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学生对 IBM 提供的 Data Visualization with Python 的评价和反馈

4.5
12,152 个评分

课程概述

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash....

热门审阅

CJ

Apr 22, 2023

Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.

AM

Aug 13, 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

筛选依据:

1651 - Data Visualization with Python 的 1675 个评论(共 1,930 个)

创建者 amir s

Sep 9, 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.

创建者 Andrey P

May 4, 2024

I usually enjoy IBM courses, but this one is a disappointment. The labs are of poor quality and provide little value.

创建者 Sowmya S

Feb 19, 2021

The course is good. However, instructions, support and details to actually help you learn and understand is useless.

创建者 Mahmoud H

Sep 4, 2019

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

创建者 Danila M

Aug 20, 2021

Many bugs in the practice labs and the final assignment is a way too far from the material that has been taught.

创建者 Sokob C

Jul 21, 2020

It was a difficult course but it could've been better if there were little short quizzes during all the videos.

创建者 Pavan T

Sep 18, 2023

NOT AS GOOD AS OTHER IBM DATA SCIENCE COURSES WHEN COMES TO DETAILING AND EXPLANATION. IT IS OVER SIMPLIFIED.

创建者 Aman A

Jun 5, 2020

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

创建者 Henrie E N

May 29, 2020

The course content and labs are a bit light on context considering the work required in the final assignment.

创建者 Mayank S

Feb 12, 2020

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

创建者 Jonathon V

Apr 22, 2019

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

创建者 Ismail M

Mar 17, 2021

So many boring data recap of the same table on each graph. Except Dashboard all others are waste of time

创建者 MNejc

Jun 11, 2019

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

创建者 Peter

Mar 5, 2022

quite easy to make final assignement as almost everything was prefilled. So i didnt need to think much

创建者 Laura T

Nov 13, 2020

Sería interesante tener un proyecto más ambicioso y que tocara más tipologías de datos para presentar.

创建者 Nicholas F

Dec 20, 2019

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

创建者 Jairo S B

May 13, 2021

The labs could be more detailed, the final project was hard to finish because there was not all info

创建者 PVS S

Oct 15, 2019

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

创建者 Seung H J

Dec 30, 2023

It's good to cover everything in general. However, there seems to be a bit of unnecessary content.

创建者 Ouakani A

Jan 7, 2022

So far this was the toughest course for me among all the courses in IBM Data Science Certification

创建者 Andrew C

Mar 3, 2020

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

创建者 Mazher H M A

Sep 16, 2025

the problem is that every time i resubmit the task i always get the same score on the last module

创建者 Shalini G

Sep 8, 2019

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

创建者 Ilia

Apr 22, 2021

Labs not working properly, you have to look for other options to complete your final assignment.

创建者 Denis R

Jan 4, 2020

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