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 24, 2018
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
par Peleise S•
Nov 19, 2018
This is a wonderfully productive introduction to the Data Scientist Specialization. The course and materials are clearly organized, and the tools needed were easy to find and the final assignment was very practical.
par Kevin M•
Jan 03, 2018
This course is a great "get your feet wet" introduction to data science. If you're thinking about becoming a data scientist or are simply curious about the profession, The Data Scientist's Toolbox is a great start!
par Deleted A•
Aug 15, 2019
Well structured, enjoyed mix of content and regular quizzes. Peer review was my first experience of this - love the idea! Clever and appropriate use of voice technology - food for thought for my future projects!
par Aymen A•
Nov 05, 2018
A bit on the speedy side, I hope things will be explained slower and in details in the next 9 courses, however, I cannot complain about the quality of the lectures, they are surgically precise and always on point!
par suresh b•
Sep 18, 2017
This is one of the best platform to get into the data science field. As a fresher i learned a lot from coursera.
I did this course and got a knowledge on this field it's really amazing to be a part of this course.
par Aman G•
May 04, 2017
The course gradually introduces you to new R concepts in a natural manner. I highly recommend the Swirl exercises. Nothing beats exercises that have you actually coding yourself instead of watching just videos.
par Marvin G W•
Dec 01, 2019
Basic intro but good material and refreshers. Git lesson is great for those of us that haven't been in that environment for a while or have never been there to start with. Looking forward to the next course!
par Azhan A•
Mar 17, 2018
Awesome course! I would say, I was dreaded github, it never made sense to me but now I know what it is, the course covers super basics and I recommend everyone who is new to data science or even new to coding.
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 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 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 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.