The course appearance may not as interesting as other courses, but if I have to name a course where my ability increases the most through the learning, I would choose this course. Thank you!

This course is very good for the people who are not from programming background as everything related to the concepts is very well explained (with programming support) throughout the course

I've learned so much about the Python programming as well as general statistical skills. This course also lead me to change my initial university's major from Finance to Data Science.

The material was explained thoroughly. It gave me the confidence to apply the knowledge in my own field of research and to explore new methods of visualization in the seaborn package.

This was a quick way of understanding the basics. I liked how detailed and basic the learning instructions were. Anyone, even those without a statistics background can begin from here

20 studying hours that helps me getting back to speed on manipulating the quantitative data in Pandas with different query conditions, powerful statistics and Sampling Distributions.

That is very good to learn math behind the data collection. If we have few practical example with this course, then it will be easy to understand whole process of data collection.

The course itself was good. I think I learnt the specific concepts well. However, I would have to go through the general sense of python to actually implement what I learnt here

Great course! It is necessary to have a minimum of knowledge in Python. If you enroll in this course, you will learn the fundamentals of statistics through Python programming.

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.

A really well organized course with plenty of resources to learn how to analyze and visualize data using the suite of Python packages used in statistical analysis. Loved it.

Very excellent course . Right now I know how to apply descriptive statistics in python in professional way.

Thanks coursera and University if Michigan for this opportunity.

Excelente, las clases son muy claras, presentan bastante información que ayudan a complementar los temas y los laboratorios ayudan muchisimo en el proceso de aprendizaje.

Great course if you want to get a good grasp of intro to statistics. What this course offers is a great content on how to use proper statistical modelling for research.

Very good course instructors ! Excellent balance of basics of statistics and python programming oriented towards data analysis. Thoroughly enjoyed the course material.

Great course to learn about the basic tools which will be helpful in data visualization and this course also gives an insight explanation of where the data comes from.

The course is very good & it gives a confidence to people like me who are new to Python .

It would be great If you can explain the hypothesis section in more detail .

Really helpful to build a foundation for the basic Python and improve the understanding on basic but key concepts on statistics and visualizing techniques. Awesome!

It's a very nice course, which narrows complicated statistics concepts to understandable size, additionally, each concept is explained through hands-on exercises!

its more benificial for me becasuse visulization of the data is very important understand in analysis part that i have gained very easy from you thankyou so much

The course is comprehensive and good for beginners. Highly recommend if you are starting out as a data scientist or even if you are a beginner python programmer.

excellent course. if want to know what is data data and want to visualize data then you should do this course. Excellent course material, videos, quiz and more.

That is a wonderful course . I learn a lot of things . I love it . The introduction of course by Brenda Gunderson is amazing . and other instructor are also .

Very informative course! helps you increase your depth of knowledge in Statistics. Would highly recommend to any aspiring Data Analysts and Data Scientists.

It is a very explanatory course with instructors trained in the subject. The class materials are varied, which allows new technical skills to be developed.