In an era where the most successful business decisions are data-driven, it is essential to harness the latest technologies to effectively apply data to impact real-world scenarios. This course will equip students with the analytic and technical skills to draw meaningful conclusions from data using Python.
*Michigan offers 2- and 3-week sessions. During course registration, students will choose one course for each week they are enrolled.
Course Description
Not just a programming language, Python is a versatile tool for collecting, cleaning, analyzing, and visualizing data. Our course will cover essential programming concepts with Python and apply these concepts to analyze diverse industries. Case studies may examine healthcare (where data analysis is used to identify patterns in patient data and help in the diagnosis and treatment of illnesses), finance (where data science is used to analyze financial data and make investment predictions), and e-commerce (where data science is used for customer segmentation and personalized marketing). In this interactive course, students will extract meaningful insights through statistical analysis techniques, leverage machine learning principles to make predictive models, and solve complex problems. Topics will include data handling, data manipulation, data visualization, data cleaning, deep learning concepts, and data science workflows. Throughout the course, students will work on practical exercises and projects that replicate real-world data science challenges, applying Python to drive insights and solutions.
