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Overview
Context
Great data visualization is the cornerstone of impactful data science. Visualization helps you to both find insight in your data and share those insights with your audience.
Everyone learns how to make a basic scatter plot or bar chart on their journey to becoming a data scientist, but the true potential of data visualization is realized when you take a step back and think about what, why, and how you are visualizing your data.
In this Improving Your Data Visualizations in Python course offered by Data Camp, we will cover comparing data, the ins and outs of color, showing uncertainty, and how to build the right visualization for your given audience through the investigation of a datasets on air pollution around the US and farmer's markets.
We will finish the course by examining open-access farmers market data to build a polished and impactful visual report.
Programme Structure
Chapters include:
- Highlighting your data
- Showing uncertainty
- Using color in your visualizations
- Visualization in the data science workflow
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data Software Engineering View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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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
- Python Toolbox
- Introduction to Data Visualization with Matplotlib
- Introduction to Data Visualization with Seaborn
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
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
Funding
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