Apr 04, 2019
Excellent introductory course to statistics. Great use of NHANES dataset to demonstrate techniques on real dataset. I would appreciate a more demanding project at the course end.
Jan 24, 2019
I strongly recommend this course to those who want to begin python programming applied to statistics. It launches a very sound foundation for statistical inference theory.
By Jafed Encinas•
May 14, 2019
Able to concentrate and stay focused for periods of several hours, even when tasks are relatively mundane, and doesn't make mistakes. He has a high boredom threshold. Always assured and confident in demeanour and presentation of ideas without being aggressively over-confident. No absences without valid reason in 6 months. Reaches a decision rapidly after taking account of all likely outcomes and estimating the route most likely to bring success. The decisions almost always turn out to be good ones.
This Course always completes any assignment on time and to a high standard. This Course has outstanding artistic or craft skills, bringing creativity and originality to the task. Aiming for a top job in the organization. He sets very high standards, aware that this will bring attention and promotion. This Course pays great attention to detail. He always presented work properly checked and completely free of error.
By Hamza ali•
May 13, 2019
excellent course having comprehensive lectures
By Partha Sinha•
May 13, 2019
It's a wonderful course. Each and every part is well designed and very well explained. i
By Vinícius Gonçalves de Oliveira•
May 12, 2019
If you are searching for a course who could either teach you all about the world of statistics - ranging from statistical analysis with awsome examples and explanation with demosntrations of statistical methods - and at the same time force you trough programming, this is the right course.
I'm very grateful by the efforts of course's team in undertaken such work! I'm now more prepared to advance in my carrer, thanks to it!
By CHITRESH KAUSHIK•
May 12, 2019
Coursework is great and so are the teachers , concepts are taught in a easy to understand way.
By Hugo Iván Velasco Romero•
May 09, 2019
This can be a quite helpful course for beginners. I really liked the course because it thoroughly introduced me into Seaborn (visualization library) which I was unaware of. Also, some of the practical exercises truly help you develop your pandas skills. I really enjoyed week 1-3, which truly challenged me and introduced me to new concepts with a good balance between practical and theoretical. However, week 4 felt a bit off. The contents could've been split into two weeks. The practical tasks are minimal compared to readings and videos. And the final quiz covers like 15% of all that was taught in the week. Concepts like CDF were never taught but employed at the end when talking about the empirical rule.
By Purushottam Prabhakar•
Apr 26, 2019
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!
By Yaroslav Bilychenko•
Apr 24, 2019
There is incorrect course title for this course as in reality it’s Statistics AND partial illustration of it using Python. There is no consіstent exposition on Python libraries and frameworks.
By Nirmal Mishra•
Apr 19, 2019
I strongly recommend this course to those who want to begin python programming applied to statistics. It launches a very sound foundation for statistical inference theory
By Md Irshad•
Apr 19, 2019
This is the best course in this website in entry level