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"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights 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.
In this course, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions.
When you sign up for this course, you get free access to IBM Watson Studio. In Watson Studio, you’ll be able to start creating your own data science projects and collaborating with other data scientists. Start now and take advantage of everything this platform has to offer!
Module 1 -Introduction to Visualization Tools
Introduction to Data Visualization
Introduction to Matplotlib
Basic Plotting with Matplotlib
Dataset on Immigration to Canada
Module 2 -Basic Visualization Tools
Module 3 -Specialized Visualization Tools
Module 4 -Advanced Visualization Tools
Seaborn and Regression Plots
Module 5 -Creating Maps and Visualizing Geospatial Data
Berbelek completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
This course belongs to series of 4-5 courses delivered by IBM. But this one was very disappointing. Made by other person then 2 previous courses, it's much worse in explaining its subject. Visualization tools operates with some logic and "grammar", which...
This course belongs to series of 4-5 courses delivered by IBM. But this one was very disappointing. Made by other person then 2 previous courses, it's much worse in explaining its subject. Visualization tools operates with some logic and "grammar", which should be properly explained to allow users build their knowledge and practice more advanced methods. In this case some basic concepts and tools are mixed with complex code lacking a proper clarification. You can finish the course and still understand nothing about building blocks in matplotlib.
As edX edition of the course did not offer access to Graded Review Questions, I've moved to CognitiveClass platform (by IBM) where the course is currently available for free including certificates, without any limitations, in the exactly same formula as edX edition.
The videos are usually super short, so they don't teach you much beyond the existence of the thing. The "lab" are mainly code that is already written, so you don't get enough of a chance to learn how to write it yourself.