Data Science /Analytics

 This course introduces students to the field of data science and analytics. It covers data manipulation, visualization, statistical analysis, and machine learning concepts using Python.

• Interview Process: Prospective students are required to complete an interview session focused on assessing their analytical skills and interest in data science before enrolling in the course.

Course Content:

1. 1. Introduction to Data Science
   2. Data Manipulation and Cleaning
   3. Data Visualization
   4. Statistical Analysis
   5. Introduction to Machine Learning

• Course Materials: Lecture notes, datasets, coding assignments, and recommended readings.
• Prerequisites: No prior data science experience required. Basic understanding of Python programming recommended.

Duration: 12 weeks