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Benzne Consulting
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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
    • KNN
    • Decision Tree
    • Ensemble Models
    • Linear and Logistic
  • Unsupervised Learning
  • Key Metrics to evaluate Models
  • Model Interpretation