Unit 1: Introduction to Data Science and AI & ML

Unit 2: R Essentials Programming

Unit 3: Statistical Analysis Initial Data Analysis

Unit 4: Data Acquisition

Unit 5: Data Pre-processing and Preparation

Unit 6: Data Quality and Transformation

Unit 7: Handling Text Data

Unit 8: Principles of Big Data

Unit 9: Big Data Frameworks – Hadoop, Spark and NoSQL

Unit 10: Data Visualization

Unit 11: Inferential Statistics

Unit 12: Sampling and Estimation

Unit 13: Linear Regression

Unit 14: Multiple Linear Regression

Unit 15: Non-Linear Regression

Unit 16: Forecasting models

Machine Learning

Unit 17: Foundations for ML

Unit 18: Clustering

Unit 19: Association Rule mining

Artificial Intelligence

Unit 20: Foundations for AI

Unit 21: Convolution Neural Networks

Unit 22: Recurrent Neural Networks

Unit 23: Deep Learning

COURSE PLAN: (Artificial Inteligence & Machine Learning)

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