Learn more about the academic programs we are delivering in Summer 2024. If you have any questions about part-time studies, please contact us.

 

Introduction to Big Data and AI

BDA400

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BDA400 - Introduction to Big Data and AI

The data warehousing and analytic marketplace continues to be one of the fastest growing areas of technology and applications. Much of this growth is fueled by applications starting to leverage new types of data to gain new insights into their industry, competition and customers as well as through AI techniques and approaches. This course introduces students to big data and AI concepts. Key concepts covered in this course include the Hybrid Data Warehouse, Logical Data Warehouse, Data Lakehouse and Quantum Computing. This course provides hands on experience with Open Source capabilities such as Spark; an introduction to programming languages such as Python and R as well as analytic techniques such as Machine Learning and Text Analytics. Working with non-traditional relational data such as semi-structured and unstructured data such as text, JSON and social data is included in the course. Performing analytics using capabilities such as SQL, SQL over Hadoop and DBaaS sources is covered.


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