Ratings and Reviews for Fitting Statistical Models to Data with Python

My 4th specialization in data science, and the best taught so far.

very informative

too much material, way too little practical examples in python

very good

Especially the part on Bayesian Statistics are very informative.

In this "Fitting Statistical Models to Data with Python" course, you will learn about 1. Variables, multicollinearity, study designs 2. Fitting statistical models to independent data - continuous (linear regression) and binary dependent variables (logistic regression) 3. Fitting statistical models to dependent data - Multi-level models (model fixed and random effects on the intercept and cluster terms) and Marginal models 4. Introduction to the Bayesian Statistics The course covered lecture videos, well-prepared readings, Jupyter notebooks to introduce concepts as well as practice notebooks, lab walkthroughs and quizzes. Brady may speak alittle too fast, especially when it comes to long sentences, so you may need to rewind certain segments of the videos numerous times to revisit some concepts as you reflect and learn. Discussion forums were also actively monitored by a TA who got back to me usually within a day, which helped to unblock conceptual roadblocks quickly. You may encounter some issues with the Coursera platform: 1. Labs may fail to load at times, even after following instructions to restart the machine which your lab runs from 2. Your discussion forum comments may disappear right after you post. Remember to copy your comment somewhere else (e.g. on a notepad) as you may need to refresh the page and post your comment again.

very advance and helpful course

Week 1&2 are done properly. Theory is well presented and coding is enough. Week 3&4 - complete disaster, complete garbage. Throughout the entire Statistics Certification (module 1, 2 and first 2 weeks of module 3) the difficulty is increasing at a slow pace and they make sure to present the knowledge at the same pace. For 3 and 4, they do not acknowledge at all that the difficulty of the topic just skyrocketed exponentially and they just do an expositional dump of 4 videos without any real-life example. What's even worse is that they send you on different websites to better understand - which you do - and than when you come back they teach you something completely new, without any connections. I just wasted a lot of time, and just skipped through all videos, and just trial&error the quizzes, skipped all the practice and assignments as they were imposibil to learn or even attempt. Whoever designed weeks 3&4 should pull down immediately from Coursera and let someone else do a better job. I absolutely advise to stay away from this 3rd module (or at least do the first 2 weeks, if you are not interested in the certification)

While the topics are interesting, like other courses in this specialization, this one does not really teach Python. Rather, it uses it as a tool in prepared notebooks that you can follow along with, but largely need to do your own research to understand the various syntax and variables used. This really is more of a Stats course, where the Python element doesn't add much other than some visuals of how to read results or view charts/plots using Python. It really isn't an integral part of the course material.

this course consist of very important topics , they give you an overview of these topics and you have to dive in . some information hard to understand and other easy . i enjoyed learning this course