(243 Reviews)
(1056 Reviews)
LR
Sep 7, 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.
SF
Apr 14, 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.
By Gabriela A
•Aug 19, 2020
Excellent course, I learned so much in such a short time. You can tell that it is one of the best universities in the world.
By Matheus E
•Jun 28, 2020
It's an introductory course, it will teach you the basics and secure a solid foundation. It's very well done and structured.
By Krishanpal S R
•Apr 23, 2020
The course was well designed with every content clear with all concepts.I liked the course and hope this adds well to my CV.
By Damilare M
•Jan 8, 2020
The course is really interesting and educative. Though it's a starting points,but I want to make use of it in public health.
By John N
•Mar 18, 2019
Overall great starting course!! I feel that it would be better to have someone to lecture to you instead of a voice machine.
By Igor B
•Mar 27, 2018
Good to understand the first concepts about the course and the tools that will serve to introduce ourselves into the course.
By Dawn C
•Jan 21, 2016
Great course in getting set up to take the following courses in the Data Science Specialization. Class went at a reasonable
By Tanushree S
•Sep 7, 2020
I was able to understand it easily, and I feel that I have learned all the important data tools needed to continue further.
By Diya J
•May 20, 2020
Gud but please update the course structure and make it more user-friendly
Also make the instructions further more in clarity
By Jhon A R G
•May 9, 2020
Es un muy buen curso introductorio, muy buenos textos y actividades.
Se puede observar que hay un gran equipo tras el curso.
By Arunan E
•May 6, 2020
Though the voice was hard to get used to, it was easy to understand and learn the concepts. The course was very enjoyable!!
By Caryn Y
•May 1, 2020
Instructions to set up R and everything necessary for the course were very clear. Lessons were engaging and easy to follow.
By Aécio L
•Apr 22, 2020
Curso excelente, que fornece uma boa visão inicial das ferramentas e passos iniciais para o candidato a cientista de dados.
By Muntakimur R
•Nov 6, 2019
Well designed course and Have learned a lot about data science and also knew about the tools that are used in data science.
By Sanjay L
•Sep 25, 2017
Very helpful course that gave insight into Data Science Specialization. Sets you up for next courses in the specialization.
By João F
•Aug 21, 2017
The content regarding Git and GitHub was interesting and new for me. Great introduction to the Data Science Specialization.
By Francesco I
•Jun 11, 2017
Excellent, very exhaustive and challenging! I warmly recommend it to everyone interested in starting a data science career.
By Sandeep A P
•Sep 30, 2016
Really very helpful course for understanding the steps and tools required to explore the innovative field of data sciences.
By Jonah E
•Mar 16, 2023
Great course that teaches many things about the data scientist. Very good for beginners. I learned so many things from it.
By Jeyamalar P
•Jun 10, 2020
Great learning from scratch for a beginner like me. Thank you very much John Hopkins University and all Instructors too :)
By Parikshit S
•May 4, 2020
This is a great introductory course for beginners. I especially found introduction to Github and R Markdown really useful.
By MD S B
•Apr 29, 2020
Good content, taught a very important part required for any developer, (integration of github with Rstudio). Thanks a lot.
By Abhinav M
•Mar 22, 2019
Easy to learn and follow, definitely would recommend to anyone wanting to wet their feet in the ocean that is data science
By Ekaterina S
•Oct 28, 2018
The course was very usefull and interesting. It was a good start, I hope it helps me a lot to move forward in this matter.
By Jay B
•Feb 26, 2018
A good primer to getting started working with data science tools and understanding approaches to tackling your own studies