Chevron Left
Retour à Data Visualization with Python

Avis et commentaires pour d'étudiants pour Data Visualization with Python par IBM

8,751 évaluations
1,239 avis

À propos du cours

"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....

Meilleurs avis

13 août 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!!!

20 nov. 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

Filtrer par :

1151 - 1175 sur 1,224 Avis pour Data Visualization with Python

par Kike P

10 févr. 2019

La prueba final no corresponde con todo lo explicado.

par Andrew P

20 déc. 2019

some of the exercises were not able to load for me

par Muyang L

18 nov. 2019

The lectures contain too much repeat context.

par Amir H

2 avr. 2019

All videos have one minute content in common.

par Ricardo S

14 déc. 2020

Videos could have been a bit more engaging

par Debra C

24 mars 2019

Course was okay, not great but worthwhile.

par Gabriel d C C

31 mars 2020

Muitos problemas com ferramentas externas


23 mars 2020

All the time practice lab is not working.

par LIM K W

2 janv. 2020

Easily encounter 503 errors for the labs


25 déc. 2019

Need to improve more please

par Marina H

19 nov. 2019

Some code did't work in Labs

par Anmol P

5 nov. 2019

More content and examples

par Martina

29 oct. 2019

The labs are very buggy.

par Naman S

17 avr. 2020

Could have been better


7 oct. 2019


par Mark P

18 sept. 2019

JSON links are broken.

par Musfiqul A

18 févr. 2020

Need more hand notes

par pranav s

15 mai 2020

I found it boring

par ADIL J

1 juil. 2019

Can be better

par Shreyas V

17 mai 2020

course is ok

par Gloria S

15 août 2019

too basic

par Fabio B

15 mars 2019

Too basic

par Jeffrey J H

22 déc. 2020

The topic was interesting and visual feedback is gratifying.

The instructor videos were almost totally worthless. The first video should explain how the course will be conducted (information presentation, additional reading required, overall approach to homework, etc.) with subsequent videos explaining important concepts.

The included sample code files at least presented a progression to learn some concepts and provide a basis for experimentation.

The final homework required extensive internet searches rather defeating the point of a "lecture course".

By far the worst Coursera course I have taken.

par Matthew M

4 août 2020

The course material is well presented and interesting, but the final assignment is totally out of line. It contains questions with items that are not in the course or prior courses and I for one could not find on the internet. It took much longer and was much more difficult than final assignments in any of the prior courses. The professor needs to change this assignment, in particular question 2. Other people have struggled with the assignment and complained about the course and nobody seems to care.