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
MM
Excellent, solid understanding of fundamental concepts.
YM
Excellent course for data scientist beginner and intermediate
BD
Very well presented. Excellent explanations. Plenty of practice.
AJ
Very helpful to strengthen the fundamentals of python application in the field of data science.
AM
trainer was very good. all topics got covered and explained vey well. love to learn new skills.
RR
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.
RF
I learned a lot and now I know what packages and topics to do further research on.
BL
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
显示：20/23
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.
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.
Es espactular, presenta los cconceptos de una manera sencilla y ademas nos muestra tecnicas de programación de una forma concisa
I learned a lot and now I know what packages and topics to do further research on.
fantastic experience and learning
Excelente curso
Nice course!
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!
trainer was very good. all topics got covered and explained vey well. love to learn new skills.
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.
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.
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.
Very helpful to strengthen the fundamentals of python application in the field of data science.
Pembelajaran dan ilmu pengetahuan yang sangat bermanfaat sehingga mudah di pahami
Very well presented. Excellent explanations. Plenty of practice.
Excellent course for data scientist beginner and intermediate
Excellent, solid understanding of fundamental concepts.
very Informative course
Very straight forward!
Excellent course!!!!