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Learner Reviews & Feedback for Python Packages for Data Science by University of Colorado Boulder

4.5
stars
51 ratings

About the Course

How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. Now that you have mastered the fundamentals of Python and Python functions, you will turn your attention to Python packages specifically used for Data Science, such as Pandas, Numpy, Matplotlib, and Seaborn. Are you ready? Let's go! Logo image courtesy of Mourizal Zativa. Available on Unsplash here: https://unsplash.com/photos/gNMVpAPe3PE...

Top reviews

RR

May 29, 2023

Simple, direct, pleasant. Learning about Python packages with this course is effective and open the mind for future insights to be more skilled in the topic.

AJ

Mar 3, 2024

Very helpful to strengthen the fundamentals of python application in the field of data science.

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1 - 16 of 16 Reviews for Python Packages for Data Science

By math t ( T

Jan 10, 2024

It is a well-organized course in Data Science: data manipulation, statistics literacy and data management with specific Python libraries. Overall, it is an insightful specialization skill set in Python programming, Data Science and Algorithm Design.

By RASCONA',Gaetano

May 30, 2023

Simple, direct, pleasant. Learning about Python packages with this course is effective and open the mind for future insights to be more skilled in the topic.

By Isaac P D V

Jun 28, 2023

Es espactular, presenta los cconceptos de una manera sencilla y ademas nos muestra tecnicas de programación de una forma concisa

By Rebecca F

Dec 22, 2023

I learned a lot and now I know what packages and topics to do further research on.

By Roman u

Oct 3, 2023

fantastic experience and learning

By Álvaro S

Dec 27, 2023

Excelente curso

By Олег Л

Nov 7, 2023

Nice course!

By Austin P

Feb 5, 2024

Di goes into the right amount of detail for the level of this class. very much beginner level. I feel the course tasks are in line with what is taught. I feel that the questions could be more clear in some cases. overall, I am really happy it was offered. I am not up and running in data frames!

By Aniket M

Nov 7, 2023

trainer was very good. all topics got covered and explained vey well. love to learn new skills.

By Peter C

Jun 1, 2024

Great start for learning Python. Too bad an online tool for notebook is pushed. Could have been a Jupyter notebook run on coursera infrastructure.. instead of needing to use Google.

By Kaben G N

Jun 12, 2023

Vague assignments and rubrics such as:

"There's no correct solution" "Try your best" "Use interesting communication"

These make assignments difficult to complete to your own satisfaction, as well as make it hard to know how to grade the work of others.

By Vlada A

May 12, 2024

Really like the structure, the professor and the learning pace. It was perfectely suitable for me as a refreshment course since I do have some prior experience with Python. Definitely need to practice with my own dataset as this course leaves you with lots of instruments to choose from.

By aiman j

Mar 3, 2024

Very helpful to strengthen the fundamentals of python application in the field of data science.

By Ghani A R

Jun 3, 2024

Pembelajaran dan ilmu pengetahuan yang sangat bermanfaat sehingga mudah di pahami

By Danilo C

Apr 1, 2024

Very straight forward!

By Bill L

Jun 6, 2024

This class was quite informative, but I would have liked a better understanding of the theory behind the packages as this helps me apply them better