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

4.5
10,688 個評分

課程概述

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....

熱門審閱

LS

2018年11月27日

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.

AM

2020年8月13日

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!!!

篩選依據:

1451 - Data Visualization with Python 的 1475 個評論(共 1,629 個)

創建者 Pablo V V

2019年3月18日

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

創建者 Tomer W

2020年7月13日

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

創建者 Yash M J

2019年8月7日

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

創建者 Roshan P

2019年5月5日

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

創建者 Steve H

2020年7月23日

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

創建者 Rajat K

2020年4月12日

Some aspects need updation especially the geodata plots, bar plots

創建者 Asibur R

2022年11月5日

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

創建者 Ryan A P

2022年2月22日

The worst Course in the IBM data science professional Certificate

創建者 Daniel R

2019年9月14日

Instruction to prepare for the final project was insufficient.

創建者 Enock

2020年6月6日

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

創建者 Letian D

2020年3月11日

Some questions are quite difficult and unseen in the course

創建者 Alok M

2020年1月29日

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

創建者 Nuttaphat A

2019年6月18日

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

創建者 Igor C

2020年5月9日

Learning efficiency of video's material could be better.

創建者 Pragya A

2019年1月4日

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

創建者 Marco A Q R

2020年5月10日

A lot of questions are not in the theoretical classes.

創建者 Sajal J

2019年12月9日

nice course for learning basics of data visualization

創建者 Enrique J P

2019年2月10日

La prueba final no corresponde con todo lo explicado.

創建者 Andrew P

2019年12月20日

some of the exercises were not able to load for me

創建者 Muyang L

2019年11月18日

The lectures contain too much repeat context.

創建者 Amir H

2019年4月2日

All videos have one minute content in common.

創建者 Ricardo S

2020年12月14日

Videos could have been a bit more engaging

創建者 Debra C

2019年3月24日

Course was okay, not great but worthwhile.

創建者 Gabriel d C C

2020年3月31日

Muitos problemas com ferramentas externas

創建者 RITIK S

2020年3月23日

All the time practice lab is not working.