What does the Data-Driven Storytelling course cover?
Data-Driven Storytelling is covered here in 7 modules: Introduction to Data-Driven Storytelling, Data Collection and Cleaning, Data Analysis and Visualization and 4 more. The outline lists 21 specific topics, opening with defining data-driven storytelling and its role in investigative reporting and closing with understanding how to apply data-driven insights to various beats and topics.
How do you approach Data-Driven Storytelling step by step?
The work is sequenced in 7 stages. It starts with Introduction to Data-Driven Storytelling, moves through Data Collection and Cleaning and Data Analysis and Visualization, and ends at Case Studies and Real-World Applications. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Data-Driven Storytelling course?
Module 1 is Introduction to Data-Driven Storytelling. It works through defining data-driven storytelling and its role in investigative reporting, understanding the benefits and challenges of working with data and overview of key tools and technologies used in data-driven storytelling. It sets the vocabulary the remaining 6 modules build on.
How is the Data-Driven Storytelling course delivered?
The Data-Driven Storytelling course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Data-Driven Storytelling course cost?
The Data-Driven Storytelling course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Data-Driven Storytelling for Investigative Journalists, Data-Driven Storytelling for Investigative Journalism, Data Storytelling Toolkit.
More answers: what you get with every course, refund policy, all help answers.
Mastering Data-Driven Storytelling: A Journalist's Guide to Investigative Reporting with Data Science and Visualization
Course Overview
This comprehensive course is designed to equip journalists with the skills and knowledge needed to master data-driven storytelling. Through a combination of interactive lessons, hands-on projects, and expert instruction, participants will learn how to harness the power of data science and visualization to uncover insights, identify trends, and create compelling stories.Course Objectives
- Understand the fundamentals of data-driven storytelling and its applications in investigative reporting
- Learn how to collect, clean, and analyze data using various tools and techniques
- Develop skills in data visualization and presentation using industry-standard software
- Apply data-driven insights to craft compelling stories and identify trends
- Understand the importance of ethics and transparency in data-driven reporting
- Defining data-driven storytelling and its role in investigative reporting
- Understanding the benefits and challenges of working with data
- Overview of key tools and technologies used in data-driven storytelling
- Understanding data sources and types (structured, unstructured, and semi-structured)
- Learning data collection techniques (scraping, APIs, FOIA requests)
- Data cleaning and preprocessing using tools like Excel, Google Sheets, and pandas
- Introduction to data analysis using tools like Excel, SQL, and Tableau
- Understanding data visualization principles and best practices
- Learning data visualization tools like Tableau, Power BI, and D3.js
- Crafting compelling stories using data-driven insights
- Understanding the importance of context, clarity, and concision in data-driven storytelling
- Learning how to identify and communicate trends, patterns, and outliers
- Understanding the importance of ethics and transparency in data-driven reporting
- Learning how to handle sensitive data and protect sources
- Best practices for data attribution and citation
- Learning advanced data analysis techniques using tools like R, Python, and SQL
- Understanding how to work with large datasets and perform data mining
- Advanced data visualization techniques using tools like matplotlib, seaborn, and Plotly
- Examining real-world examples of data-driven storytelling in investigative reporting
- Learning from case studies of successful data-driven reporting projects
- Understanding how to apply data-driven insights to various beats and topics
- Interactive and engaging content
- Comprehensive and personalized learning experience
- Up-to-date and practical knowledge and skills
- Real-world applications and case studies
- High-quality content and expert instruction
- Certificate of Completion issued by The Art of Service
- Flexible learning schedule and user-friendly platform
- Mobile-accessible and community-driven learning environment
- Actionable insights and hands-on projects
- Bite-sized lessons and lifetime access to course materials
- Gamification and progress tracking features