Sep 08, 2017
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
Apr 15, 2020
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
Apr 16, 2018
Very basic stuff - if you've ever done any coding before & have even a rudimentary knowledge of Git/Github - you can skip this course.
by Ennio D L•
Nov 21, 2017
Una introducción interesante y valiosa para los interesados en incursionar y tener a la mano las herramientas básicas de Data Science.
by Manasvita J•
May 07, 2017
A broad overview of a vast subject. It gives its students a good platform to get started on learning the nitty-gritty of Data Science.
by Vijay P•
Apr 17, 2017
Gives an excellent overview to Data science course and what it take to become a Data scientist. Well organised videos and instructions
by Marc-Antoine G•
Apr 19, 2019
Pretty basic (from a software developer perspective) but can see the utility for newcomers to programming and informatics in general!
by Suwei W•
Oct 07, 2018
This is my first data science class. I learned something about the tools, hopefully I will find them useful in the following classes.
by Gregory R B•
Jun 19, 2016
Good, but would like a step by step walkthrough for MAC/Windows when setting up the final assignment to ensure everything is correct.
by Krishna C T•
May 22, 2016
Good Introductory Class, all though I think some of the videos were too fast. Need to provide more explanation on some of the slides.
by Pedro M•
Nov 03, 2019
Nice overview of the conceptual ideas of Data Science and presentation of some practical tools needed to solve problems in the area.
by Ravi S•
Jul 05, 2019
Great Insight to data science. More Professional less theoretical. Little more in-depth in R would make course perfect for beginner.
by Saruul A•
Dec 18, 2017
very quick course just to get your workspace set up; if you are already familiar with github or rstudio, no need to check the videos
by John F•
Sep 13, 2017
On our way to the Data Science certification. Nicely structured format and presentation of lectures, tasks, supplementary material.
by Damon G•
Mar 08, 2017
Things got a bit hazy when it came to adding the .md file to our data science repo on GitHub. Other than that I enjoyed the course.
by Hanqi Z•
Jul 13, 2017
This is generally speaking a good course. The only problem is that the instructions are sometimes not detailed enough for beginners
by Avinash P•
Jun 24, 2016
A great starting. Perfect for providing a foundation. However, instead of slideshow, a few real-time videos would have been better.
Jun 07, 2016
This course has given me a basic knowledge of different tools and statistical techniques that data scientist use to play with data.
by Moemen A•
Mar 05, 2016
An essential introduction to the rest of the specialization program, but not too much information included in the course by itself.
by Ansh M•
Nov 30, 2017
The introduction to Git and GitHub could have been a bit less theoretical and more practical. Overall, a good introductory course.
Jul 03, 2017
I hope the content of this course would cover more materials during lecture. But overall, I am very happy with this course so far.
by RITU T•
Nov 06, 2016
Ideal course to get you started for a data science specialisation. Informs about and helps you install all the required softwares.
Jun 01, 2016
Overall, I liked being exposed to Github and GitBash. I felt this course gave me a broad overview of what to expect in the future!
by Umair A K•
May 08, 2020
Even though the content was good, but this is more like a 2 week course. I finished it in 4 days spending on average 1 hour daily
by Kumari N A•
May 21, 2017
If you are completely new to Data Science, then this is very good course to start with. All the basics are explained very nicely.
by Marco A R•
Nov 16, 2016
Me pareció un buen curso introductorio donde conoces herramientas que se supone te ayudaran en tu carera como científico de datos