienced coders may find the pace suitable, beginners could struggle to follow along. For a well-rounded curriculum, supplement this course with additional resources focusing on foundational concepts.
What We Liked
- Comprehensive coverage of data manipulation techniques using Python and Pandas
- Organized course structure guiding learners from basics to advanced topics
- Real-world, hands-on examples provided by a knowledgeable instructor
- Exercises and supplemental materials for practice
- Engaging teaching style with humor keeping the content interesting
Potential Drawbacks
- Fast pace that may require pausing or rewinding to understand
- Some sections might be too advanced without a strong foundation in Python and Pandas
- Assumes prior knowledge of basic/advanced syntax
- Lack of in-depth explanation for some code snippets
- Occasionally vague question prompts in the exercises
2860646
udemy ID
09/03/2020
course created date
21/03/2020
course indexed date
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