DATA SCIENCE AND ML FUNDAMENTALS WORKSHOP : COURSE OUTLINE

DATA SCIENCE AND ML FUNDAMENTALS WORKSHOP : COURSE OUTLINE

Duration: 3 Days

 

Foundation of Data Science (Day 1)

● Introduction to Data Science
● Common Terms in Analytics
● Artificial Intelligence V/s Machine Learning V/s Deep Learning
● Types of problems and Business objectives in various industry
● Overview of Analytics Tools and their Popularity
● Analytics Methodology & problem-solving framework
● Steps by step process to analytics problem
● Solution Design for the problem statement
● Introduction to Data Science libraries

 

Storytelling with Data Science and Data Munging techniques (Day 2)

● Foundation of Data Science using statistics
● Understanding of Exploratory Data Analysis
● Data Visualization
● Cleansing Data
● Data Manipulation
● Business Intelligence and its interpretation
● Storytelling with Data
● Data Preparation
● Case study

 

Machine Learning (Day 3)

● Introduction to Regression and Classification
● Knowing your task and knowing your data
● Supervised Learning Models

o KNN
o Decision Tree
o Ensemble Models
o Linear and Logistic

● Unsupervised Learning
● Key Metrics to evaluate Models
● Model Interpretation

 

 

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