Visualizing Data

$1,936.00 $2,200.00 Save $264.00
Visualizing Data

Visualizing Data

$1,936.00 $2,200.00 Save $264.00

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Overview

*Early bird discount available until December 20th, 2019 at 4:00 PM ET.

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 eight 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.

Course Trailer

 

Online Learning Experience

In-House Quality
In 2001, Stern became the first business school to establish its own center for exploring new models in teaching and learning. The NYU Stern Learning Science Lab is a team of creatives, educators, designers, and technologists who work closely with faculty to create engaging and interactive courses. Leveraging the resources of Stern and NYU at large, the team applies their expertise in user experience design, learning science, and video production to build immersive digital learning environments for business school education.

Online Learning Terminology
The term "asynchronous" refers to courses or course elements that can be completed at any time within the parameters of the course schedule. Asynchronous activities are things you do independently, like watch videos and complete assignments, and interactions with others over time via email, discussion forums, collaborative documents, and other channels. The term "synchronous" refers to learning with others in real time using videoconferencing and other technologies. Our online certificate courses are asynchronous with optional synchronous elements.

Software/Technical Requirements
  • Desktop or laptop computer with administrative access and ability to install software
  • A webcam and headset (preferred) or microphone for online meetups
  • Broadband/high-speed Internet (1.5 Mbps minimum/3 Mbps preferred) to ensure your ability to participate fully in online meetups
  • Operating System: Mac OS 10.14 or Windows 10 or later
  • Browser: Safari 12.0.2, Chrome 72.0.3626, Firefox 65.0.1, or Internet Explorer 11 or later
  • Microsoft Excel, PowerPoint (Mac users are encouraged to use KeyNote), and a basic text editor such as Notepad or TextEdit
  • Instructions and codes to install Tableau and Geocodio will be provided
  • This program does not support mobile devices, including tablets and iPads.

  • Certificates and Credits

    This course is a non-credit, pass/fail program. To pass this course, you will need a cumulative score of at least 55%. Upon successful completion of this course, participants will receive the NYU Stern Certificate in Visualizing Data.

    Program Takeaways

    • Data Formatting and Analysis for Data Graphics

      Use visual data exploration methods that aid in data understanding, learn techniques for data preparation including data formatting and cleaning, and identify the target audience and line of inquiry
    • Creation, Refinement, and Presentation of Data Graphics

      Identify appropriate data visualization techniques to build data graphics, refine the data graphics to improve clarity, and tell stories with data graphics that will resonate with the audience
    • Data Visualization Case Studies and Examples

      See how data graphics are used in practice through case studies showcasing a unique approach to using data graphics in different settings

    Who Should Attend

    Although there are no formal education or background requirements, this course is designed for participants who meet the criteria below. While we strongly encourage global participation, please note that all courses are taught in English. Proficiency in written and spoken English is required.

    • Years of Experience

      Participants with all levels of work experience are welcome to attend
    • Job Functions

      Ideal for any job function
    • Prerequisites

      Intended for individuals with basic knowledge of Microsoft Excel

    Agenda

    The following agenda is a sample and subject to change.

    Course Access

      In order to access the course, you will receive login credentials via email on the start date of the course. Activation instructions for your login credentials will be provided.

    Required Books

    Data Visualization Made Simple: Insights into Becoming Visual by Kristen Sosulski (Routledge) (available digitally)

    Live Online Meetups with Faculty

      Our live online meetups provide you with the opportunity to engage face-to-face with Professor Sosulski. Please note that all online meetups are recorded and available for your viewing at a later time. Missing a meetup will not impact your grade, however we recommend attending all sessions.

    Workload

      Please expect to invest about 10 to 12 hours of your time per week to course lessons, exercises, and assignments.

    Essentials of Visualizing Data: March 2nd - March 15th

    Lesson 1

    • Introduction
    • Live Online Meetup 1: March 5th at 8:00 PM ET

    Lesson 2

    • Graphics + Data
    • Live Online Meetup 2: March 12th at 8:00 PM ET

    Lesson 3

    • Design + Audience

    Visualizing Comparisons: March 16th - March 29th

    Lesson 4

    • Categorical Data Graphics

    Lesson 5

    • Categorical Data Types
    • Live Online Meetup 3: March 19th at 8:00 PM ET

    Lesson 6

    • Design Principles for Categorical Data Graphics
    • Live Online Meetup 4: March 26th at 8:00 PM ET

    Lesson 7

    • Pitch: The Report

    Visualizing Locations: March 30th - April 12th

    Lesson 8

    • Geospatial Data Graphics

    Lesson 9

    • Geospatial Data Types
    • Live Online Meetup 5: April 2nd at 8:00 PM ET

    Lesson 10

    • Design Principles for Geospatial Data Graphics
    • Live Online Meetup 6: April 9th at 8:00 PM ET

    Lesson 11

    • Pitch: Web Dashboard

    Visualizing Comparisons: April 13th - April 26th

    Lesson 12

    • Temporal Data Graphics

    Lesson 13

    • Temporal Data Types
    • Live Online Meetup 7: April 16th at 8:00 PM ET

    Lesson 14

    • Data Principles for Temporal Graphics
    • Live Online Meetup 8: April 23rd at 8:00 PM ET

    Lesson 15

    • Pitch: The Presentation

     

     

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