Lecture 1: Introduction to Data Science in Business
Lecture 2: Business Problem Formulation in Data Science for Business
Lecture 3: Data Collection and Management in Data Science for Business
Lecture 4: Exploratory Data Analysis (EDA) in Data Science for Business
Lecture 5: Business Analytics Techniques in Data Science for Business
Lecture 6: Machine Learning for Business
Lecture 7: Data Visualization and Reporting for Business
This course equips students with the skills to apply data science techniques to solve real-world business problems. Topics include business problem formulation, data collection and management, and exploratory data analysis (EDA). Students will explore business analytics, machine learning applications, and effective data visualization for decision-making. The course also covers big data, advanced data science topics, and strategies for integrating data science into business operations. Ethical considerations and privacy issues in data usage are emphasized, ensuring students are prepared to use data responsibly and strategically to drive business success.
