"My" edX Learning Analytics - notes (2018)

Contents introduction  assignments  objectives   Introduction In this class, you will learn: About the field of learning analytics and explore how data and information are used Common learning analytics methods and approaches, such as data wrangling and cleaning, structure discovery, and basic prediction modeling How to conduct basic data wrangling and analyses Ethics and privacy considerations Working in a collaborative, cross-disciplinary setting Common tool sets used in the UTArlingtonX Learning Analytics sequence of courses (R in RStudio and Jupyter Notebooks) There are no prerequisites for this course. However, this course is intended for those who have a bachelor’s degree and are interested in developing learning and data science skills for employment in education, corporate, nonprofit, and military sectors. Experience with programming and statistics will be beneficial to participants.You should expect to spend between 5-7 hours each week working through th