Comprehensive introduction covering statistical analysis, data visualization, and exploratory data analysis

 Proficiency in Python and R, essential languages in the data science industry

In-depth exploration of machine learning algorithms and predictive modeling techniques

Hands-on experience with tools like Apache Spark and Hadoop for handling large datasets

Techniques for cleaning and preparing data, a crucial step in any data science project

Examination of ethical considerations, addressing issues of privacy, bias, and responsible data use

A culminating project allowing students to apply acquired skills to solve real-world problems, showcasing proficiency to potential employ