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Data Visualization with Python, IBM

4.5
Оценки: 504
Рецензии: 72

Об этом курсе

"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....

Лучшие рецензии

автор: LS

Nov 28, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.

автор: RL

Aug 08, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

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Рецензии: 73

автор: Guy Pollack

Dec 10, 2018

Very good course but labs contained many typos which were sometimes confusing

автор: Andy Li

Dec 04, 2018

Very useful not only on data science filed, but also any filed

автор: Slim Said

Dec 02, 2018

No documentation, no summary

автор: VASILEIOS MAGKLARIS

Nov 28, 2018

Thank you!!!

автор: LEOPOLDO SPRANDEL

Nov 28, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.

автор: asher belles

Nov 27, 2018

Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.

автор: Serdar Mamiyev

Nov 26, 2018

more explanation on functions' and methods' parameters needed

автор: Yanis Bousdira

Nov 25, 2018

Great course except of the final assignment being based on a deprecated or soon to be deprecated version of Folium Choropleth implementation. Please review that part as it could be very confusing to students that do not use cognitive class as their development environment.

автор: Alistair James Windsor

Nov 24, 2018

This was the most challenging course thus far in the IBM Data Science concentration. The quizzes are as simple as the earlier courses but the final programming assignment is much less cookie cutter and required substantial reading of the matplotlib API. As a result I think it took longer and I learned more than in previous courses.

автор: Mbongeni Ndabenhle Mahluza

Nov 22, 2018

This course was thorough. However, we could have been prepared better for the final assignment. I had to rely on the internet a lot to complete it. I don't know if that was intentional. If it was, then it should have been stated explicitly. Otherwise, well done and thank you!