IISc Bangalore - PG Level Advanced Certification Programme in Computational Data Science in collaboration with CCE at IISc 

offered by TalentSprint, Hyderabad

Python Pandas

Seaborn

Data Munging Variables

Matrices

Functions

Derivatives sklearn TF2

keras Google Data Studio

Mini-Projects in Data Cleaning, Handing, Python

Probabilistic Description of Events and Data: Probability Axioms, Random Variables, PDF, PMF, Conditional Probabilty, Independence, Expectation, Variance

Statistical Learning, Experiment Design, Confidence Interval and Hypothesis Testing

Bayesian Learning

Univariate and Multivariate Calculus, Norms of Vectors and Functions

Taylor's theorem and Automatic Differentiation

Fundamentals of Linear Algebra Spaces

Machine Learning Tools

The ML Process: Problem Formulation to Solution

Linear Regression, Bias/Variance, Regularization, Stochastic Gradient Descent

Linear Classification: Logistic Regression, Linear SVM, Classification Metrics (Confusion Matrix)

Nonlinear SVM, Decision Tree

Ensemble Methods: Random Forest, Gradient Boosting

Unsupervised Learning: Clustering, Anomaly Detection

Object-oriented programming (OOP)

Parallel Architectures: Fundamentals of Parallel computer Memory Architecture, Parallel programming with MPI

Parallel Computing with Accelerators: Parallel programming with OpenMP, Accelerated computing using GPU

Scalable Computing with Python: Numba

Introduction to MLOps, Foundations, MLOps for containers, Continuous Integration, Continuous Deployment for ML models, Monitoring and Feedback

Fundamentals of Deep Learning

Multi Layer Perceptron - Deep Neural Networks

Training a MLP - Backprop, Optimization Methods, Rules of Thumb

Convolutional Neural Network for Computer Vision

Recurrent Neural Network for Sequential Modeling

Dimensionality Reduction (PCA, SNE), Generative Models (GANs, VAE)

Reinforcement Learning

Introduction to Big Data storage systems

Introduction to Big Data processing platforms

Deep Dive into Spark: RDD, Narrow, Wide Transformations

Deep Dive into Spark: Designing, implementing, evaluation and validating computational and analytics application using Spark

Fast Data Processing Platforms: Apache Storm

Time Series Models: Time Series for Business and Financial Data

Market Basket Analysis

Portfolio Optimization

Customer Churn Analysis

Data Analytics in Infectious Disease Spread