Data Science: Decoding Data into Insights with R
About the program
This online course provides an introduction to the concepts, methods, and practices that define modern data science, with a focus on the R programming language. Students will learn how to acquire, clean, explore, visualize and model with data to uncover meaningful insights. We will cover R extensively, including R Shiny (for creating dashboards) and the tidyverse framework (covering tasks such as data wrangling, summarization, and visualization). Through hands-on projects and real-world datasets, students will gain practical experience turning raw data into interpretable insights.
In addition to technical skills, the course cultivates data literacy and critical thinking. Students will learn to connect statistical reasoning with computational techniques and apply fundamental modeling approaches for inference and prediction. Students will communicate findings through well-designed visualizations, dashboards, and clear written narratives. By the end of the course, participants will have built a strong foundation in data science principles and gained the confidence to use R as a tool for exploration, analysis, and decision-making across several application areas.
Students do not need any prior knowledge of R to be successful in this course.
Important Note: The price listed reflects early-bird pricing and will change on Sunday, March 1.
This online course will meet daily Monday-Friday from 1:00-4:00PM ET and requires an internet connection and access to Zoom. Please note the class will not meet on Friday, July 3 due to the holiday.
Inspire Spotlights
Faculty
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Skills you will learn
- Collect, clean, and structure data from diverse sources using R.
- Explore, visualize, and summarize data.
- Apply statistical and predictive models to make inferences and generate insights, interpreting results within real-world contexts.
- Communicate data-driven findings effectively.
Course Highlights
- Data Literacy: Develop the ability to interpret, question, and communicate data effectively.
- R Programming Language: Learn to code, analyze, and visualize data using R—an essential tool for data science.
- Critical Thinking: Strengthen analytical reasoning and problem-solving skills for evidence-based decision-making.
- Hands-on Projects: Apply concepts through real-world data challenges and collaborative exercises.
- 1:1 sessions: The instructor will meet with each student to offer personal feedback.
Please note: All information is subject to change at the discretion of UVA Northern Virginia.