Visualizing Data at New York University Overview
Visualizing Data
at New York University
Identify appropriate data visualization techniques to build data graphics, refine the data graphics to improve clarity
Duration | 4 weeks |
Total fee | ₹64,620 |
Mode of learning | Online |
Course Level | UG Certificate |
Visualizing Data
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
- Faculty
- Entry Requirements
Visualizing Data at New York University Highlights
Visualizing Data
at New York University
- Earn a certificate of completion from Nyu
Visualizing Data at New York University Course details
Visualizing Data
at New York University
Skills you will learn
What are the course deliverables?
- Data Formatting and Analysis for Data Graphics
- Creation, Refinement, and Presentation of Data Graphics
- Data Visualization Case Studies and Examples
More about this course
- With businesses generating and capturing increasing amounts of data, the ability to interpret and present insights in a persuasive way is more crucial now than ever before
- Visualizing Data shows you how to make sense of your data, present clear evidence of your findings, and tell engaging stories all through data graphics
- In this four week course, students can progress at their own pace through the key steps of data visualization
- The hands-on lessons will focus on techniques for data preparation -how to choose, create, and edit graphics, as well as best practices for presenting your visualizations
Visualizing Data at New York University Curriculum
Visualizing Data
at New York University
Week 1 Essentials of Visualizing Data
Introduction to Data Graphics and Design
Design + Audience
Week 2 Visualizing Comparisons
Categorical Data, Graphics and Design
The Report
Week 3 Visualizing Locations
Geospatial Data, Graphics and Design
The Dashboard
Week 4 Visualizing Time
Temporal Data, Graphics and Design
The Presentation
Visualizing Data at New York University Faculty details
Visualizing Data
at New York University
Kristen Sosulski
Kristen Sosulski is the author of the award winning business reference, Data Visualization Made Simple: Insights into Becoming Visual. For the past twenty years, Kristen has been working at the intersection of learning science, technology, and business.
Visualizing Data at New York University Entry Requirements
Visualizing Data
at New York University
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Prerequisites: Intended for individuals with basic knowledge of Microsoft Excel
Conditional Offer
- Yes
- Read moreThe university offer conditional admissions to its undergraduate students. Various conditions will be employed - in consultation with the dean of the appropriate NYU school/college/campus - when the admissions committee makes a decision to offer admission to a particularly promising candidate with academic potential but academic credentials that are of concern to the admissions committee
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Visualizing Data at New York University Contact Information
Visualizing Data
at New York University