A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.
Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.
von Rorie D•
great approach, thanks. A few typos, but otherwise great.
von Navneet W•
On of the best courses of Data science on Coursera.
von Brian N•
Good for introduction in Data Science Process
von Paul C•
A solid course with lots of practical advice.
von Paulose B P•
Short session need more handson excercise
von JERRY O•
Good course with vibrant instructors.
von SANTOSH K R•
More real world examples are required
von Hubertus H•
Good summary on experimental design.
von Nachum S•
Good, a bit long for the material.
von Setia B•
I really enjoyed the course :)
von Jeffery T•
Good course for managers
von Angel S•
Pretty useful course
von Venuprasad R•
Very practical views
von Rui R•
Too much theory ...
Nice course 👍
von Deepa F P•
von SARMAD H•
von ECE- R G•
von SATISH R•
von Luis A S E•
von David T•
Some good tips, nothing terribly new for those who have had a course in statistics. Materials made easy to digest. The variety from the 3 instructors was nice. Missed opportunity: to combine the best aspects from each. The course notes were either excerpts from R.Peng's books /blogs (good) or automated transcripts (complete with typical AI typos... "wait" instead of "weight"). Some lectures were repetitive from one course to another. Slides with examples were useful, slides with clip-art and comic stips less so. Tries to be something for everyone. Would be better to aim either at former DS analysts aspiring to be managers or seasoned managers trying to better understand DS.
von Ruben S•
Brian tries to achieve too much in too little time. It addresses important issues and it gives a good overview, including some hidden gems (Machine Learning vs Stats, for example), but it feels mostly too rushed and superficial for my taste/expectations, and it fails to connect to my previous knowledge (and I have a PhD in Maths, although no strong Stats background), hence little added value for me when I cannot relate to what is being discussed.
von Rajeev R•
Lectures themselves were OK, but presentation needs work. Intro session was very repetitive. Lot of jargon introduced without explanation. Pop-ups w text showed up but disappeared before I was able to finish reading them. Best part of course was actually the text notes at the beginning of each sesssion. A minor nitpick: course description suggests that there are 3 instructors presenting, but I only saw one.