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Avis et commentaires pour l'étudiant pour Data Visualization with Python par IBM

4.6
3,743 notes
409 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

MS

Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

RL

Aug 08, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

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176 - 200 sur 405 Examens pour Data Visualization with Python

par ds_devang

Jun 04, 2019

Properly arranged and managed course. It is a must required for data science enthusiast.

par peter h

Jun 06, 2019

A fantastic introduction to data visualisation in python. I will start using this straight away!!!!

par Brian G

Jun 07, 2019

this course was excellent! really forces you to focus in the labs and learn how to read documentation.

par Thierry A

Jun 20, 2019

Great class. Learned about data visualization, data clean up, and more. Challenging but worth it.

par yash s

Jun 18, 2019

Amazing Course

par Vamshi M

Jun 19, 2019

superb course , nicely explained

par Kwesi O

Jun 22, 2019

Learnt a lot and it was very challenging too. thank you!

par Deepratna A

Jun 24, 2019

One of the most descriptive courses on Data Viz with python.

par Ramakrishna B

Jun 27, 2019

Enjoyed a lot. Very much clear and step by step explanations. But more examples and update would be helpful.

par Osinowo p i

Jun 27, 2019

Pretty nice course!

par Eduardo B V

Jun 27, 2019

Excellent!

par Hari P R

Jun 11, 2019

Excellent course.

par Luis H

Jun 10, 2019

Activities were really hard to solve.

par Leonardo I

Jun 29, 2019

This is a very enjoyable course, even though I was familiar with most of the tools, I still got to learn a few new tricks. If you are not familiar with programming, you might find the final assignment a bit challenging. Therefore, I strongly recommend that you take the course labs very seriously.

par nayeem s

Jul 02, 2019

best course to get started in the field of data science

par Senthamizhan V

Jul 02, 2019

I thought the syllabus will cover only matplotlib and seaborn. I didn't expect to learn geospatial data visualization in this course. I learnt a great deal about folium and it's versatility. I feel it's a great addition to the course. Such modules will enable aspiring data scientists to expand their domain knowledge and excel in unorthodox data science areas.

par Giulio L

Jul 01, 2019

Great course. The laboratories and the final assignments are a good way to test what you learned in the lectures.

par Rajeev K

Jul 03, 2019

its great session for me and i enjoy this session alot

par Diego M

Jul 05, 2019

Great! Really recommend it!

par Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

par worapon

Jul 07, 2019

some of the assignment topic is challenge for someone who are new to computer science

par P M N

Jul 08, 2019

Nice Visualization Tools and Libraries

par Haocheng w

Jul 09, 2019

Very cool packages introduced like seaborn, and well introduction about the stamen series!

par Ted H

Jul 10, 2019

I didn't know so much was possible with Python.

par Roshan K

Jul 09, 2019

It's very nicely taught and helpful for my career perspective. Thanks a lot Coursera and IBM. I am loving this Specialization.