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

4.5
12,157 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

HK

Apr 30, 2020

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

MN

May 15, 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.

筛选依据:

1701 - Data Visualization with Python 的 1725 个评论(共 1,930 个)

创建者 Evangelos D

May 4, 2020

The assignment was quite difficult because the learning material was poor.

创建者 Pratyush R

Apr 15, 2023

work on your final quiz questions,the questions options were not correct.

创建者 Pablo V V

Mar 18, 2019

More exercises pleases. I need more practice. Please answers discussions.

创建者 Tomer W

Jul 13, 2020

Topics were interesting but the final task was really hard to program.

创建者 Yash M J

Aug 7, 2019

A lot of the code in the jupyter notebooks wasn't explained in detail

创建者 Roshan P

May 5, 2019

It could have more explanation and content. Everything else is good.

创建者 Stefan C

Jun 19, 2025

The hands on Labs for Dashboard a hard to understand and work with.

创建者 Steve H

Jul 23, 2020

quizzes are overrated vs. assignment, poor communication in forums,

创建者 Rajat K

Apr 12, 2020

Some aspects need updation especially the geodata plots, bar plots

创建者 Asibur R

Nov 5, 2022

It was great, until things messed me up, and didn't clear that up

创建者 Ryan A P

Feb 21, 2022

The worst Course in the IBM data science professional Certificate

创建者 Daniel R

Sep 14, 2019

Instruction to prepare for the final project was insufficient.

创建者 Matthew S

Apr 9, 2023

Course is clunky in places, not a ton of retroactive support

创建者 Enock

Jun 6, 2020

could be better , the last assignment is not well explained.

创建者 Letian D

Mar 11, 2020

Some questions are quite difficult and unseen in the course

创建者 Alok M

Jan 29, 2020

I didn't find the modules very helpful. Okayish Experience

创建者 Nuttaphat A

Jun 18, 2019

At least, this course is way more useful than the others.

创建者 Desabandhu P

Jun 18, 2023

Instruction on peer assignment submissions is not clear.

创建者 Igor C

May 9, 2020

Learning efficiency of video's material could be better.

创建者 Pragya A

Jan 4, 2019

it could be more intresting ...yeee good for beginners.

创建者 Shawn H

Jun 22, 2023

The Dash part is so badly designed, the new IDE sucks!

创建者 Marco A Q R

May 9, 2020

A lot of questions are not in the theoretical classes.

创建者 Sajal J

Dec 9, 2019

nice course for learning basics of data visualization

创建者 Enrique J P

Feb 10, 2019

La prueba final no corresponde con todo lo explicado.

创建者 Alisa

Apr 8, 2025

The part about dash is too short and uninformative.