Data storytelling for Leaders
- Created By raju2006
- Last Updated February 28th, 2024
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Short Description:
Learn the core APIs and foundational concepts of the platform, using PySpark, Python, and SQL to access and manipulate data. Explore essential tools like Jupyter Notebooks, Anaconda, and Apache Parquet, and empower yourself with the skills to harness the full potential of Spark for your data analysis needs
Description:
This course is designed to help understand best practices for data visualization with no prior experience. You will view examples from real world research cases and business cases from leading technology companies.
By the end of this course, you will be able to generate powerful reports and dashboards that will help your audience make decisions and take actions based on the data you present.
You will use Microsoft Excel to create high-impact visualization of common data analysis. This course culminates in a project in which you will use sample data to create visualizations, dashboards and storyboards to prepare a presentation to fictional audience.
Course Code/Duration:
BDT169 / 4 hours (1 Session)
Learning Objectives:
After this course, you will have the opportunity to develop below skills:
- Master core Apache Spark 3.x APIs and fundamental platform mechanisms.
- Utilize PySpark, Python, and SQL to access and transform data effectively.
- Gain proficiency in working with essential tools such as Jupyter Notebooks and Anaconda.
- Learn to handle data in Apache Parquet format for comprehensive data analysis capabilities.
- None
- Anyone interested
- Anyone interested
Course Outline:
Crafting the Story
- Understanding your data
- Understanding your audience
- Sketching your ideas and stories
- Questions to ask– What do you want to say with data? What is your data telling you? What does your audience want to know?
Information Hierarchy
- Focusing on an audience on what’s most important and only revealing details as needed
- Explore – Gestalt principles in the real world
- Convert – Grouping, Aggregating, Data formats
Visual Display
- Gestalt principles in the real world – Position, size, color, contrast and shape
- Typography and iconography
- Basic charts and alternative charts
- Hierarchical data
- Watch out
- Cognitive overload (Eliminating distractions)
- Watch out – Signaling where to look
- Watch out – Lack of visual order
Storytelling
- Sketches and wireframes
- Defining your narrative – what is your narrative arc?
- Keeping audience’s attention – make everything relatable
In closing
- Steps
- What’s the context
- Select the right visual display (choose the right design and eliminate distractions)
- Think like your audience
- Think like a designer
- Tell a story
What’s inside this training?
- 4 foundational courses
- 2 worksheets for building narratives
- 1 visualization guide
- 4 exercises
- 2 checklists
- 1 success factor self-assessment list (How do I know when storytelling is successful?)
