Mar 01, 2017
A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
Nov 23, 2016
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
автор: Frederic B•
Aug 29, 2017
Very good as going deeper into the details.
автор: Kevin C•
Oct 31, 2017
Well defined strategies for getting a handle on the data analysis process. Short and concise class that hit on relevant points required to be successful in this area.
автор: Abhishek S•
Sep 18, 2017
The course was good but as a suggestion, walkthrough of an example for the modelling would have helped. I was little confused when the equation was used during the course to explain the confounder, predictor and outcome. Instead of using X, Y, Z - may be use an actual example and show they all relate would have made the course
автор: serge a•
Dec 21, 2017
Very valuable, however, in particular the section on inference vs prediction included material not explained before and hard to follow. Also examples with t-values and interpretation of values when adding confounders was difficult to grasp.
автор: JOSEPH A•
Apr 09, 2018
Brilliant course - fantastic overview. What's lacking for 5* is the EDA exercise in R should've been within an R IDE to enable total beginners to get more hands on. After all EDA is mostly about DOING. Hope course designers fix this for the next iteration.
автор: Brian N•
Apr 11, 2018
Good for introduction in Data Science Process
автор: Christopher L•
May 01, 2018
Pretty good, but I would have liked more math. I understand that others would not, but many times one equation can cut through 3-4 paragraphs and be more clear than the text. It can be frustrating knowing that if you just had the equation things would be 100% clear, but with just a bunch of text, you just get a vague idea, for more work, ie reading time.
автор: Jens P•
Apr 11, 2016
Excellent focus on what makes managing Data Analysis teams different from managing managing other teams. This course has the most impact if combined with general management background/classes. Speech fillers, like "um," "ah," "like," etc. prove distracting at times.
автор: TCHUENTE D•
Oct 10, 2016
good course to understand keys questions and methodology to manage each step of data analysis process
автор: Rafael T•
Aug 28, 2017
Course material is fantastic. However, materials could be better presented so that the videos are easier to follow.
автор: Debasish M•
Feb 02, 2017
Data Analysis and the technicalities of getting to the right results and presenting them in a meaningful way
автор: Christos G•
Aug 29, 2017
Very interesting insights and ideas about how to manage Data Analysis, especially the part with the communication. I think there could be some more emphasis on the troubleshooting side, as it overall appeared to be a finite, engineering process which can always end successfully if the instructions are followed closely.
автор: Pranjal S S•
May 20, 2017
Great course for a beginner!. Love the method of teaching and illustration by Robert Peng
автор: Daniel C d F•
Nov 20, 2016
Great course overall. Should only explain better a few related concepts such as the p-value and confidence interval.
автор: Cristian F•
Nov 12, 2017
The topics in the course shows that there is a set of steps to counduct a data science project since the definition of the question to solve to the apropiate way to communicate the results. The content of some videos could be considered technical.
Mar 03, 2017
автор: Ioannis L•
Apr 03, 2017
Some of the videos were a bit fast (too much content), but a very interesting course.
автор: SATISH R•
Jun 02, 2017
автор: Janusz Z•
Oct 04, 2015
It was a great experience a big amount of knowledge in a short presentation. Overall the summary papers are great, however I missed a more interactive videos with more bullets points and etc.
автор: Mohammad H•
Nov 21, 2015
Everything is good except the duration. It could be of three weeks.
автор: Chantelle N M•
Dec 25, 2015
Teaches how to think about a problem more than the specific tools that can be used to solve them. Good practical examples.
автор: Maybin M•
Mar 15, 2016
Very good and quick lessons on Data analysis.
Managers should appreciate this course!
автор: Seyey C•
Sep 11, 2016
Very good... very important...
Maybe too fast for a single week...
автор: Terry L•
Oct 25, 2016
Good overview of the steps and processes
автор: Danny K•
Dec 09, 2017
It's really worthy to take this course. But it seems the materials quite overwhelming