Data Science: Foundations using R
About this Specialization
Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.\\n\\nThe five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.Created by: Johns Hopkins University
Related Online Courses
This Guided Project was created to help software developers seamlessly integrate Amazon Q into their workflow, enhancing their coding efficiency and accuracy. In this 1-hour long project-based... more
In this 1.5-hour long project-based course, you will learn JavaScript essential functions and you will learn how to make a website interactive by using JavaScript. You will learn JavaScript... more
The Risk Management Framework (RMF) provides a disciplined, structured and flexible process for managing security and privacy risk. It includes information security categorization; control... more
This video course provides an overview of the latest WidgetKit developments in iOS 16, using SwiftUI. It covers static, network-based, map-based, and configurable widgets, as well as core... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to call Gemini using the OpenAI libraryCreated by: Google Cloud more