This course, offered by Johns Hopkins University, introduces the Tidyverse, a powerful set of data science tools revolutionizing the field. Learn to distinguish between tidy and non-tidy data, transform non-tidy data into tidy data, and explore the Tidyverse ecosystem of R packages. Understand the data science project life cycle and how to organize and initialize a data science project.
Throughout the course, you will cover the simple idea of "tidy data" and its role in organizing data for analysis and modeling. Whether you're new to data science or an experienced professional, the Tidyverse provides a streamlined workflow and powerful system for connecting with other data science tools.
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This course covers essential topics such as organizing and transforming data, exploring the Tidyverse ecosystem, understanding the data science life cycle, and applying the knowledge through case studies and a project.
This module introduces the concept of tidy data and its significance in data analysis and modeling. You will learn how tidy data organization simplifies the data science workflow and enhances efficiency.
In this module, you will explore the process of transforming non-tidy data into tidy data. Understand the steps involved and the benefits of working with tidy data for data science projects.
Discover the data science life cycle and the Tidyverse ecosystem of packages in this module. Gain insights into how these tools can be effectively utilized to execute data science projects with efficiency and coherence.
This module focuses on organizing and streamlining data science projects, with a particular emphasis on workflow management. Learn how to create coherent data science workflows that connect with other tools.
Through case studies, apply the knowledge gained in previous modules to real-world scenarios. Analyze and visualize data, and explore practical applications of the Tidyverse ecosystem in data science projects.
In this final module, you will put your knowledge into practice by organizing a new data science project. Apply the concepts learned throughout the course to create a well-structured and efficient project workflow.
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