Rafael Irizarry
As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States. We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data–driven findings, motivate analyses, and detect flaws. This course will give you the skills you need to leverage data to reveal valuable insights and advance your career.
Instructor Details
Courses : 7
Specification: Data Science: Visualization
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4 reviews for Data Science: Visualization
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| Price | Free |
|---|---|
| Provider | |
| Duration | 12 hours |
| Year | 2020 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
Kurp –
I loved the first course in the series (R Basics) and this one is the second in 9 courses Data Science program from Harvard. Once again the course is engaging, the videos are interesting and ggplot2 library selected for data visualization is probably the best R tool available.
However I didn’t like how assignments are made. Excercises are based on quite complicated pieces of code, not always clear and not always clarified properly during the course. There is a lot of doubts and Discussion Forums are full of people who written code meeting all conditions and still not accepted by algorithm. I hope the next course in the series will be a bit better balanced.
Kurp –
I loved the first course in the series (R Basics) and this one is the second in 9 courses Data Science program from Harvard. Once again the course is engaging, the videos are interesting and ggplot2 library selected for data visualization is probably the best R tool available.
However I didn’t like how assignments are made. Excercises are based on quite complicated pieces of code, not always clear and not always clarified properly during the course. There is a lot of doubts and Discussion Forums are full of people who written code meeting all conditions and still not accepted by algorithm. I hope the next course in the series will be a bit better balanced.
Claudia Scwz –
This course is the second in Data Science Professional Certificate provided by HarvardX. So far the courses are very good and I’m eager to start the third one, as soon as it’s made available.
I do have some knowledge in other programming languages that I had to learn in college, but programming isn’t my strong suit. With this background, I found the difficulty level adequate, since some pieces of code are provided, which gives a sense of comfort until you get the hang of writing the codes yourself.
The best in this course are the exercises provided: the themes are interesting and the proposed activities are relevant (I mean, I have been taking other courses while waiting for the remaning content of the program to be uploaded, and there you do learn the same functionalities, but by playing around with data in a unstructured way, that doesn’t provide a meaninful data analysis).
Luiz Cunha –
This is the 2nd Course of the Data Science Specialization from HarvardX.
It is mainly about using R ggplot package and tidyverse to learn about all the powerful graphical capacities of R language.
Not theoretical, nor about programmation, this Course is quite interesting and practically oriented: you get a lot of practical knowledge in a minimum amount of time and effort.
The satisfaction with this Course leads me to take the other ones in the Specialization