ADAD

OBJECTIVE

The objective of this course is to provide participants with comprehensive understanding of Artificial Intelligence (AI) and Data Science concepts, tools, and techniques. The course aims to empower learners to apply these skills to solve real-world problems.

COURSE COVERAGE

LANGUAGE SKILLS

Basic syntax - Control flow - Functions and modules - File handling - Exception handling - List comprehensions - OOP concepts.

DATA MANAGEMENT

Creating tables - Data manipulation - Queries (SELECT, JOIN, GROUP BY) - NoSQL basics - CRUD operations - Unstructured Data.

DATA WRANGLING

Arrays operations - Indexing - Linear algebra - Series and DataFrame - Data cleaning - Merging and joining - Time series data.

DATA VISUALIZATION

Basic plotting (line, scatter, bar) - Customizing plots - Subplots - Histograms and box plots - 3D plotting.

MACHINE LEARNING & DEEP LEARNING

Data preprocessing - Model selection - Supervised/Unsupervised algorithms - Neural networks (CNN, RNN, NLP) - Model evaluation.

Setting up repository - Version Control - Branching & Merging - Collaboration.