Data Storytelling through Visualizations in Python

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Intermediate

38 Lessons

Certificate of Completion

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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

Course Content

Introduction

Before We Begin

Effective Data Analysis and Visualization

Creating Data Visualizations: Types and Purpose Identifying Exploratory Questions with EDA Grouping Our Dataset Analyze Trends in Data Over Time Analyze Correlations Analyze Comparisons Analyze Contrastive Data Quiz: Effective Data Analysis and Visualization

Extracting Narratives from Data

Case Study: Defining Data-Driven Problem Statements

Implement Iterative Data Visualization Tailor Visualizations to Your Audience Characterize Personas from Your Data Identifying Context: Correlation vs. Causation Quiz: Extracting Narratives from Data

Tackling Real-World Data

Visualizing Outliers Handling Missing Data Forecasting Trends Visualizing Machine Learning Predictions Filter Information from Large Datasets Quiz: Tackling Real-World Data

Data Presentation

Engaging Your Audience Layering Compiling Visualizations Prepare Visualizations for Presentations Interactive Visualizations Creating Data Dashboards Quiz: Data Presentation

Data Types and Sources

3 Lessons

Data Storytelling Best Practices

6 Lessons

Wrapping Up

1 Lesson

Test Your Data Storytelling Skills

Assessment

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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