Thinking like a Storyteller Course

Course Summary

The Thinking like a Storyteller training course is designed to demonstrate how to create data narratives and visuals that connect with audiences.

The course begins with an illustration of the realm of data and why data is important. It then examines the art of storytelling as well as good and bad visualizations. The course concludes with an advanced analysis of storytelling and effective visualization.

Prerequisites: A basic knowledge of Python.

Purpose

This course will cover data storytelling, data visualization and communications best practices - all with an eye to turning a raw set of data and converting it into a compelling narrative presentation that will resonate with your audience.

Audience

Python developers looking to increase their data analysis and visualization skills.

Role

Business Analyst - Data Engineer - Data Scientist - DevOps Engineer - Project Manager - Q/A - Software Developer - System Administrator - Technical Manager - Web Developer

Skill Level

Intermediate

Style

Workshops

Duration

2 Days

Related Technologies

Big Data Training

Data Visualization

Python

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Productivity Objectives:

Explain why data is important
Analyze the different types of data
Comprehend the art of telling stories
Differentiate between good and bad visualizations
Illustrate your data with statistics
List the ways data is pre-processed and why it is pre-processed
Perform exploratory analysis using MatPlotLib
Design effective visualizations

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about our training

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Thinking like a Storyteller training course, you'll learn:

Realm of Data
- Why Data is important
- Different types of Data
- Context is the King
- Metadata – Data about Data
- Know your Data Sources
- Data Governance
- Reference & Master Data
- Various Data Quality Dimensions
Art of Telling Stories – Introduction
- Importance of Storytelling
- Share stories
- Key types of plots
- How to make decisions
Good and Bad Visualization
- Effective Data communication
- Effective communication examples
- Deadly Sins of Graph Design
Understanding your Data
- Introduction to Statistics
- Importance of Statistics
- Descriptive Statistics
- Inferential Statistics
Data Pre-Processing
- Data Validation
- Data Deduplication
- Handle Missing Data
- Data Normalization
- Data Filters
- Outlier Detection
- Data Encode
- Data Enrichment
Storytelling with Data
- Exploratory Analysis using MatPlotLib
- Introduction to Seaborn
- Demo: Working with Seaborn
Designing Effective Visualization
- Visual perceptions for better visualization
- Visual design and application of data graph
- Dissect model visuals
- Principles for Chart Designs
- Turn graphs into Stories