Semester-Wise Overview of Data Analytics Course Syllabus
The data analytics course syllabus is thoughtfully designed across four semesters to build strong analytical and business skills. Semester 1 focuses on fundamentals like managerial economics, marketing, and Excel for analytics. Semester 2 introduces technical tools such as Python, SQL, and business statistics. Semester 3 covers core topics like data visualization, predictive analytics, and data mining, along with industry-relevant electives and a summer internship. The final semester includes subjects like strategic management, emerging technologies, and a capstone project. This structured syllabus prepares students for a successful career in data analytics.
