I am very thankful to you sir.. i have learned so much great things through this course.\n\nthis course is very helpful for my career. i would like to learn more courses from you. thank you so much.
Good course, but the last of three was the most difficult one. I hope that it were a good introduction to the fascinating world of statistics and data science
by Walt T S L•
Great statistical lessons, I did not realize there were more regression-type models besides Ordinary Least Squares, which expanded my learning horizon, and of course, applied using Python Jupyter Notebooks. Python Code was comprehensive and enabled easy following. It was immensely helpful as I did not know how to even begin constructing a linear model study, using independent or dependent data.
by ellie c•
The most difficult course in this specification! The most important takeaway point of this course is to understand why we choose any model to fit our data, and how to interpret the model. Don't jump into complex math calculation, we got python to do that for us! Dr Brady did a very good job conveying those ideas to us.
p.s the forum has great discussion posts, make sure to use the forum.
by William S•
I have learnt to applying coding in statistical analysis. I really enjoyed the Week 4 Bayesian Statistics because the use of coding has added new favor to this topic. It makes the study a real science but not something set in the stone (textbook).
by ARVIND K S•
A great course on how to fit models to data. Very rich on theoretical concepts and equally great on the practical aspects of using python to fine-tune your model, viewing the same each time as you modify data. Very fine course indeed
by Bharti S•
I am very thankful to you sir.. i have learned so much great things through this course.
this course is very helpful for my career. i would like to learn more courses from you. thank you so much.
by Alvaro F•
The course is actually pretty good, however the mix between basic subjects (like univariate linear regression) and relatively advanced topics (marginal models) may discourage some students.
by Kylie A•
Just like the other courses in the specialization, very well thought out and planned! Up to date, great professors . . . couldn't ask for more!
by Varga I K•
Great review of machine learning used in statistics finished up with some overview on bayesian math.
Enjoyed very much and learnt even more.
by Camila B V•
Excellent, the explanations were perfect and its theorical focus was the thing why I loved this course.
by Yamala K R•
These whole three certifications lays the foundation for learning Machine Learning a more in-depth way.
by Xinyuan G•
The specialization covers important practical topics. I am glad to have the opportunity to explore it.
by Alexander B•
Overall really great coure that covers a lot of material in a concise way.
by Tarit G•
Excellent course! Thanks to the instructors and the team made this MOOC.
by RODRIGO E P M•
An excellent introductory course to the world of statistical modeling.
by Nicky D•
Excellent course, really enjoyed the section on Bayesian statistics.
by nipunjeet s g•
Very informative and the example
applications are extremely detailed
by Prabakaran C•
Have given me CLearcut idea about Mixed-effects and Marginal Models
by Erhan K•
Especially the part on Bayesian Statistics are very informative.
by Hrishi P•
Great practical applications of statistics with Python!
by DIBYA P S•
good conceptual development , helped lot in learning
by Harish S•
Content of course was good. Some issue with quiz.
Very good instructors and very good workload!
by Debabrata A K S•
Very nice course. Well explained kudos.
by Sumit M•
Very Very Good For learning Statistics
Great course ,I learned a lot from it