In this course, you’ll learn the fundamentals of data analytics, including data collection and cleaning, exploratory data analysis, probability and statistics, machine learning, data visualization, and more. You’ll discover how data analysts use various techniques and tools to extract insights from data, and how these insights can be used to make informed decisions in various industries. Additionally, you’ll learn about the various career opportunities available in the field of data analytics, which typically require strong analytical skills, proficiency in programming languages such as Python and R, and the ability to communicate complex insights to non-technical stakeholders. By the end of the course, you’ll have a solid foundation in data analytics and be well on your way to a career in this exciting and fast-growing field.