Ratings and Reviews for Understanding and Visualizing Data with Python

Worth Learning

This course provided a valuable introduction to data handling and visualizing with python. I very much valued the mix of videos, readings, and Jupiter notebook work, as well as all the pointers to additional resources for deeper dives. And the cartwheels!

This course introduces basic but crucial statistical concepts that any data analyst should be aware of, and offers detailed explanations of the steps that one should follow when desinging an observational survey. I have had several courses online and on campus, but none have done such a great job at explaining study design as this one. Note, however, that knowledge of basic Python programming is a must-have before attending this course, and I would also recommending getting one or two tutorials on numpy and pandas.

Excellently presented as an introduction to statistics with Python. Looking forward to more coursework.

Helped me understand some basic concepts of statistics, and insightful.

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.