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Data Visualization with Python, IBM

4.6
1,061 个评分
131 个审阅

课程信息

"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....

热门审阅

创建者 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.

创建者 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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134 个审阅

创建者 Rajib Kumar Sarkar

Feb 23, 2019

Wow..

创建者 Zhichen Song

Feb 23, 2019

Videos and Labs do not fully prepare me for the final assignment. The course material could certainly expand a little.

创建者 Andrew Foord

Feb 23, 2019

Great course! Last assignment was quite challenging, which meant that I learned a lot from it. Thank you!

创建者 Stephen Peterson

Feb 22, 2019

This course was really well designed. I've taken the preceding courses and I really connected with the format of this course. I liked how the labs really explored different options and played around with the code in a variety of ways to show a more complete picture of what the code instances can do. I especially liked how sometimes the labs would purposely use incorrect code which users might enter, and then explain why that code didn't apply or work for given scenarios.

I liked how the videos (specifically regarding Canada dataset) would repeat the cleansing of the data and introduction of the data for each type of plot because it really reinforced the concept, however it could have been better if the corresponding code were displayed alongside its effects instead of just showing its effects because then it would drive home the code and the concept instead of just the concept.

I also liked the fact that the final project asked students to make connections beyond the individual class scope, as a way of teaching that mimics real-world projects and learning.

创建者 Jyoti Devi Sankhwar

Feb 22, 2019

One of the best course i have studied.It has given me opportunity to learn many things.

创建者 Paul Bastide

Feb 20, 2019

The one that makes you work the most, gets you to learn the most. Kudos on this course. The assignments were great.

创建者 Manivannan Durairaj

Feb 20, 2019

V

创建者 Fish

Feb 20, 2019

confuse in the homework

创建者 Ganapathi Nayak K

Feb 19, 2019

Very good experience

创建者 Alexey Evgenievich Stolpovsky

Feb 17, 2019

Thank you so much for the course! This one is the best out of all series! It is a pleasure to learn with you! Labs are fantastic! Really, I spent a lot of time on them. Course is really exciting and insightful.