Data Journalism and Visualization
( 30 Modules )

Module #1
Introduction to Data Journalism
What is data journalism and why is it important in todays media landscape?

Module #2
The Role of Data in Investigative Reporting
How data is used to uncover hidden stories and patterns

Module #3
Data Journalism Tools and Technologies
Overview of tools and technologies used in data journalism

Module #4
Finding and Acquiring Data
How to find and acquire data for journalism projects

Module #5
Cleaning and Preparing Data
Best practices for cleaning and preparing data for analysis

Module #6
Introduction to Data Analysis
Basic concepts and techniques for analyzing data

Module #7
Working with Spreadsheets
Using spreadsheet software like Google Sheets or Excel for data analysis

Module #8
Data Visualization Basics
Introduction to data visualization principles and best practices

Module #9
Using SQL for Data Analysis
How to use SQL to extract and analyze data

Module #10
Working with APIs and Web Scraping
How to extract data from APIs and websites using web scraping techniques

Module #11
Data Visualization Tools
Overview of popular data visualization tools like Tableau, Power BI, and D3.js

Module #12
Creating Interactive Visualizations
How to create interactive visualizations using tools like Tableau and Power BI

Module #13
Design Principles for Data Visualization
Best practices for designing effective and informative data visualizations

Module #14
Visualizing Geospatial Data
How to work with geospatial data and create effective maps

Module #15
Storytelling with Data Visualization
How to use data visualization to tell compelling stories

Module #16
Machine Learning and AI in Data Journalism
How to use machine learning and AI techniques in data journalism

Module #17
Working with Large Datasets
How to work with large datasets and big data

Module #18
Data Journalism and Ethics
Ethical considerations for data journalism and visualization

Module #19
Collaborative Data Journalism
How to work collaboratively on data journalism projects

Module #20
Case Studies in Data Journalism
Real-world examples of data journalism projects and their impact

Module #21
Final Project:Conceptualization
Developing a concept for a data journalism project

Module #22
Final Project:Data Acquisition and Analysis
Acquiring and analyzing data for the final project

Module #23
Final Project:Data Visualization
Creating data visualizations for the final project

Module #24
Final Project:Storytelling and Reporting
Writing and reporting on the final project

Module #25
Final Project:Presentation and Feedback
Presenting and receiving feedback on the final project

Module #26
Data Journalism and Non-Profit Organizations
How non-profit organizations use data journalism

Module #27
Data Journalism and Business
How businesses use data journalism

Module #28
Data Journalism and Government
How governments use data journalism

Module #29
Data Journalism Tools and Resources
Additional tools and resources for data journalism

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Data Journalism and Visualization career

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Data Journalism and Visualization ( 30 Modules )

Data Journalism and Visualization
( 30 Modules )