The three-day course outlines information-design through examples on how to use a data set and appropriate visuals. Learn to implement levels of complexity into information design and have your data resonate with an audience through hands-on exercises and interactive group design sessions.
In our Data Visualization course, learn to create strong visualizations using data to increase comprehension, retention, and action. Develop design concepts and techniques to make your presentations more persuasive.
And discover new opportunities to communicate critical information with data and understand the power of sensemaking to structure data and create effective visualizations for clarity and impact.
The three-day course outlines information-design through examples on how to use a data set and appropriate visuals. Learn to implement levels of complexity into information design and have your data resonate with an audience through hands-on exercises and interactive group design sessions.
Whether you’re looking for opportunities to use data to make a business case, persuade an audience, or create actionable messaging, this course for you. Note that this course does not focus on technical software training.
Who should attend
Individuals who give or receive data and need to show value and outcomes
Individuals who want to transform stats into digestible information
Communication specialists
Business storytellers
Technologists
Researchers
Educators
Non-profit staff
Government professionals
What you will learn
Understand the power of sensemaking and storytelling via data
Recognize opportunities to communicate with meaningful data
Experiment with visualization techniques
How to hone a message
Transform data presentations into powerful persuasive tools
Define and identify information design and data visualization
Apply design elements and principles to data
Incorporate data strategies into everyday work
The AAP division of the Krieger School of Arts and Sciences, offers you a Johns Hopkins graduate-level education that recognizes the intellectual strength and educational requirements of professional adults.
About Krieger School Of Arts And Sciences
The Zanvyl Krieger School of Arts and Sciences is at the heart of a leading, diverse, global coeducational university. Privately endowed, the Johns Hopkins University was founded in 1876 as the first true American university on the European model.
A graduate institution with an associated preparatory college, a place where knowledge would be created and assembled, as well as taught.
Today, the Krieger School of Arts and Sciences continues to lead as a core institution of the Johns Hopkins complex of schools, centers, and institutes. Its home is on the park-like Homewood campus in the residential Charles Village section of northern Baltimore City.
About Advanced Academic Programs
Drawing upon over a century of research and teaching expertise, our programs offer advanced instruction in scientific fields of current interest and innovative graduate study in the humanities and social sciences. While based on the latest scientific and scholarly knowledge, course work emphasizes the application of such knowledge to practical problems.
Classes are designed to provide individual attention and to encourage student contribution. Courses leading to master’s degrees are held in the evening and on weekends at the Homewood campus in Baltimore, in Washington, D.C., and online.
Through this Power BI Data Analyst certification training, participants will learn about creating actionable insights by leveraging various data sets and then building data models using the Power BI tool.
The Microsoft Power BI certification will help you learn Power BI concepts as BI reports, dashboards, Power BI DAX commands, dashboard, and Power BI desktop layouts.
Microsoft Analyzing Data with Power BI course is offered by Ledet for all skill level. You'll have fun in these hands-on, instructor-led training classes, the easiest and most comprehensive way to learn graphics software fast. We teach the cool stuff!
Learn about business intelligence tips, data analysis, data modeling, shaping, query editor, visualizations, charting data, data anlaysis expressions, DAX, filtering reports, slicing reports, dashboards.
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
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