Algebra 1, Algebra 2, and Geometry. Some background with statistics is recommended but not required.
What is big data? What is machine learning? Participants in this course gain a hands-on understanding of these concepts, how they are shaping the world we live in, and how they can be applied to real-world business and social ventures.
The course focuses on the strategic use of data, through innovative technologies and strategies, to derive actionable business insights. Students gain a familiarity with fundamental data analytics concepts, learn techniques for harvesting big data, evaluate statistical models, and convert knowledge into action by effectively presenting data analytics in compelling narratives useful to organizations in decision-making.
In the process of designing and developing analytics solutions, students gain exposure to tools, technologies, and methodologies such as R, Tableau, MicroStrategy, augmented reality, and artificial intelligence.
In-class activities include lectures, small-group work, class discussions, guest speakers, and interactive case studies applying analytical concepts and methodologies.
Participants are required to bring laptops equipped with the Microsoft Office Suite.