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

4.5
12,187 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:

1401 - Data Visualization with Python 的 1425 个评论(共 1,942 个)

创建者 Gustavo P F d X

Mar 23, 2020

There are some problems with the labs according to installation required.

创建者 Prashant S

Apr 4, 2019

The last section of advance Visualization lab could have been more better

创建者 LAURA T G

Feb 17, 2020

Mmany mistakes that make the studentsd work and stress more tan required

创建者 ARCHANENDRA S

Dec 6, 2019

Excellent study material and brief description of visualization concepts

创建者 Apurv T

Jul 30, 2020

the spatial analysis is new to me and want more detailed study chapters

创建者 High F

Aug 20, 2025

Great course let down a little by poor IDE support - SAVE your work...

创建者 Diego A P

Dec 6, 2020

A broad range of visualizations explained fast and straightforward.

创建者 Alvaro F

Mar 18, 2019

It would be good to make another section only for seaborn or bokeh

创建者 anish k

Aug 20, 2020

Good enough to learn basic skills of data visualization library.

创建者 Carlos A

May 6, 2020

Felt like there could be more information in the last week lab.

创建者 Kang R K

Nov 5, 2019

short course but learn useful python package Folium efficiently

创建者 Sai Y

Jan 23, 2023

Overall Best Course to learn . Needed in more indepth concepts

创建者 Mohit S C

Mar 10, 2022

This course is so much benifical for me to visualize the data.

创建者 William O

Apr 27, 2020

Thanks for the content of this course. I really learned a lot.

创建者 Nicolás G S I

Jul 31, 2019

The final assignment is not too clear.Question 2 specifically.

创建者 Serdar M

Nov 25, 2018

more explanation on functions' and methods' parameters needed

创建者 kolluru s

May 4, 2023

Fantastic course ! still there is delay in receiving a badge

创建者 Frank H

Feb 6, 2020

Some new packages i've never seen. Map one was really cool.

创建者 Hong W

May 13, 2020

Good course to learn basic knowledge of data visualization

创建者 Kevin D

Sep 26, 2019

first of the courses where things weren't spoonfed to you.

创建者 Greg G

Jul 6, 2019

An interesting course with a number of practical examples

创建者 Nathalia S

Apr 15, 2022

Really helped me to understand diferent types of graphs.

创建者 Ahmad S

Jul 30, 2020

Very good course but need more examples and explanations

创建者 aloke d G

Sep 23, 2019

Good insights into various plotting methods and library.

创建者 Ankit K S

Feb 13, 2020

Very wisely chosen content of ungraded lab assignments