Data Visualization and Communication
In this course, students will learn how to effectively communicate data insights through data visualization. They will explore various visualization techniques and tools, such as Tableau and Power BI, and learn how to create compelling visual representations of complex data. The course also emphasizes the importance of storytelling and presenting data in a meaningful way.
Machine Learning and Predictive Modeling
This course delves into the field of machine learning and predictive modeling. Students will learn how to develop and evaluate predictive models using algorithms such as decision trees, random forests, and neural networks. They will also gain hands-on experience in using popular machine learning libraries, such as scikit-learn and TensorFlow.
Big Data Analytics
In today’s data-driven world, understanding how to handle and analyze large volumes of data is crucial. This course focuses on the challenges and techniques involved in big data analytics. Students will learn how to process and analyze large datasets using tools like Apache Hadoop and Apache Spark. They will also explore techniques for distributed computing and data parallelism.
