BUNDLE: Coding + Visual Analytics at New York University Overview
BUNDLE: Coding + Visual Analytics
at New York University
Explore, analyze, and share your data findings. Learn to build dynamic reports and interactive apps
Duration | 8 weeks |
Total fee | ₹1,400 |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
BUNDLE: Coding + Visual Analytics
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
- Faculty
- Entry Requirements
BUNDLE: Coding + Visual Analytics at New York University Highlights
BUNDLE: Coding + Visual Analytics
at New York University
- Earn a certificate of completion from Nyu
BUNDLE: Coding + Visual Analytics at New York University Course details
BUNDLE: Coding + Visual Analytics
at New York University
Skills you will learn
What are the course deliverables?
- Coding in R for Data
- Visualizing Data
- Statistical Programming
- Data Presentation
- Data Analysis and Reporting
More about this course
- Coding and Visual Analytics provides students with the foundational skills needed to become a data literate manager
- Learn the basics of programming for data preparation, understanding, and communication
- Build core skills in the R programming language for data importing, formatting, and analysis
- Use Tableau, a leading business intelligence platform, to create robust visualizations and dashboards that communicate your findings
BUNDLE: Coding + Visual Analytics at New York University Curriculum
BUNDLE: Coding + Visual Analytics
at New York University
Week 1 Coding Basics
Introduction to R Programming
Data Structures, Variables, and Data Types
Week 2 Data Exploration
Packages, Scripts, and Rmarkdown
Descriptive Statistics in R
Week 3 Data Presentation
Reporting and Visualization in Rmarkdown
Data Cleaning and Formatting for Messy Data
Week 4 Data Application
Functions, Iteration, and Conditionals
Interactive Applications Using Rshiny
Week 5 Essentials of Visualizing Data
Introduction to Data Graphics and Design
Design + Audience
Week 6 Visualizing Comparisons
Categorical Data, Graphics and Design
The Report
BUNDLE: Coding + Visual Analytics at New York University Faculty details
BUNDLE: Coding + Visual Analytics
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.
BUNDLE: Coding + Visual Analytics at New York University Entry Requirements
BUNDLE: Coding + Visual Analytics
at New York University
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Prerequisites: Intended for individuals with basic knowledge of Microsoft Excel and no prior experience in R or programming
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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BUNDLE: Coding + Visual Analytics at New York University Contact Information
BUNDLE: Coding + Visual Analytics
at New York University