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This comprehensive data literacy course teaches essential skills for analyzing, managing, and visualizing data using R programming. Designed for beginners across various fields, the program covers the complete data lifecycle, statistical analysis, and data visualization. Students learn through real-world datasets and examples, making it relevant for multiple industries. The course emphasizes practical skills in R programming, critical thinking, and effective data communication, preparing participants for data-driven decision-making in their careers.
4.4
(27 ratings)
10,980 already enrolled
Instructors:
English
English
What you'll learn
Master the six steps of the data lifecycle
Develop proficiency in R programming for data analysis
Learn to create effective data visualizations
Understand statistical analysis and probability functions
Gain skills in data management and organization
Become a critical consumer of data and visualizations
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
The course provides a comprehensive introduction to data literacy and analysis using R programming. Students learn the six steps of the data lifecycle and how to apply them in various contexts. The curriculum covers fundamental concepts in data analysis, visualization techniques, and effective data communication. Participants gain practical experience with R programming for statistical analysis and data management. The course emphasizes real-world applications and career-relevant skills, preparing students to leverage data effectively in their professional fields.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Analysis Basics with Excel and R, Web App Development for Data Scientists
Instructor

1 Course
Data Scientist Bridging Industry and Academia with Focus on Public Health
Dr. Che Smith is a versatile data scientist whose career spans industry, academia, and public health sectors. Currently serving as a Senior Analytics Engineer at Netflix on the Content and Marketing Analytics Research team, she previously held the position of Visiting Assistant Professor in Data Science at Davidson College from 2019-2020. Smith's diverse background includes experience in local and federal government public health agencies, consulting, and entrepreneurship. Her research focuses on modeling longitudinal data, with emphasis on variable selection, bias reduction, and effective visualization of complex datasets. In her teaching, Smith introduces students to the practical applications and common misunderstandings of data science and statistics in everyday life. Her multidisciplinary approach combines rigorous statistical methods with real-world applications, bridging the gap between academic research and industry practice. At Netflix, Smith is actively involved in recruiting for the Content Data Science team, seeking candidates who are passionate about data storytelling. Her unique blend of experiences in public health, academia, and corporate analytics positions her as a valuable contributor to both the academic understanding and practical application of data science across various fields
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Frequently asked questions
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