Very nice experience to join this course, which help me to understand and visualize the data using python. I recommend this course to everyone and too friends, as all the instructors clarify all the concepts so nicely. I Thanks to everyone involved in this course to gave me opportunity. Thanks to Coursera for giving such platform.

This first course in the specialization was very helpful and outstanding in the way it created the concepts of statistical programming and data visualization along with statistics theory. All instructors were very helpful and my special thanks to Brady T. West and Brenda Gunderson who were splendid in their teaching methodology.

I really love this course! This has been my best learning experience since I use Coursera! I really appreciate Brian to answer our questions in the forum, even though some of my question is really silly, but he is also very patient. The content of this course is very nice, I learn a lot. Thanks for the efforts of every staff!

The course content is GOLD! Seriously, several of the things that were taught in this course are already known to me but after taking this course, it gives me the real insight and physical significance of those things. After this course I understand how to actually use those things practically! A must do course 🤩😮🤩🤩

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.

This course gives a solid understanding of core statistical principles, sampling, approach to making inferences, plus some experience with data manipulation using Pandas and data visualization using Matplotlib and Seaborn libraries, as well as some experience with the Numpy library (all in Python)

Excellent course to better grasp fundamental parts of statistics within the data analysis space and how to create some basic visualizations. The course is not Python heavy, although some experience working with Pandas, Numpy and understanding of basic loops and list comprehensions will help.

This course is excellent and very well thought out. It covers the fundamentals of sampling methods and data analysis as well as their practical applications with Python. I would recommend it to anyone willing to learn statistics (but you should already have some basic Python knowledge).

I feel 100% more confident in my job now. We just started using Python for analysis and I am probably now ahead of many of my coworkers in a super short amount of time. The class got me over the hump in the learning curve so I can progress much faster than trying to learn on my own.

Sometimes, the lines in Jupyter notebooks are kinda hard to understand. Yet, there are a lot of materials out there online for us to explore; for this, I also learn how to solve programming problems by myself. In general, I like the courses and the instructors a lot.

Great course. The materials are thoughtfully put together and paced well, and I achieved my learning objectives: a second pass through undergraduate level basic statistics and a basic idea of how to use python to do math an evaluate statistical and other data.

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!

A well paced stats refresher which covered the core material well and skillfully introduced current research. The fourth week was a solid introduction to sampling methodologies and inference. Looking forward to the next course in the sequence.

I particularly liked the light introduction of new concepts like methods behind confidence intervals and hypothesis tests. These were then well emphasized via numerous Jupyter Notebooks of varying levels of difficulty. Highly recommendable.

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.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Terrific balance of information and incorporation of Python. I have programmed 40 years BUT am not in any way a programmer... this is my first ever use of Python. It was the perfect level... tough but I could hang enough to get it.

I really enjoyed taking this course. All the teachers did a great job in explaining the information in clear and understandable ways. The layout of the course was also organized which made the whole process easy. I would recommend.

That is an amazing course for someone, who has at least a little bit of experience with Python under the belt! Definitely recommend it to anyone, who would like to refresh statistical knowledge, learn how to apply it in real life.

This is a great course to start with if you are a beginner to statistics and if you know a little bit of Python. The course material is very good, concepts have been explained very well and the assignments are interesting.

Thanks for everyone involved in preparing the course content. Gained a lot of insights from this course. Really opened my eyes on the basics of statistics. Will definitely complete all the courses of this specialization!

I felt pretty good by taking this course. It delves into details of statistics with good hands on python programming. Acts as good foundation course and Will be helpful further gaining knowledge on in depth courses.

A great course. They example the necessary concepts with the right depth and understanding. Also, love the assignment in python, aids in using them as a template while doing a similar analysis on another dataset.

This is an excellent initial course for using python in statistical data processing and analysis of big sets of data, I appreciate the most the lectures on probability and non-probability sampling. Big Thanks.

Excellent course materials, especially the videos, with content that is thoughtfully composed and carefully edited. Very good python training, great instructors, and overall great learning experience.