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.
par Venkata D•
Nov 06, 2017
This is a very valuable course for the biology or health research background students or scientists who have great interest in data and analysis can learn and explore newer skills. Very well structured course.
par Dasarathan S•
Sep 17, 2019
All information given in this course is very basic overview about Data Scientist. It covers basic requirements at macro level and helped me to understand what is Data Scientist. Great course to start with it.
par John S•
Jul 15, 2019
Most helpful for those who don't exactly know what they are doing and need help setting up R, R Studio, GitHub, and Git. Be warned, o actual programming here. However, I definitely appreciate what I learned.!
Feb 15, 2017
It's really a great introduction to know the very basic things of Data Science. This course will be useful in setting-up the required tools of R programming on your computer. For the beginners this is a must.
par Nischal S•
May 01, 2020
The contents of the course were excellent, and every bit of instruction was to the point. The idea of providing the text version of the video was apparent. The voice of the narrator could be a little better.
par Sruhith K•
Oct 23, 2019
I loved the support of the Coursera, throughout this course and the way of unfolding a course all the way through till the end!
Really loved each and every aspect of the whole cream.
Thanks and love, Coursera!
par KHANGJRAKPAM A•
Jan 05, 2020
It was an amazing course. The versioning of code during development is something that Data Scientist new to the trade are unaware of . It was good to have this knowledge of how to do versioning through Git.
par Darcy L•
Sep 13, 2018
Nice balance between giving me the info I needed to complete the course and homework and providing links to materials and suggestions on how to find answers that were not explicitly covered in the videos.
par Álvaro G•
Jul 17, 2017
I loved this class. The lessons were concise and very well planned, the information clear and easy to grasp and it gave me a very good perspective of what the rest of the specialization is going to entail.
par Senthil K M•
Nov 11, 2016
Impressive explanation on the subject., Freshers with no knowledge about the domain can easily understand the subject. Thank you so much for such a fantastic MOOC mode of learning possibility. Love it all.
par Priyanka K•
Jun 30, 2016
Thank you so much for the great course! Looking forward to taking the rest of the classes in the specialization. I really love the GitHub info, lectures overall, as well as the Textbooks you have provided.
par Nnamdi V E•
May 14, 2020
This course is wonderful. Very detailed.
My main concern with MOOCs is the data consumed by videos but the videos here are so light. I don't have to worry about the size and I played them more than once.
par Sohan A•
Jan 06, 2020
A well structured course. At first you feel like there is nothing interesting but later on, I enjoyed this and boost my confidence. Only minus point was sound in video, it should have been real persons'.
par Robin F•
Oct 12, 2018
This course will probably be too easy if you already know about data science but it is perfect for neophytes who do not have the tools and the codes of data science yet. I strongly recommend this course!
par Christian S•
Jan 12, 2020
I've been using SAS and Visual Basic as primary data manipulation tools from my very first job to date. I wanted to learn R/RStudio and this course provided a very good introductory learning experience.
Mar 30, 2019
A great start to the world of data science. Love the idea of duplicating videos with text courses. I'm saving all texts to a folder for future use - this is a gold mine! Great job on the course, people!
par Ishtiak A•
Jan 07, 2018
This a a nice introductory course for approaching data science domain. The instructor and course materials are very good to understand the basic concepts of the tools required for data science projects.
par Deleted A•
Nov 12, 2017
Really impressed with the completeness of the learning environment. I would rate this more highly than a traditional classroom because of the interaction and opportunity to go over concepts repeadedly.
par Zahscha G•
May 25, 2020
I enjoyed the format of this course. It was a good quick introduction to some Data Science concepts, R, and Git. I liked that the same material was available in video/audio as well as reading material.
par Anshu S•
Dec 20, 2018
This is a very important courase for the basics of all the software, tools and concepts regarding Data Science. I learned a lot with this course and the lecture is quite sufficient for the basic of it.
par Clifton H•
Oct 16, 2018
Straightforward and the tasks aligned well with the instruction. Examples were used to good effect. Highly recommend using the course forums if you're stuck on a problem (especially the final project).
par Geetanjali B•
Sep 03, 2016
This course helps people attain the basic knowledge of the tools that are to be used while creating scripts. It also emphasizes the value of community feedback, which helps us learn in a better manner.
par Amit k•
Mar 12, 2020
I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.
par Nishank B•
Jun 03, 2017
Nice Course. Basics are very well taught in this course.
Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.
par Darek G•
Jun 13, 2017
Pretty easy, and never felt like it was a struggle to find the information that was needed. Basically a setup course for out things you'll need for the likes of R Programming and Data Science work.