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.
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 Gregory R B•
Good, but would like a step by step walkthrough for MAC/Windows when setting up the final assignment to ensure everything is correct.
By Krishna C T•
Good Introductory Class, all though I think some of the videos were too fast. Need to provide more explanation on some of the slides.
By Pedro M•
Nice overview of the conceptual ideas of Data Science and presentation of some practical tools needed to solve problems in the area.
By Ravi S•
Great Insight to data science. More Professional less theoretical. Little more in-depth in R would make course perfect for beginner.
By Saruul A•
very quick course just to get your workspace set up; if you are already familiar with github or rstudio, no need to check the videos
By John F•
On our way to the Data Science certification. Nicely structured format and presentation of lectures, tasks, supplementary material.
By Damon G•
Things got a bit hazy when it came to adding the .md file to our data science repo on GitHub. Other than that I enjoyed the course.
By Hanqi Z•
This is generally speaking a good course. The only problem is that the instructions are sometimes not detailed enough for beginners
By Avinash P•
A great starting. Perfect for providing a foundation. However, instead of slideshow, a few real-time videos would have been better.
This course has given me a basic knowledge of different tools and statistical techniques that data scientist use to play with data.
By Moemen A•
An essential introduction to the rest of the specialization program, but not too much information included in the course by itself.
By Katherine H•
This was a great course to get set-up and an initial introduction to all the important programs and software that interact with R.
By Ansh M•
The introduction to Git and GitHub could have been a bit less theoretical and more practical. Overall, a good introductory course.
I hope the content of this course would cover more materials during lecture. But overall, I am very happy with this course so far.
By Ritu T•
Ideal course to get you started for a data science specialisation. Informs about and helps you install all the required softwares.
Overall, I liked being exposed to Github and GitBash. I felt this course gave me a broad overview of what to expect in the future!
By Umair A K•
Even though the content was good, but this is more like a 2 week course. I finished it in 4 days spending on average 1 hour daily
By Kumari N A•
If you are completely new to Data Science, then this is very good course to start with. All the basics are explained very nicely.
By Marco A R•
Me pareció un buen curso introductorio donde conoces herramientas que se supone te ayudaran en tu carera como científico de datos
By vishal b•
More number of hours are given than required. Good learning for non IT field people. For people with IT background, its too easy.
By Jon b•
A little basic, but necessary to get everything you need set up for the next classes in the series. And it does that well enough.
By Surya P T•
Good course and it's great that Coursera has designed this course separately.
Enjoying the journey of data science with Coursera.
By Alexandra D•
Would have bee nice if it included a bit more "in Git" tutorials, but that is easily figured out when left to one's own devices.
By Nica P•
Great introduction to Data Science and useful tools. The AI voice took some time to get used to, but overall a good experience.