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
Status: Data Manipulation
Data Manipulation
Status: Seaborn
Seaborn
Intermediate·Course·20 hours
Featured reviews
4.0
·Reviewed Nov 6, 2023
trainer was very good. all topics got covered and explained vey well.
love to learn new skills.
5.0
·Reviewed Mar 8, 2025
Excellent course for data scientist beginner and intermediate
5.0
·Reviewed Jan 26, 2025
Excellent, solid understanding of fundamental concepts.
4.0
·Reviewed Jun 5, 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
5.0
·Reviewed Dec 21, 2023
I learned a lot and now I know what packages and topics to do further research on.
5.0
·Reviewed 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.
5.0
·Reviewed Feb 19, 2025
Very well presented. Excellent explanations. Plenty of practice.
5.0
·Reviewed Mar 3, 2024
Very helpful to strengthen the fundamentals of python application in the field of data science.
All reviews
Showing: 20 of 23
All Learners
All Stars
Most Helpful
N
Nikos
5.0
·Reviewed 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.
R
RASCONA',Gaetano
5.0
·Reviewed 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.
I
Isaac
5.0
·Reviewed Jun 28, 2023
Es espactular, presenta los cconceptos de una manera sencilla y ademas nos muestra tecnicas de programación de una forma concisa
R
Rebecca
5.0
·Reviewed Dec 22, 2023
I learned a lot and now I know what packages and topics to do further research on.
R
Roman
5.0
·Reviewed Oct 3, 2023
fantastic experience and learning
Á
Álvaro
5.0
·Reviewed Dec 27, 2023
Excelente curso
O
Oleg
5.0
·Reviewed Nov 7, 2023
Nice course!
A
Austin
4.0
·Reviewed 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!
A
Aniket
4.0
·Reviewed Nov 7, 2023
trainer was very good. all topics got covered and explained vey well.
love to learn new skills.
P
Peter
3.0
·Reviewed 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.
K
Kaben
1.0
·Reviewed 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.
V
Vlada
5.0
·Reviewed 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.
A
aiman
5.0
·Reviewed Mar 3, 2024
Very helpful to strengthen the fundamentals of python application in the field of data science.
G
Ghani
5.0
·Reviewed Jun 3, 2024
Pembelajaran dan ilmu pengetahuan yang sangat bermanfaat sehingga mudah di pahami
B
Barbara
5.0
·Reviewed Feb 19, 2025
Very well presented. Excellent explanations. Plenty of practice.
Y
Yassien
5.0
·Reviewed Mar 9, 2025
Excellent course for data scientist beginner and intermediate
M
Mihir
5.0
·Reviewed Jan 27, 2025
Excellent, solid understanding of fundamental concepts.