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.
автор: Vijay P•
Gives an excellent overview to Data science course and what it take to become a Data scientist. Well organised videos and instructions
автор: Diana R•
AI voiceover isn't the best but I understand why it's used. On the heavier sections it would mispronouce commands and go too quickly.
автор: Enrique E•
When describing steps to follow in R studio, or to link to Github, the video is impossible to follow, and the wirtten form is better.
автор: Marc-Antoine G•
Pretty basic (from a software developer perspective) but can see the utility for newcomers to programming and informatics in general!
автор: Suwei W•
This is my first data science class. I learned something about the tools, hopefully I will find them useful in the following classes.
автор: 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.
автор: 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.
автор: Pedro M•
Nice overview of the conceptual ideas of Data Science and presentation of some practical tools needed to solve problems in the area.
автор: Ravi S•
Great Insight to data science. More Professional less theoretical. Little more in-depth in R would make course perfect for beginner.
автор: 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
автор: John F•
On our way to the Data Science certification. Nicely structured format and presentation of lectures, tasks, supplementary material.
автор: 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.
автор: Hanqi Z•
This is generally speaking a good course. The only problem is that the instructions are sometimes not detailed enough for beginners
автор: 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.
автор: Moemen A•
An essential introduction to the rest of the specialization program, but not too much information included in the course by itself.
автор: Danny N•
A great introduction course to the world of data science, Github and R programming. Easy for a beginner like myself to understand.
автор: 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.
автор: 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.
автор: 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!
автор: Sehrish A•
Course was very good and informative but the speed of voice in videos was very fast. In the start it was difficult to understand.
автор: 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