1. Data Analysis with Python

1.1 Data Science Fundamentals

1.2 Recap: Python for Data Science

1.3 Recap: Statistics for Data Science

1.4 Data Operations with Numpy

1.5 Data Manipulation with Pandas

2. Data Visualization Techniques

2.1 Introduction to Data Visualization

2.2 Data Visualization using Matplotlib

2.3 Hands-on Pandas for Rapid Visualization

2.4 EDA & Data Storytelling

3. EDA & Data Storytelling

3.1 Introduction to Exploratory Data Analysis

3.2 EDA Framework Deep Dive

3.3 Scientific Exploration of Industry Data - I & II

3.4 Student Presentations & Insight Delivery

4. Machine Learning Foundation

4.1 Intro to ML

4.2 Linear Regression

4.3 Principal Component Analysis

4.4 K-means Clustering

5. Machine Learning Intermediate

5.1 Naïve Bayes Classifier

5.2 Logistic Regression

5.3 KNN (K-Nearest neighbors)

5.4 Decision Tree

6. Machine Learning Advanced

6.1 Ensemble Learning

6.2 Recommender System

6.3 Time Series Analysis

6.4 ML Model Optimization

7. Basics of AI and Deep Learning

Module 1: Introduction to Artificial Intelligence

Module 2: Introduction to Deep Learning

Module 3: Components affecting Deep Learning Models

Module 3: Deep Learning Model Practical with Tensorflow and Keras

8. CV

Module 1: Intro to Convolutional Neural Networks

Module 2: Decoding Image Components

Module 3: Identifying MNIST using CNN

Module 4: Preprocessing Image Data to apply CNN

9. NLP

Module 1: Introduction to NLP & Word Vectors

Module 2: Decoding a Textual Data

Module 3: NLP using Recurrent Neural Networks (RNN)

Module 4: NLP using Memory Alterations

10. Specilization in CV

Module 1: Transfer Learning

Module 2: Object Detection using CNN-based Algorithms - I

Module 3: Object Detection using CNN-based Algorithms - II

Module 4: Instance Segmentation in Images

11. Specilization in NLP

Module 1: Teach Machines to Generate New Textual Data (Language Modeling)

Module 3: Language Translation - English to Spanish using Seq2Seq Models

Module 4: Techniques to Enhance Seq2Seq Models (Attention Mechanism)

Module 2: Advanced NLP using BERT

12. Building AI Solution

Module 1: Intro to Cloud Computing

Module 2: AI on Google AI Platform

Module 3: Building AI Pipeline

Module 4: Building AI Solution