Essentials of Data Literacy
About this Course
Learn data literacy online using R programming What is data literacy and why is it important? In this data literacy course, you will learn how to become data literate. This will be accomplished by performing data analysis, data visualization, and communicating with data, using real datasets and examples that are relevant to a variety of audiences and academic disciplines. Data is part of every field, but not everyone has had the opportunity to gain the skills necessary to find the data they need and use it in ways that add to their work. Whether you are in public health, healthcare, banking, law, education, graduate school, or a variety of other fields, there is a way to understand and make use of related data. Earn your data literacy certificate online This free four-week course will give you the opportunity to build and leverage your data skills for upward mobility at any stage in your career. It will take you through the six steps of the data lifecycle, using different case studies and contexts, and teach you how to analyze, manage, and communicate data, working in R to achieve basic R programming competencies. R is a statistical programming language that is a great resource to analyze data, manage data, and visualize data. No experience is required to learn this in-demand skill. By the end of this data literacy training course, you will be able to identify key principles of data analysis, use critical thinking skills, and become proficient in building powerful visuals. If you are interested in building a career in data analytics, first learning these foundational lessons is vital. Photo by NASA on UnsplashCreated by: Davidson College
Level: Introductory

Related Online Courses
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals are encountered in everyday life, and allow us to make p... more
This online course will equip participants with an understanding of computer modelling of breeding programmes to enhance genetic improvements in agriculture. The modelling is done through the... more
Bayesian Statistics is a captivating field and is used most prominently in data sciences. In this course we will learn about the foundation of Bayesian concepts, how it differs from Classical... more
While randomized controlled trials are considered to be the "gold standard" in health research, they cannot always be performed, for ethical or practical reasons. Observational studies gather... more