This course provides a comprehensive introduction to data analytics with a focus on leveraging AI techniques. It covers the fundamentals of data analytics, including descriptive, predictive, and prescriptive methods, and introduces machine learning and AI’s role in the field. Participants will explore data preprocessing, visualization, and machine learning algorithms like clustering. The course emphasizes hands-on learning through Python, Jupyter Notebook, and AI libraries such as scikit-learn and TensorFlow. Advanced AI techniques, including deep learning and AI applications for big data, are covered alongside ethical considerations in AI-driven analytics.
Batch Date: 14th Nov’2024 to 19th Nov’2024
Duration : 10 hours