Data Science

Outline:

• Introduction to Data Science

-          Terms in Data Science

-          Scope & Skillsets for Data Scientist

-          Big Data & Analytics Types

-          Data Attributes Fundamentals

-          Supervised VS Unsupervised Learning

• Data Science Process

-          CRISP-DM

-          Example of Data Science Project

• Python for Data Science

-          Introduction to Python

-          Logics & Data Structures in Python

-          Pandas, Numpy, & Matplotlib Library

-          Data Cleansing Using Python

-          Data Visualization Using Python

-          Exploratory Data Analysis Using Python

• Machine Learning Algorithms for Predictive Analytics

-          Regression Models

-          Classification Models

-          Performance Evaluation for Predictive Analytics

• Machine Learning Algorithms for Descriptive Analytics

-          Clustering Models

-          Association Rule Models

-          Performance Evaluation for Descriptive Analytics

-         Introduction to Deep Learning

-         Deep Learning for Predictive Analytics

• Optimization for ML and DL Algorithms

-          Feature Optimization

-          Hyper-Parameter Tuning

-          Parameter Optimization

-          Architectural Design Optimization (ADO)