# Data Analysis & Storytelling Course (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/data-analysis-storytelling-course-self-paced>

## Overview

Don't just show the numbers. Let us prepare you to communicate the story behind the data. Data storytelling is an emerging field that is frequently associated with analytics and data science. It offers a structured approach to communicating data findings in a way that significantly improves audience understanding. Participants in this hands-on workshop analyze data, construct narratives, and design visuals that help decision makers connect the dots.

## What you'll learn

- Describe six key steps in an analytical study.
- Develop appropriate questions for data analysis.
- Apply descriptive statistics to analyze data.
- Communicate data findings with a story narrative.
- Create and edit charts to enhance data visualization.
- Develop a presentation using data visualization and storytelling techniques.

## Prerequisites

Students must complete [Descriptive Statistics for Data Analysis (PGMT8200)](https://www.graduateschool.edu/courses/descriptive-statistics-for-data-analysis) and [Designing an Analytical Study (PGMT8005)](https://www.graduateschool.edu/courses/designing-an-analytical-study) before enrolling in this course.

## Curriculum

**Module 1: The Role of a Management Analyst**

- Understand the responsibilities and functions of a management analyst.
- Recognize how analysts contribute to decision-making through data insights.
- Identify key skills required for effective data analysis and communication.

**Module 2: Storytelling with Data**

- Learn how to frame data within a compelling narrative to engage audiences.
- Identify the elements of an effective data story, including context, message, and takeaway.
- Apply storytelling techniques to make data-driven recommendations more persuasive.

**Module 3: Effective Data Visualization**

- Understand principles of clear, accurate, and impactful data visualization.
- Select the appropriate chart or graph type for different data sets and messages.
- Design visuals that enhance comprehension and avoid common pitfalls.

**Module 4: Analyzing an Organizational Data Set**

- Apply analytical methods to real-world organizational data.
- Identify trends, patterns, and outliers that inform decision-making.
- Use analysis results to shape strategic recommendations.

**Module 5: Presenting Data with Visuals and a Narrative**

- Integrate data visualization with storytelling for maximum impact.
- Craft presentations that connect with both technical and non-technical audiences.
- Ensure that visuals and narrative work together to deliver a clear, actionable message.

## Pricing

**Tuition:** $1249