This course provides a solid foundation in statistical inference, hypothesis testing, and multiple testing corrections. The explanations are clear, and the examples are well-structured, making it easier to grasp key concepts like p-values, ANOVA, chi-square tests, and methods for controlling false discoveries. The inclusion of real-world scenarios, such as medical studies and online advertising experiments, enhances practical understanding. The quizzes and assignments reinforce learning effectively, though some questions can be tricky. The course also covers important statistical concerns like data snooping, replicability, and reproducibility, which are crucial for researchers and data analysts. One potential improvement could be a more detailed explanation of advanced multiple testing techniques and additional hands-on exercises. Overall, it's a great course for students and professionals looking to strengthen their statistical analysis skills.

The course is an excellent introduction to statistics. It focuses in understanding the basic concepts of statistics and less on the actual tools to be used (which is actually a good thing). Additionally the professor is very experienced and gives also information about possible fallacies and how to avoid when interpreting statistic results.

Many thanks for providing this excellent course for free. Much appreciated.

Overall, I think this Intro to Statistics class provided a great amount of content to understand the Fundamentals. The amount of content and quizzes is fair and reasonable. It's not overwhelming. My only advice is to potentially provide more examples of how Statistics is applied in research and in corporations in various roles Ex: from the point of view of a data scientist.

Excellent review that worked for me. The course had a good mix between the theory and practical application of the math. I would highly recommend for those who many years ago has probably and statistical and wants to refresh their knowledge. ML is more powerful when you understand the math behind the technology.

I really enjoyed the clear explanations and the well-structured step-by-step program. However, I found the 6th module challenging to understand. This is partly because English is not my first language and also because I am not familiar with the concepts covered in that module

It is a great course to learn the key foundamental concepts about statistics theories. I did not grasp the whole concepts at once, but by repeating the video and reading the materials I was able to understand the key concepts. Good starter for data science field study.

This introductory statistics course was very comprehensive, and I was able to address the weaknesses I had in statistics and probability thanks to the instructor, who explained the topics in a very clear and straightforward manner, making them easy to understand.

The course was well-paced. I was able to easily follow along with the instructor. I recommend taking notes in a notebook or tablet while watching the video. This helped me retain the course material and have a place to refer back to quickly.

I would say, Professor Guenther Walther is one of the most lucid statisticians, which is a rare feature in statistics mentors. He explains all the complex concepts in a very simple manner making them less daunting for a biologist like me.

A very good course. Definitely a course to take for an introduction into Statistics. Also probably going to be very useful as I'm planning on taking Machine Learning.

It was quite the experience, brilliant teaching with wonderful presentation of lessons. The professor was really great. The assignments were also astonishing.

This course is very helpful for me as I have to start learning machine learning. This course provide me a platform to learn basic statistical analysis.

very good course to take , because this course was explained in detailed and also by doing the quiz of this course helpful to learn perfectly.

very nice course, my suggestion is that you might want to review certain parts, my favorite section was one way ANOVA, Module 11, thank you.

Excellent course, with ideal programmatic content for those who want to move forward in machine learning or even advanced statistics.

Great course if you want to learn the basics of statistics, highly approve for someone who does not have a mathematical background.

Exception program. Through out the sessions, it felt like that the Prof was walking alongside and holding your hand to guide you.

Very interesting statistics course, the instructor clearly conveys the shared knowledge. Very satisfied with the course.

Excellent course... Only improvement I can suggest is to add more problems in the lectures as well as quizzes.

This course will surely help kick start my career in data science. I have learned alot.

it helped me in understanding the basics of the different statistical algorithms

Very good refresher course. Those new to statistics can easily follow and learn.

This is very nice course it helps me to understand basic statistics

Excellent teacher. Course would benefit from some more examples.

Excellent course to know basic concepts about Statistics