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

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.

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Explanations

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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

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

Before We Begin

Effective Data Analysis and Visualization

Unpack the core of visualizing data, exploring trends, and analyzing correlations in datasets.

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

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

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

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

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

Time Series Analysis and Visualization Using Python and Plotly

Project

Data Presentation

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

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

Data Types and Sources

3 Lessons

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

Data Visualization with Seaborn for Walmart Sales Projection

Project

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.

Wrapping Up

1 Lesson

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

Test Your Data Storytelling Skills

Assessment

Course Author

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