NYU Data Science and Information Visualization Specialization

Knowing the importance of data science and how important data visualizations have become, it is important to be able to understand all the visualization methods. In this specialization, you will be given the opportunity to select the right visualization methods for given data analysis. The instructor is going to explain how you can evaluate the quality of graphs according to their effectiveness and expressiveness. Similarly, you will also learn to create data visualizations using D3.js. Thus completing this entire specialization will give you what you need to understand data science.

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Data Science Specialization Courses:

There are 4 courses in this Data Science specialization, the details of which are given below:

Information Visualization: Foundation (★★★★ 4.6 | 136 ratings | 35 reviews)

The aim of this course is to provide the practical skills and knowledge that is necessary for developing a strong foundation in information visualization. You will learn to design and develop advanced applications for visual data analysis.

Information Visualization: Applied perception (★★★★ 4.8 | 83 ratings | 23 reviews)

In this second course, you will get an introduction to the fundamental concepts of visual perception that are applied to information visualization. All the concepts taught here would help you to ideate and visualize designs in terms of the human perceptual machinery.

Information Visualization: Programming with D3.js (★★★★ 4.5 | 148 ratings | 50 reviews)

If you wish to learn to use D3.js for creating powerful visualizations for the web, then this course is what you need to enroll in. You will be taught to create many different types of visualizations and understand the different data types at your ease and pace. The course will give you the freedom to create simple things like a bar chart using your own revolutionary technique.

Information Visualization: Advanced Techniques (★★★★ 4.7 | 27 ratings | 10 reviews)

In this course, you will get an introduction to advanced visualization techniques that are beyond the basic charts covered in information visualization. You will be given all the necessary guidelines to develop innovative techniques in D3.js and much more in this course.

Specialization Reviews:

In this section, we are going to take a look at the feedback which users have given about the courses of this specialization. By reading comments from actual users, you can easily decide whether or not these courses are worth your time.

Positive Feedback:

• I took the first course in the specialization and would say it was worth my time. I got a great introduction to the basics of information visualization. Even the assignments were very engaging and it took me a lot of time and effort to complete them but it was all worth it. (Eaphy M, ★★★★★).
• I really appreciate the efforts that Prof. Enrico has put into the information visualization foundation course. His lecture videos were so engaging and covered almost all the important topics about data visualization. I think this course serves as a fresh start to all who wish to improve their data visualization skills and knowledge. (Santiago S, ★★★★★).
• The second course of this specialization turned out to be very informative as it had in-depth technical insight into certain aspects of information visualization. What I loved the most about this course was its pace and the way how everything was explained well enough for beginners. The modules were well-structured and everything was to the point. (Ryan JR, ★★★★★).
• I believe the first course of the specialization has great content but not the easiest to follow. Difficult concepts were explained in the course which took me some time to follow. The videos in the entire course were presented in a sequential way. Then came the project which was very exciting and again too challenging. That said, the quality of the course was very great and I would definitely recommend it to all those interested in learning to create beautiful visualizations. (Saif R, ★★★★★).
• The information visualization applied perception had been a great contribution to this specialization. But I believe some of the topics were dragged for no reason and that is why it became a little difficult to concentrate. (Vishnu S, ★★★★☆).
• This information visualization programming with D3.js has to be the best course on the web right now. It was beyond my expectations and the way the instructor has used JavaScript ES6 information was too good. (Mathieu L, ★★★★★).
• I only took the third course from the specialization and would say it was a good one. Well, I didn’t do any exams because I am too lazy to do anything challenging. But I must admit that I learned a ton about what data visualization is. Only because of this course, I am now able to directly apply this knowledge at my job. (Josef S, ★★★★★).
• I took the last course from the specialization and really liked it. This course has covered advanced graphics and visualizations efficiently. Other topics like visualizing geographical data, temporal data, network data, and interactive visualization with multiple views. What I loved the most about this course is the vast quantity of examples reviewed and also the assignments. Overall the entire course was perfect for me. (Santiago S, ★★★★★).
• I really enjoyed the lectures on the information visualization advanced techniques. The professor has done an amazing job by delivering all the relevant information, his teaching style was also very acknowledgeable. The slides were very good and well formulated and easy-to-understand. (Jafed EG, ★★★★★).

Negative feedback:

• The first course in the specialization had a lot of issues. I really thought it would be worth my time, but there were many topics missing like data validation, the use of independent and dependent variables for preparing graphs. (Joseph LP, ★★★☆☆).
• The third course didn’t meet my expectations. His accent was fine but the pronunciation of many English words was bad enough to distract me from following the lecture. (Adil L, ★☆☆☆☆).

Alternatives:

Data Visualization with Tableau Specialization

• University of California Davis via Coursera
• 6 months (3 hours weekly) of effort required
• 65,303+ already enrolled!
• ★★★★★ (8,899 Ratings)

Data Visualization with Python

• IBM via Coursera
• 18 hours of effort required
• 106,430+ already enrolled!
• ★★★★★ (8,820 Ratings)

Final Thoughts:

So these were the details and reviews of each of the 4 courses in the specialization. What you need to do next is read them carefully and then decide which course is suitable for you and then enroll accordingly.