C. Exploratory Data Analysis (EDA)

The Exploratory Data Analysis (EDA) course is designed to help students understand and apply initial data analysis to explore data, uncover relationships, and test hypotheses. The course covers key topics such as the fundamentals of EDA, hypothesis testing, and using tools like Python for data analysis. Students will learn how to clean data, create and interpret visual data representations, and conduct hypothesis testing to draw preliminary conclusions from the data.

Students will work on projects that involve applying EDA in real-world scenarios, developing skills to effectively inspect and analyze data. The course also covers various EDA libraries such as YData Profiling, D-Tale, SweetViz, and Missingno, which enable students to perform data analysis quickly and accurately. At the end of the course, assessments and evaluations will ensure that students have gained the necessary knowledge and skills to apply EDA in real-world work situations.