Chevron Left
返回到 Data Visualization with Python

學生對 IBM 提供的 Data Visualization with Python 的評價和反饋

4.6
7,098 個評分
913 條評論

課程概述

"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

SS

Nov 21, 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

RS

Jan 08, 2020

This course gives very well knowledge about different types of visualization techniques and helps to start with visualization. Coursera provided an amazing course with an amazing instructor.

篩選依據:

726 - Data Visualization with Python 的 750 個評論(共 905 個)

創建者 Courtney G

May 15, 2020

The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.

創建者 Baptiste M

Nov 05, 2019

Overall a good review over the different graphs, yet the course feels wonky in the flow of this courses covering stuff already studied and staying on surface.

創建者 Soh J

Mar 20, 2020

Some of the content tested in the assignment is not covered by the lessons, staff is not fast and helpful in answering questions from students

創建者 Nguyen T V A

Jun 01, 2019

Labs are very difficult and hard to follow. There is a big gap between what we learn from the videos and what we are asked to do in the Labs.

創建者 Tsungai J M

Oct 25, 2019

There some information gaps in the labs and lectures that made the assignment quite challenging without seeking further external knowledge.

創建者 Lin W

Aug 03, 2019

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

創建者 Charles J

Apr 14, 2020

Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.

創建者 Pedro F

Aug 24, 2019

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

創建者 Matteo E

Aug 01, 2019

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

創建者 Spataru N

Oct 23, 2018

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

創建者 Robert T

Jun 23, 2019

Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.

創建者 Pawel K

May 02, 2019

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

創建者 Mohammad Q

Aug 23, 2019

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

創建者 Ramsrinivas A

Jan 03, 2020

Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

創建者 Amir S

Sep 10, 2019

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

創建者 Mahmoud H E Y

Sep 04, 2019

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

創建者 Mayank s

Feb 12, 2020

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

創建者 Jonathon V

Apr 23, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

創建者 Nejc M

Jun 11, 2019

More information about Plots, charts and overall things could be provided in the videos - on the slides.

創建者 Nicholas F

Dec 20, 2019

There were some gaps between the taught material and the final assignment. Overall, I learned from it.

創建者 PVS S

Oct 16, 2019

most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

創建者 Andrew C

Mar 03, 2020

recapping the data set in nearly every video was very repetitive and didn't add any learning value

創建者 SHALINI G

Sep 09, 2019

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

創建者 Denis R

Jan 04, 2020

Some lab instructions and links to files do not work and no real help is provided in the forums.

創建者 Meng L

Jun 28, 2019

I like the lab work but the jupyter notebook is so low to work with creating the Choropleth map.