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.
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.
by SET S M•
Muy bien explicado y muy útil para vincular github con R asi como las bases de R para poder hacer operaciones, muestras y un pooc de analisis descriptivo
by Inés M•
Es un curso muy completo. Al principio puede ser un poco complicado para principiantes como yo, pero si te lo tomas en serio se puede aprender muchísimo.
This course is very easy to follow, even for a first-timer like me. I recommend it to everyone who wants to develop their basic skills in R data science.
by Larysha B•
A perfect introductory course to get started with R and data analysis - simple enough to not lose interest or momentum but with all the relevant content.
by Joey C•
informative and detailed.explained simply and efficiently by the lecturer.for someone with bad learning difficulties it was easy to follow and understand
by Rohit k•
A wonderful course to get you started on getting the basic tools and packages of R installed on your PC. Highly recommended for first time learners of R.
by Michael O I•
Love the exposure to Command Line Interface (CLI), Git, Gitbash and R. Will recommend it to anyone that wants a career in any computer/mathematics field.
by PRAKASH K•
This is the best possible start a person can get in the field of data science.
I was worried about how i would get off to a good start.
Thank you mentors!
by Lee E•
Great and helpful course to get started with R programming. Highly recommended for someone wanting to get in to R and understand how the language works,
by Guru P•
I found this course to be very useful in shaping my analytics career. Many thanks to coursera for provinding me the financial aid to pursue this course.
by Connor B•
Very nice to receive such an in-depth overview of the entire course before starting. Also: great instructions on how to get help, I'm sure I'll need it!
by Bruno J d C F•
This course is very helpful! It gave all the tools and showed me what to study and practice to become a data scientist. It is a very good way to start.
by John A•
Includes very basic stuff like setting up a github account, installing software etc: so I guess that's great if thats' not something you've done a lot.
by Chandra N•
Excellent instruction, step by step coverage of topic in easy to understand terms. Support study material is very good and useful for quick reference.
by Dhumil A•
Wonderful tools were taught. Good course. The presentation of the tools was appropriate to get started quickly with these tools. Thank you Instructors.
by Andrés D C•
Excellent, for professionals like me, this basics concepts help us a lot to be involve in the process to understand and manage the Data Science world.
by Anantaraman L•
A step-by-step guide which helps beginners understand the course content. It has helped me develop an interest in completing all the relevant courses.
by Garlapati A•
Its good platform to learn new skills.Everything is understandable.we can learn so much through this .its a good platform for begineers also.Thank you
by Alicia F•
It is great at offering multiple ways of delivering the necessary information to be successful in the course. It allows you to go at a managable pace.
by manuel s g•
Nice kick off for this program where you get all the tools needed to work along the program. Install and configure the tools is really well explained.
by YUQING Y•
Brilliant lecture! After this I have got a general idea about what I need to learn to become a data analyst. And the lecture's quality is pretty high.
by Eduardo M L•
An excellent introduction to Data Science. A must to all newbies - the course is engaging and full of real examples. The readings are a must, as well!
by Gisela L L C•
Really good, with basis for the next steps in statistics. For me the most interesting thing is the Github software and it functions and possibilities.
by Thess A H•
A good intro course - however, it's up to one's own initiative to work independently in order to test out what you've learned from the video lectures.
by Asima M•
Brief overview of the basic requirements to start with Data Science on this course. Much recommended if you want to grow your career in Data Science.