STAT 109A - Data Science 1: Introduction to Data Science Learning Course

[STAT 109A - Data Science 1: Introduction to Data Science Learning Course] STAT 109A - Data Science 1: Introduction to Data Science STAT 109A introduces students to the principles and techniques of data science. The course covers fundamental topics such as data wrangling, exploratory data analysis, machine learning algorithms, and data visualization. Students learn how to preprocess data, apply statistical methods, and build predictive models using programming languages such as Python or R. Through hands-on projects and case studies, students gain practical experience in analyzing large datasets, extracting meaningful insights, and communicating findings effectively. STAT 109A prepares students for advanced coursework in data science, machine learning, and careers in data analysis or research.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.