Chevron Left
Data Visualization with Python(으)로 돌아가기

Data Visualization with Python, IBM

4.6
1,993개의 평가
233개의 리뷰

About this Course

"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....

최상위 리뷰

대학: DD

Mar 03, 2019

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

대학: RC

Jan 15, 2019

Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.

필터링 기준:

231개의 리뷰

대학: Frank Schliephacke

May 19, 2019

To much emphesis in the quiz on terrian tiles - that is something you can look up, seem no reasonable to know by hard.

대학: Aditya Jha

May 17, 2019

None

대학: Mahvash Nejad

May 16, 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.

대학: Na Miller

May 13, 2019

It is a little challenging. I like it.

대학: Lingjun Kong

May 12, 2019

I feel grateful for the challenge in the final assignment which help me to grasp the necessary skill sets in a way of learning while doing; a great experience good for the growth of both technique capacity and mental strength.

대학: Claudia Roberta Combei

May 10, 2019

The course is nice, but there are several issues that could be easily solved:

Some of the notebooks on JupyterLab were not working (e.g. "exploratory...").

On the final assignment page there were some bugs regarding the upload (i.e. question 3)

The videos in week 5 were too condensed and resulted hard to follow.

대학: Yui Chun Leung

May 09, 2019

Some amazing data visualization methods

대학: Derek Adam

May 07, 2019

Had to google a lot of my problems with the lab projects. Information should all be in course for projects.

대학: Florent MARTIN

May 07, 2019

Cours intéressant et évaluation pertinente. Il est cependant plus optimal de s'appuyer sur des ressources externes pour avoir accès à des mémos sur Pandas et Matplotlib (il y a de très bons sites là-dessus).

대학: Roshan Pandey

May 05, 2019

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