Unlock the Power of Data Journalism with Python

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As a journalist, you know that data analysis is a crucial skill to have in your toolkit. With the ability to collect, analyze, and present data, you can uncover hidden patterns, identify trends, and tell more compelling stories. But, where do you start?

Introducing “First Python Notebook: Data Analysis on Deadline,” a new online course from the Knight Center for Journalism in the Americas. This comprehensive course is designed to help journalists like you enhance their data analysis skills and take their storytelling to the next level.

Data analysis is the foundation of impactful journalism

Led by Ben Welsh, Reuters News Applications editor, this course is perfect for journalists who want to expand their skill set and dive into the world of data journalism. Whether you’re a seasoned journalist or just starting out, this course will give you the tools you need to master Python, Jupyter Notebook, and pandas.

Mastering Python and Jupyter Notebook

In this course, you’ll learn how to use Python, a versatile programming language, and Jupyter Notebook, a browser-based interface where you can write, run, remix, and republish code. You’ll also refine your data manipulation skills with pandas, a powerful Python library for handling structured data.

Python is a versatile programming language

Hands-on Learning with Real Datasets

Throughout the course, you’ll tackle hands-on tasks with real datasets, learning to navigate, clean, and analyze data, uncovering fascinating narratives along the way. You’ll also have the opportunity to participate in live office hours with Ben Welsh, ensuring that you get the personalized attention you need to succeed.

A Richer Learning Experience

This paid course is different from the basic free ones offered in the past. With a limited number of participants, you’ll get a more in-depth look at the subject and more personal attention from the instructor, providing a richer learning experience.

Course Structure

The course is organized into four weekly modules, plus an introductory module available immediately after registration. Each module will cover a different topic through video lectures, guest interviews, presentations, readings, optional live office hours, and discussion forums.

Module 1: Getting Started with Jupyter and pandas

In this module, you’ll learn how to install Jupyter and teach you the basic skills necessary to create an interactive notebook and begin coding. You’ll also get an introduction to pandas.

Module 2: Practical Tasks with Real-World Datasets

In this module, you’ll dive into practical tasks with a real-world dataset, teaching you how to read, explore, and clean data using pandas.

Module 3: Examining and Improving Data Sources

In this module, you’ll learn how to use pandas to examine, interview, and improve data sources. You’ll cover the techniques you need to ask and answer questions with code.

Module 4: Preparing a Rigorous Finding

In this final module, you’ll learn how to prepare a rigorous finding that’s ready to report.

Data journalism is the future of storytelling

Don’t Miss This Opportunity

Don’t miss this opportunity to enhance your data analysis skills and take your journalistic capabilities to a new level. Register today and join Ben Welsh on a journey that will transform the way you approach data and storytelling.

Register now and start your data journalism journey