Visualizing Data with Python
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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!
What you'll learn
- How to present data using some of the data visualization libraries in Python, including Matplotlib, Seaborn, and Folium
- How to use basic visualization tools, including area plots, histograms, and bar charts
- How to use specialized visualization tools, including pie charts, box plots, scatter plots, and bubble plots
- How to use advanced visualization tools, including waffle charts, word clouds, and Seaborn and regression plots
- How to create maps and visualize geospatial data
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| Rating | 1.0★ based on 1 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 2–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | IBM via edX |
| Instructors | Alex Aklson, Joseph Santarcangelo, Saishruthi Swaminathan |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics Engineering |
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What people are saying
allow users build their
Visualization tools operates with some logic and "grammar", which should be properly explained to allow users build their knowledge and practice more advanced methods.
code lacking a proper
In this case some basic concepts and tools are mixed with complex code lacking a proper clarification.
nothing about building blocks
You can finish the course and still understand nothing about building blocks in matplotlib.
person then 2 previous
Made by other person then 2 previous courses, it's much worse in explaining its subject.
practice more advanced methods
explaining its subject
basic concepts
can finish
complex code
it 's much worse
`` grammar ''
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Data Visualization Scientist $51k
Visualization Designer $63k
Data Visualization $64k
3D Visualization Specialist $67k
Data Visualization Specialist $73k
Visualization Software Developer $74k
Data Visualization Architect $81k
3D Visualization Artist $84k
Post-visualization Artist $93k
Visualization Developer $99k
Project Tools $101k
BI Visualization Architect $118k
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| Rating | 1.0★ based on 1 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 2–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | IBM via edX |
| Instructors | Alex Aklson, Joseph Santarcangelo, Saishruthi Swaminathan |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics Engineering |
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