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Four-Week Online Data Visualization Course

June 1, 2015 - June 26, 2015

| $395
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Are you analyzing your data efficiently and displaying them effectively? Nearly all of us are responsible for producing reports for our colleagues, supervisors, and clients. Good data visualization is essential to analyzing your data quickly and with the greatest value. The importance of data visualization has become apparent in the current ‘era of big data’ that we live in. Effectively visualizing data can lead to recognizing key learnings quicker and more effectively demonstrate impact.

Format for Online Data Visualization Course

This four week online certificate course will focus on building skills and strategies to better visualize and analyze data using a variety of tech tools. It will feature live interactive guest expert presentations with leading M&E practitioners, software developers, and data scientists. It will also include a unique hands-on learning environment with animated videos, technology demos, practical activities, networking events, immersive simulations and more.



Effective data visualization requires both critical thinking skills and technical skills. During this course, we’ll walk you through the step-by-step design process, which encompasses both skillsets. You’ll learn:

  • What data visualization is and why our brains respond so well to graphics;
  • Which up-and-coming trends in the data presentation field and in software development worth paying attention to;
  • How to design charts that fit your unique stakeholders’ information needs and interests;
  • Which dissemination format is best for your project–like static graphs within reports, handouts, presentations, or infographics, or interactive graphs within dashboards, websites, animated videos, and GIFs;
  • Chart choosing tips, like which layouts are best for showcasing time series data, part-to-whole relationships, geographic patterns, or nested data;
  • Strategies for displaying qualitative and text-based data, like sentiment analysis, color-coding, timelines, calendars, and diagrams;
  • How to select and use software tools–Excel, R, Tableau, mapping programs, and more–that are best suited to your chart type of choice; and
  • Which default settings in your computer program need to be adjusted to ensure that your graph follows best practices. For example, you’ll learn how to write titles, subtitles, and annotations that capture your desired takeaway messages; how to highlight your key findings with color; and how to ensure that your visualizations are readable for viewers with colorblindness.


Guest Experts

You’ll participate in live webinars from guest experts. Can’t attend one of the live webinars? Don’t worry, all sessions are recorded so you can catch up later.

  • Stephanie Evergreen, Evergreen Data, to discuss data visualization best practices and Excel
  • Brittany Fong, Rock Creek Strategic Marketing,  to discuss Tableau
  • Tony Fujs, Director of Learning and Evaluation at the Latin American Youth Center, to discuss R
  • Cole Nussbaumer, Storytelling with Data, to discuss Gestalt principles and preattentive attributes
  • Marc Smith, Co-Founder and Director of the Social Media Research Foundation and Chief Social Scientist at Connected Action Consulting Group, to discuss social network maps and NodeXL


Hands-On Practice

Participants will create data visualizations and get feedback from the course’s experts, facilitators, and fellow participants. For example, during Week 1, you’ll consider your audience’s information needs, the dissemination format for your visualization, what types of data wrangling techniques are needed to get your dataset ready to visualize, and key data responsibility issues. During Week 2, you’ll learn to select the best chart types for your dataset–beyond the overused pie chart and bar chart–and you’ll begin prototyping your visualization. During Week 3, we’ll dive even heavier into tools, and you’ll hear from experts about Tableau, R, and more. During Week 4, you’ll continue editing your visualization to ensure that it follows best practices in alignment, color, text, and more.



Fees for the four-week course are outlined below:

  • $395 if application and payment is submitted by May 1, 2015
  • $445 if application and payment is submitted by May 22, 2015
  • $495 if application and payment is submitted by course start date

Register at https://www.techchange.org/online-courses/technology-for-data-visualization-and-analysis/.

***Enter code DATAVIZ50 for a $50 discount!***

We hope to see you online in June.



June 1, 2015
June 26, 2015
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Ann K. Emery in partnership with TechChange
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