Thinking Like a Storyteller

Mold the data into the stories for expressing result in better way using various visualization techniques.

Duration

2 Days

Level

Intermediate Level

Design and Tailor this course

As per your team needs

Edit Content

Data that sits in Spark or Hadoop or even a spreadsheet is not as powerful as data that is interpreted, packaged and communicated to those who need to hear what it has to say. Anyone who works with data needs to know how to effectively present that analysis to the people who will be making decisions based on the data. And it’s not as simple as throwing charts at people. You need to create narratives and visuals that really connect with audiences.

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.

Edit Content

This program is designed for Data Engineers, Data Storytellers and Data Scientists

Edit Content

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

Why is Storytelling important?
How to share stories?
Key types of plots
Which one to choose when?

Good and Bad Visualization

Introduction to Statistics
Importance of Statistics
Descriptive Statistic
Inferential Statistics

Understanding your Data

Data Pre-Processing

Data Validation
Data Deduplication
Handling Missing Data
Data Normalization
Data Filtering
Outlier Detection
Data Encoding
Data Enrichment
Hands-on

Storytelling with Data

Exploratory Analysis using MatPlotLib
Hands-on Exercises
Introduction to Seaborn
Demo: Working with Seaborn
Hands-on Exercise(s)

Designing Effective Visualization

Visual Perceptions for better Visualization
Visual Design and Application of Data Graph
Dissecting model Visuals
Principles for Chart Designs
Turning your graph into Stories
Hands-on Exercise(s)

Edit Content

Attendees should have basic knowledge of Python.

our Footprints

Quick Links

our Offerings

Follow Us

Sign up for DataCouch Communications

Copyright 2024 © DataCouch

Apache, Apache Kafka, Apache Spark, Apache Trino, Apache Iceberg, Apache Hive, Kafka, Spark, Trino, Iceberg, Hive, and other associated open-source project names are the Apache Software Foundation trademarks. Starburst, Starburst Data, Starburst Enterprise, and Starburst Galaxy are registered trademarks of Starburst Data, Inc. All rights reserved. DataCouch is not affiliated with, endorsed by, or otherwise associated with the Apache Software Foundation (ASF) or any of its projects.