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Visualizing Data

$850.00 $1,320.00 Save $470.00
Visualizing Data

Visualizing Data

$850.00 $1,320.00 Save $470.00

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Overview

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.

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 14, Chrome 88, Firefox 84, Microsoft Edge 88, 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

    During this course, participants will:

    • 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.

    Week 1 (July 18th): Essentials of Visualizing Data

    • Introduction to Data Graphics and Design
    • Design + Audience
    • Live Online Meetup 1: July 21st at 8:00 PM ET

    Week 2 (July 25th): Visualizing Comparisons

    • Categorical Data, Graphics and Design
    • The Report

    Week 3 (August 1st): Visualizing Locations

    • Geospatial Data, Graphics and Design
    • The Dashboard

    Week 4 (August 9th): Visualizing Time

    • Temporal Data, Graphics and Design
    • The Presentation
    • Live Online Meetup 2: August 11th at 8:00 PM ET

      Program Faculty

      Our courses are taught by seasoned NYU Stern faculty and renowned subject matter experts. Please note that course faculty are subject to change depending upon availability.

      Kristen Sosulski
      Kristen Sosulski
      Clinical Associate Professor of Technology, Operations, and Statistics

      > View full profile

      Customer Reviews

      Based on 4 reviews
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      S
      Seana
      Great actionable course

      This course along with the companion book and site provided actionable insights of how to appropriately visualize data.

      It also gave me a deeper view into Tableau features I wasnt previously aware of.

      Other tools are also discussed as there are many tools and means to visualize and the concept remains the same.

      The instructor is very knowledgeable, insightful and accomodating.

      Certainly a course worth having in your arsenal of data visualization.

      B
      Bob
      Expand beyond excel and powerpoint

      This class provides strong foundational lessons in three areas: gathering data sets, using Tableau to translate data into actionable decisions, and presenting graphs and dashboards according to leading practices. Professor Sosulski is an energetic and interactive professor who provides practical lessons and assignments that encouraged exploration. As a long-time excel and powerpoint user, the class was an excellent introduction to Tableau and expanded my skills when building and presenting information in meaningful ways.

      B
      Brendon
      Empowering theoretical and practical lessons

      This course took me from being a 'data enthusiast' with no vocabulary or toolset to suggest change in my organization, and a Tableau fan with little fundamental knowledge, to being an informed advocate for data-driven decision making in my organization who's able to create visualizations that are clear, concise, and convincing - just what my leadership need. The class format worked well (technology allowed us to participate and "got out of the way" of communication), and the instructor is both a subject matter expert and a passionate teacher with a warm, comfortable style of instruction. I highly recommend this course.

      E
      Evan
      Excellent Course

      Before taking Visualizing Data, I knew very little about Tableau or how to display data in meaningful ways. The course empowered me to think about data representation differently and to support my work within my organization. The course was thoughtfully designed, the instructor was expert, responsive, and informative, and the opportunity to engage with others from across the globe was invaluable.