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Python Data Visualization

Python Data Visualization

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8.9/10 (Our Score)
Product is rated as #78 in category Python

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.

Instructor Details

Scott Rixner is a Professor of Computer Science at Rice University. His research focuses on systems software and computer architecture. He is well versed in the internals of the Python programming language, as he is currently developing a light-weight Python interpreter for embedded systems in his research. He has also taught many of the introductory computer science courses at Rice, including Computational Thinking, Algorithmic Thinking, Introduction to Program Design, and Introduction to Computer Systems. He is the chairman of the curriculum committees for both the Department of Computer Science and the School of Engineering at Rice. Prior to joining Rice, he received his Ph.D. from MIT.

Specification: Python Data Visualization

Duration

8 hours

Year

2017

Level

Beginner

Certificate

Yes

Quizzes

Yes

23 reviews for Python Data Visualization

4.3 out of 5
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  1. Frank S

    Great Course. The assignments are deliberately designed. They are very interesting and practical.

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  2. Hao–Wen S

    A challenging and rewarding specialization – thank you Joe and Scott!

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  3. Chris

    Not a lot of help from mentors/instructors –– you are pretty much on your own when it comes to figuring out what the expectations of the projects are. The videos cover (very) basic material and you end up spending the majority of your time in the specialization on STACK OVERFLOW. There are no examples of what’s expected for output of projects and you are at the mercy of the computer grader to try to figure out why your code doesn’t work –– a lot of time despite what appears to be the correct output at your terminal. And the discussion forums are trolled by the students –– and probably the mentors –– but it may take 7 – 10 days to get a response to a question –– of any response at all. And to be honest, the few responses I received were in the realm of “This is so easy, why don’t you understand it?!” And there is no final –– or instructor generated code –– to compare to yours at the end of each project to get some feedback on how you’re coming as a coder. Overall, a frustrating experience that honestly could be made better if some examples of input and final code were provided for the projects. This is NOT for the beginning coder w/o some Python experience.

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  4. Ron H

    Awesome course! From 0 to hero 😀

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  5. ADYA S

    Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.

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  6. Kristoffer H

    Focus more on Python dictionary skills rather than learning to use matplotlib, Bokeh or Seaborn libraries.

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  7. Abdurrachman

    Not interesting

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  8. Mads J K H

    At times a bit tough if you want to fully understand all parts of the “basics”, but highly worth it

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  9. Ganapathi N K

    Nice

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  10. Eduardo P

    Courses projects were more difficult than expected. The course does not give enough examples about topics. Examples, if given, are way more easy than the assignments and do not prepare you well for the weekly projects.

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  11. Chujie C

    Finished on 05/20/2018

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  12. Shan G

    The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.

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  13. Kiran K

    It has been a while since I programmed. however, throughly enjoyed the depth of the course

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  14. Fil G

    Great introduction to Python visualizations. The assignments are challenging but relevant and echo real world problems you might encounter.

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  15. Joanne H P C

    Very good introduction into using Python for data visualization – it helps me to better understand how data can be presented to aid myself and management to make better decisions when data is presented clearly and accurately.

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  16. Sebastian R S

    I went though all of the Specialization program and I totally recommend it. Awesome courses, the 4 of them, challenging projects and great material and classes from both Scott and Joe.

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  17. balaji

    good

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  18. Kilambi B

    The course has been well structured and the assignments are quite challenging which means you would definitely be spending your time on stackoverflow/google but this is how one can learn to code. It’s difficult to trach each and every detail. However, couple suggestions i can make –1.) It took a very long time to understand the problem statements in the projects. It would be great if more information is provided on what is the exact input and expected output (instead of being verbose if an example function call is given it would be more helpful). 2.) The code i had written for the assignments even though they work i wasnt sure if they are optimized enough. If any inputs are provided on this it would be good to compare our code with the optimized one and can improve our skills further. Overall a very informative course. I would recommend this to anyone who wishes to master the basics of python data structures and their manipulation.

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  19. Aleksandar A F

    the last part of the project was really frustrating, not sure if overcoming frustration amounts to new skills 😀 I have managed to learn a lot from this specialization, thanks! please add some more tests to the final final project as I spent 3–4 hours looking at the wrong place (unless the goal was to trap me, which would be evil!!)

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  20. Lise S E

    Really well planned set of 4 courses, that have given me a good basis knowledge and have given me an appetite for further learning on Python

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  21. Miguel G

    This was an interesting course to learn both about Python and Data Visualization. Although it’s made for beginners, it’s very challenging because you have to search external documentation to complete the tasks each week and the answers are never presented to you… you really have to work to find the correct solutions. The provided tools to test your code are crucial and more than enough so you can finish the course and learn about this amazing field. I definitely recommend this course!

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  22. Onedio S S J

    Congrats!

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  23. Arash

    the course needs to be more through in describing the modules

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