Overview
Context
Visualizing data in plots and figures exposes the underlying patterns in the data and provides insights. Good visualizations also help you communicate your data to others, and are useful to data analysts and other consumers of the data.
In this Introduction to Data Visualization with Matplotlib course offered by Data Camp, you will learn how to use Matplotlib, a powerful Python data visualization library. Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets.
What you will learn:
- Assess the necessity and effectiveness of dashboard elements to implement “less is more” practices that align with stakeholder objectives
- Distinguish between Power BI dashboards and paginated reports, including their design requirements and business applications
- Evaluate dashboards for cognitive load and apply chunking, negative space, and color principles to streamline information delivery
- Identify optimal Power BI visuals for presenting categorical, temporal, and hierarchical data to various professional audiences
- Recognize techniques for invoking appropriate emotional responses through data visualization choices in executive reporting
Programme Structure
Chapters include:
- Matplotlib
- Quantitative comparisons and statistical visualizations
- Plotting time-series
- Sharing visualizations with others
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 464 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Prerequisites: Introduction to Python
- This course is suitable for beginners. It covers the basics of Matplotlib and teaches you how to create visuals for different kinds of data and how to customize, automate, and share these visualizations.
- This course is beneficial for data analysts, researchers, scientists, data engineers among many others. Any professional who works with data will benefit from this course as it provides tools to easily visualize data.
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions