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Data Visualization with Python, IBM

4.6
2,041 個評分
235 個審閱

課程信息

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

熱門審閱

創建者 DD

Mar 03, 2019

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

創建者 RC

Jan 15, 2019

Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.

篩選依據:

235 個審閱

創建者 Ruben Fernando Solorzano Acevedo

May 22, 2019

only course i actually didnt like. incomplete and it was easir if obly send us to cognitive labs directly, the difference is that cognitive labs are free.

創建者 Aditya Jha

May 22, 2019

None

創建者 Ashutosh Patel

May 21, 2019

Best course for understanding the data visualization libraries of python and easily elaborate by sir. Thank you sir for this course, great experience to solve lab practical problems and quizzes and all. Thanks a lot sir.

創建者 Joshua Wulf

May 21, 2019

A lot of the work in the final project was not in the course (in either the content or the lab work). There were plenty of topics covered that could have formed a challenging final project without asking us to do things that we weren't equipped to do by the course. Fortunately, I was able to find what I needed but after putting all of that work into the course and labs, I shouldn't have had to spend as many hours on the final project as I did. If those are things I needed to know, then the content was inadequate. If I didn't need to know those things, the project was poorly created.

創建者 Theodore Griesenbrock

May 20, 2019

Very challenging, especially with the labs.

創建者 Frank Schliephacke

May 19, 2019

To much emphesis in the quiz on terrian tiles - that is something you can look up, seem no reasonable to know by hard.

創建者 Mahvash Nejad

May 16, 2019

More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums.

Thank you.

創建者 Na Miller

May 13, 2019

It is a little challenging. I like it.

創建者 Lingjun Kong

May 12, 2019

I feel grateful for the challenge in the final assignment which help me to grasp the necessary skill sets in a way of learning while doing; a great experience good for the growth of both technique capacity and mental strength.

創建者 Claudia Roberta Combei

May 10, 2019

The course is nice, but there are several issues that could be easily solved:

Some of the notebooks on JupyterLab were not working (e.g. "exploratory...").

On the final assignment page there were some bugs regarding the upload (i.e. question 3)

The videos in week 5 were too condensed and resulted hard to follow.