Data Manipulation in Python: Master Python, Numpy & Pandas

Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python

4.44 (2575 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Learn to use Pandas for Data Analysis

Learn to work with numerical data in Python

Learn statistics and math with Python

Learn how to code in Jupyter Notebook

Learn how to install packages in Python

Charts

Students

Price

Rating & Reviews

Coupons Issued

Enrollment Distribution

Comidoc Review

Our Verdict

Data Manipulation in Python: Master Python, Numpy & Pandas offers a solid introduction to essential data manipulation for data science purposes in Python. However, its lack of advanced use cases, in-depth explanations, and rigorous quizzes might leave learners craving more comprehensive coverage and hands-on expertise. While the course is generally well-received, instructors may consider refining explanations, engaging more actively with sample datasets, and incorporating more challenging assessments to provide a more fulfilling learning experience.

What We Liked

The course provides a comprehensive overview of various data manipulation libraries in Python including NumPy, Pandas, and Jupyter Notebook.
Instructor clearly explains fundamental concepts through a series of bite-sized videos, suitable for both beginners and those seeking to reinforce their knowledge.
Includes real-world datasets that help learners understand and apply the taught skills in practical scenarios.
The course content is consistently updated to maintain relevance and accuracy.

Potential Drawbacks

Lacks advanced use cases or extensive hands-on projects, limiting opportunities for in-depth understanding and mastery of topics.
Explanations on some concepts can be improved, as students mentioned limited engagement with sample datasets and insufficient depth in certain areas.
Assessments are relatively simple; more rigorous quizzes and exercises would foster better retention and application of the taught skills.
Some learners find the presentation style overemphatic and monotonous, making it difficult to maintain attention throughout the course.