Overview
In this instructor-led, live training, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions.
By the end of this training, participants will be able to:
- Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.
- Design charts that fit the audience’s information needs and interests.
- Choose the best chart types for a given dataset (beyond pie charts and bar charts.)
- Identify and analyze the most valuable and relevant data quickly and efficiently.
- Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)
- Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data.
- Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams.
- Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)
- Prepare datasets for visualization.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Requirements
- Some experience creating reports is helpful, but not necessary
- Experience with Excel
Audience
- Data analysts
- Business managers
Course Outline
Introduction to data visualization
Selecting and creating effective reports
Data visualization tools and resources
Generating and revising your visualizations
Closing remarks