This online data science course is designed to provide students with an introduction to the fundamentals of data science. Through a combination of lecture material and hands-on activities, students will learn the basic principles of data science, including data acquisition, data cleaning, data visualization, and machine learning.

The course begins by introducing students to the basics of data science, including the types of data, data collection methods, and data analysis techniques. Students will learn about the various tools and technologies used in data science. They will also explore the use of data science in different industries, such as finance, healthcare, and retail.

The course also covers the fundamentals of machine learning and how to use machine learning algorithms to solve real-world problems. Students will learn how to build predictive models and how to evaluate their performance. Students will also explore the use of artificial neural networks and deep learning techniques.

Finally, the course will cover a variety of topics related to data visualization, including how to create effective visualizations and how to use data visualization to communicate insights.

By the end of the course, students will have a solid understanding of data science and the skills necessary to analyze and interpret data. They will also have a better understanding of the role of data science in various industries and be able to identify and apply appropriate data science technologies.