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Quality Score

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Overall Score : 80 / 100

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Course Description

"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.

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Instructor Details

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Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in medical Engineering from the University of Toronto.

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Reviews

4.0

388 total reviews

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By Shrestha m on 13-Nov-19

This is by far the least helpful course in the IBM Data Science Professional Certificate series. The videos contain mostly repeated info, so you really only learn much of anything from the labs. But even the labs are very basic compared to what you are expected to do for the final project. If I am paying for a course to teach me something, I shouldn't be teaching myself with help from Google. I can do that on my own, for free. If the "help" offered by the teaching assistant in the forum is code that doesn't look even vaguely familiar right after going through the course, doing all the labs, and getting a 100% on every quiz, then there is a big problem. I would absolutely not recommend this course

By Ankit Y on 14-Oct-19

Really bad course: too much redundance

By s s a on 30-Oct-19

I spent more time searching online for answers than I did going through this course.

By GANG L on 22-Oct-19

Labs did not work. Kept getting 'Application Not Responding' errors from the IBM site hosting the lab notebooks.

By Li J on 22-Oct-19

While I enjoyed the content of this course, I feel that the instruction was disorganized. This course is part of a beginner sequence in data science, but the teacher assumes certain advanced skills are already known and does not teach them. For example, chart annotation is only briefly covered in the second lab, but the final assignment requires a depth of knowledge not taught in this course. If that's the case then chart annotation should be taught as its own section. A lot of the quizzes are written to trick you with ambiguous phrases, rarely do they actually test what is learned in the labs. I think the teaching in the other IBM data science courses is far better than this one, hopefully they improve this one.

By Linh H on 29-Sep-19

The overall level of the cause is way too low compared to the request made in the tests. Furthermore mistakes and inaccuracies are present all'over the course material. Please review the course material and integrate information needed to perform the tests

By Ben K on 18-Sep-19

502 Bad GatewayThe server returned an invalid or incomplete response.I think, you really should change this course in a way that one is not dependent on labs.cognitiveclass.aiIt simply does not work. I have manually to upload everything to my light version of the Watson Studio.

By Robin K on 27-Aug-19

The course was shallow in content. I wish it explored pros/cons of advanced visualization techniques & how to go about implementing them in python with several real-world examples. The videos were extremely short & repetitive explaining the same dataset in each video. Bulk of the learning happens in optional labs & peer reviewed final assignment. Most of the insights are easily available online.

By Kenia S on 20-Aug-19

This course does not do a good job explaining visualizations and how to plot graphs. More time needs to be taken show how to set parameters in the exercises

By Guy G on 11-Aug-19

by far the worst course of the whole certification program. Carelessly prepared content. Full of typo and mistakes. Quiz results are not even consistent. Different answers for the same question is considered wrong. If a question has two possible answers as multiple-choice, the answer should be one of those, right? Many of the videos are repeating each other. Very little information. Waste of time and money. If there was another way to get this certificate without taking this visualization course, I would pick that way.

By Lovi R G on 22-May-19

only course i actually didnt like. incomplete and it was easir if obly send us to cognitive labs directly, the difference is that cognitive labs are free.

By Helen S d P on 30-Jul-19

Arguably the worst course in IBM certification. There were problems everywhere. The code boxes weren't loading in quizzes. The overall peer guided assignment was a nightmare since they were demanding the part which was not even taught. To sum it all up, peers checked my assignment incorrectly. The assignment grade calumniation took so long than usual. Keep in mind I've done previous courses in this IBM professional certification.