Post Graduate Program on Applied Data Science with Deep Learning and Specialisation (TEKS-RISE)

Introduction to Applied Data Science

Domains, Business and Data

Use Cases and Problem Statement understanding

Data Science Project Life Cycle

Exploratory and Colloborative Programming

Quiz

Advanced Data Structures and Manipulation using Python

RDBMS and writing SQL

Working with Files

Processing Big Data

Experiment Design and Analysis

Data Analysis using Excel

Quiz

Supervised and Unsupervised Learning

Predictive Modelling / Machine Learning

Types of Algorithms

Scenario-Algorithm Selection

Model Training Selection

Cost Functions

Quiz

Descriptive Statistics

Inferential Statistics

Probability Theory

Tests of Significance

Quiz

Statistical Techniques

Linear Algebra

Visual Exploration

Data Mining

Feature Engineering

Machine Learning Pipelines

Causal Inference

Quiz

EDA Project Assignment

Solving Prediction Problems through Linear Regression

Data Exploration

Pre-processing and Feature Engineering

Creating an LR model

Optimizing Models through RFE and VIF methods

Testing LR Assignments

LR Project Assignment

Quiz

Estimating Probabilities

Logistic Regression Cost Functions

Softmax Regression

Performance Matrix

ROC Curve and AUC

Optimizing Logistic Regression

Quiz

Logistic Regression Project Assignment

Introduction to Decision Trees

Gini Index and Entropy

Measuring Performance

Introduction to Random Forest

Random Forest Process Steps

Model Performance and Tuning

Quiz

Random Forest Project Assignment

Introduction to PCA(Predictive Component Analysis)

PCA Process Steps

Data Standardization

Finding Covariance Matrix of our Dataset

Eigen Vectors and Eigen Values

Recast Data using new PCAs

Expained Variance Ration and Screen Plot

Quiz

PCA Project Assignment

Introduction to Support Vector Machine

Linear SVM Classifications

Non-Linear SVM Classification

Polynomial Kernel Trick

Quiz

SVM Project Assignment

Unsupervised Learning

Introduction to PCA

PCA Process Steps

Centroid Optimizing / Convergence

Other Considerations

Optimizing Number of Clusters

Quiz

K-Means Project Assignment

Neural Nets

Perceptron and MLP (Multi Layered Perceptron)

Introduction to TensorFlow

Introduction to Keras

Classification MLPs

Regression MLP

Quiz

Deep Neural Network Project Assignment

CNN Architectures

Training a CNN

Image Pre-processing Techniques

Transfer Learning with CNN

TensorFlow Implementation of CNN

Object Detection

Quiz

Object Detection Project Assignment

RNN Architectures/p>

Training an RNN

Unstable Gradients Challenge

LSTM Architecture

Training and Predicting a Time Series

Quiz

LSTM Project Assignment

Generating Text using a RNN

Bidirectional RNN

Attention Mechanism

Encoder-Decoder Models

Natural Machine Translation using an Encoder-Decoder Model

Quiz

NLP Project Assignment

Understanding ML Lifecycle

Creating Docker Containers for ML Deployments

Manage Kubernetes Deployments

Setting up AI Pipelines

Training, Tuning and Serving a Model

Kubeflow Pipelines

CI/CD on KubeFlow Pipelines

Choice and Briefing of Capstone Projects

Research, Analysis and Methodology

Presentation Techniques - Paper and Visual

Current AI Trends

Start-ups and Products in Data Science/AI/ML

Upcoming Genre of Products

Understanding AI Products Development Lifecycle

Deep Learning Market

Create various Charts and Graphs

Create Dashboards

Create Data Hierarchies

Story-telling

Working with Parameters

Creating Data Extracts

Applying Filters

Calculated Fields

Mapping in Tableau

Advanced Charts

Publish to Tableau Online

Fundamentals of R

Vectors

Functions

Packages

Matrix

DataFrames

Visualisations using GGPlot2

Creating a Linear Regression Model using R

Creating a Logistic Regression Model using R