Ratings and Reviews for Understanding and Visualizing Data with Python

Thanks to this course I have been able to elevate my understanding of research methodology and incorporate a more critical assessment of scientific studies into my daily work.

The examples of Python are well-designed and helpful to make me understand the key points of basical statistical techniques.

A very gentle introduction to data visualisation with great effort from teachers and students to make the course refreshing. The course will not be very mathematical or coding heavy. Most of the quizzes are fairly simple and motivate the student to gain more insight by opting for further courses in the specialization.

More examples could have been used to explain concepts in the 4th week of the course. Thanks

Good content and syllabus, though the later videos could be easier to follow.

The classes and content are great. It has fixation exercises, which helps a lot. I would suggest as an improvement to put more examples in unit 4, because there were times when the concept was not very clear, especially complex samples

Very good course to kick start career in data science and statistics.

The topics that were seen in the course started in a very basic and understandable way but they evolved to much more advanced and difficult topics without a good explanation.Sometimes I felt no connection between theory and practice with Python. The large number of teachers does not allow continuity in learning and creates gaps.

Thanks!

Great explanation of statistics! Pretty much exactly what I was looking for, does a great job of explaining sampling theory, and the emphasis is placed more heavily on understanding the nature/theory of statistics than the Python aspect.