CIS 5383 - Big Data Analytics for IoT

Credits: 3
This course introduces students to Apache Spark, a powerful big data processing framework, with a focus on its application in analyzing large-scale datasets. Students will learn to leverage Spark’s capabilities using Python, emphasizing the latest Spark 2.0 DataFrame syntax. The curriculum covers advanced data manipulation techniques, machine learning applications using MLlib, and real-world problem-solving scenarios. By exploring the technology powering data analysis at major tech companies, students will develop highly sought-after skills in big data processing. The course combines theoretical concepts with hands-on exercises, preparing participants to tackle complex data challenges in various industries. Students will gain proficiency in using Spark for efficient data analysis, machine learning model development, and solving real-world big data problems, positioning them at the forefront of this rapidly evolving field.