Data Storytelling through Visualizations in Python

Data Storytelling through Visualizations in Python

Gain insights into data storytelling in Python using Matplotlib, Seaborn, and Plotly. Explore trends, handle data challenges, and create impactful visual narratives aligning with business goals.

Intermediate

38 Lessons

9h

Certificate of Completion

Gain insights into data storytelling in Python using Matplotlib, Seaborn, and Plotly. Explore trends, handle data challenges, and create impactful visual narratives aligning with business goals.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Assessment
80 Playgrounds
5 Quizzes

This course includes

1 Assessment
80 Playgrounds
5 Quizzes

Course Overview

Mining the insights from data is the next critical step after parsing data and generating visualizations. This activity is called data storytelling, where you form a cohesive story explaining the strengths, weaknesses, and trends of your dataset with the help of predictions through machine learning models. In this course, you will learn how to identify and evaluate your data for trends, handle common real-world challenges of messy data such as large datasets and missing values, and present the right visua...Show More

TAKEAWAY SKILLS

Data Storytelling

Data Visualization

Data Plotting

What You'll Learn

Familiarity with the best practices in the field of data storytelling

Understanding the process of extracting narratives from data

Basic understanding of data analysis strategies using pandas and NumPy

An understanding of data storytelling and visualization generation for real-world, messy data

Hands-on experience with compelling visualizations using Matplotlib and Plotly

What You'll Learn

Familiarity with the best practices in the field of data storytelling

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Course Content

1.

Introduction

Get familiar with data storytelling using Python libraries Matplotlib, Seaborn, and Plotly.
3.

Extracting Narratives from Data

Examine defining problem statements, iterative visualization, audience tailoring, persona characterization, and correlation vs. causation in data storytelling.
4.

Tackling Real-World Data

Break down the steps to handle real-world data, including outliers, missing data, and forecasts.
5.

Data Presentation

Solve problems in presenting data effectively with engaging narratives, layering, and interactive visualizations.
6.

Data Types and Sources

3 Lessons

Follow the process of integrating, visualizing text and image data to enhance storytelling.
7.

Data Storytelling Best Practices

6 Lessons

Piece together the parts of creating concise, consistent, and unbiased data visualizations using effective color schemes and balanced content.
8.

Wrapping Up

1 Lesson

Step through essential data storytelling skills, from visualization to interactive presentations.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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