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.
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.
автор: Joan S D C H•
Sep 06, 2019
Es un buen curso. te lleva de la mano pero no te da todo digerido en cierto momento debes buscar alguna solución para las tareas que te piden pues por razones de versiones ya no funciona igual.
Sin embargo el contenido temático es lo importante y me pareció perfecto.
автор: Richard E H•
Apr 27, 2018
A good introduction to analytical processes and tools. The course by itself, however, is only a first step. I find many threads begun but not tied together. I anticipate that the remaining nine courses will expand and consolidate everything opened in this course.
автор: Mark K•
Jun 14, 2020
The course is great at explaining the preliminary steps for setting up an R development environment and describing the basics of data science. Videos were paced well, not being too short or long, which allows the viewer to stay focused and interested. Recommended.
автор: Rajat A•
Jul 13, 2020
Very well paced course with a well structured approach to the toolkit. I would encourage people to take this course to get a hang of the basic working environment. It works even better if you already have a strong foundation in Statistics, and Research Methods.
автор: Kevin C B C•
Nov 06, 2017
A very eyeopening introduction to the discipline of Data Science. Hope this prepares me for R programming soon. :) I also realized how relevant this is today especially in the sciences, wherein one must have a good grasp in programming as an aid for research.
автор: Roberto A•
Mar 11, 2017
I found this intro course really useful as a warm up and to get into the "data scientist's mindset". The only (minor) point for development is to devote more time to Git and Github, as some of the steps were not particularly straightforward. Well done though!
автор: Eduardo d S A•
Feb 07, 2017
I really loved the course. My peers were amazing. They always help and when they review your project they make sure that you will understand what you did wrong, explaining why and how you might gei it right the next time. Mr. Peng you are amazing. Thank you!
автор: Sandra N•
Aug 22, 2016
This is a fantastic way for individuals to get a leg up if they want a competitive edge in an ever-changing scientific environment. It is important to be able to use certain programs and code to some degree in order to be competitive using today's technology.
автор: Drew W•
Aug 24, 2019
The course was well put together and documented. My only critic is that I would like the lecturer to go over Git and Github more thoroughly as I had to do some extensive outsourcing to be able to figure out how everything worked. Overall, a very good course.
автор: Saurabh C•
Jun 09, 2016
Best in it's Class. Short but so much descriptive with a constant effort to deliver high quality teaching with easy understanding language and concepts!
It's highly recommended to those who are new to Data Science, and want to make their Base strong( like me)
автор: Michael A C R•
Jun 24, 2020
Fue excelente la metodología utilizada para guiarme por este curso de manera introductoria. Comenzando desde la instalación de los programas, hasta la utilización de los mismo. Realmente para quien no conoce nada del tema y está muy interesado es muy útil.
автор: K S K•
Jun 03, 2020
This course provides great insight into the use of Data Science and its future applications in the field of science and technology .
The course also provided brief and necessary tutorial to use the R software which was of great help.
Thankyou and Great job!
автор: Rabindra T•
Nov 27, 2018
Really nice intro to the set of tools to be used. Step-by-step instructions. It might be useful to have it called out that versions may change, but the basic video instructions will not. There were slight updates that made things look a little different.
автор: Samia S•
Aug 05, 2020
Very helpful way to start using R! I wish I had done this class before my masters course which utilizes R, I learned so much that Is helpful! I don't really like the AI recorded voice, the Inflections are a bit weird sometimes, but the content is great.
автор: Renald J B L•
Apr 21, 2020
Good quality content and desirable startup content. However, there were some errors produced by the text-to-speech program/presentation (e.g. difference between words in the transcript and video, mispronounced words, and subtle mistakes in the subtitle)
автор: Joe D•
Feb 20, 2019
An excellent introduction to r, rstudio, and the basic concepts and functions of github (online version control for personal or collaborative programming projects). Great course, informative videos, lots to do and experiment with, I highly recommend it!
автор: Rahul G•
Jun 24, 2016
Extremely helpful. It was detailed and at the same time brief, made sure I am able to connect with the content and learn in ways that will be useful in career.
Also, the exams and exercises made sure that my concepts are deep rooted into me.
автор: Ahmed M•
Feb 11, 2016
Pretty easy and straight froward, for someone who is already familiar with Programming Editors, and Git shouldn't take 2 hours for him to finish this course including its project, so I guess it's an exciting start for someone who is new for Programming.
автор: Andrés F N A•
Jun 09, 2020
This course allowed me to understand the relationship between codes, repositories, version control and especially with RStudio to discover the infinite possibilities of using R and the knowledge received in the course of safely undertaking data science
автор: John A R B•
Aug 13, 2016
In this course was proposed the outline of the specialisation, showing in a practical and interesting way some of the principal points in the path to be a Data Scientist, I was wondering by the exposition and decide to finish the whole specialisation.
автор: Jessica M•
Nov 05, 2018
This was a very informative course and a good start to the Specialization. The course project I found to be very challenging, only because I am not familiar at all with Git and it took me a long while to figure out the right commands to perform tasks.
автор: Felicia S•
Apr 06, 2020
Some people might say that it has lots of theory, but I find that the theory is delivered in a way as succinct and impactful as possible within the short video time. Do read the written material to understand the intricacies of the in-material jokes!
автор: Dev P•
Oct 25, 2019
Great introduction into the world of R! I have been completing this alongside the R Programming course and found the two go well together. Interesting to learn about version control and utilising Github, which I am sure will be valuable in the future
автор: Meihan L•
May 16, 2018
4.5/5. For a total beginner of data science, sometimes the lecture is hard to follow so I have to resort to several youtubes videos to complete the project. But the lecture is informative and well-structures, and the forum is very helpful. Thank you!
автор: Juliana C•
Oct 06, 2017
This first course of the specialization is extremely important for people like me who do not know nothing about programming, coding, computer data, etc.
When I completed the course, I was more confident to continue with my idea to start a new career.