Course 0 - Pre Course Requisites (3 Weeks)
- Fundamentals of Calculus and Probability
- Basics of R Programming
- Basics of Python Programming
Course 1 - Data Analysis and Visualization (10 Weeks: 1 Assignment)
- Functional Programming in Python
- Data Structures and Algorithms
- Database Design and Introduction to MySQL
- Tableau
- Essential Data Science Tools: Github and Jekyll
Course 2 - Data Mining and Discovery (10 Weeks: 1 Assignment)
- Libraries for Data Science: Numpy, Pandas
- Advance Visualisation
- Exploratory Data Analysis
- Inferencing from Data with R
- Hypothesis Testing with R
- Course 3 - Introduction to Machine Learning (11 Weeks: 1 Assignment)
Course 4 - Data Base Development and Management (9 Weeks: 1 Assignment)
- Building Linear Regression Models from Scratch
- Linear Regression practical applications
- Logistic Regression
- Decision Trees
- Random Forest
- PCA
- Clustering
- Bagging, Boosting and Regularization
- Model Selection and Feature Engineering
Course 5 - Data Warehousing and Analytics in the Cloud (10 Weeks: 1 Assignment)
- Introduction to Cloud
- Elastic Provision Services of Cloud and Setting up Cloud
- Introduction to HDFS
- Hive Querying
- Introduction to Spark
- Handling Big Data with Spark
- SparkML
Capstone Project - 1 (5 Weeks)
- Best practices for Effective Communication
- Capstone Project
Course 6 - Neural Networks (10 Weeks: 1 Assignment)
- Introduction to Neural Networks
- CNN
- RNN
- Computer Vision
Course 7 - Applied Natural Language Processing (10 Weeks: 1 Assignment)
- Lexical Processing
- Syntactic Processing
- Semantic Processing
- Introduction to Attention Mechanism
- Advanced Language Models: BERT, GPT
Course 8 - Managing the Digital Information Environment (10 Weeks - 1 Assignment)
- Structured Problem Solving
- Data Storytelling
- Framework to DS/ML Solution Building Strategy
- Building Data Architecture
- Introduction to MLOps
- Introduction to Data and Model Lifecycle
Course 9- Ethical Issues in Information (9 Weeks - 1 Assignment)
- Ethical Foundations
- Ethics in Data
- Ethics in Modelling
Capstone Project - 2 (5 Weeks)