Empowering Change Through Evidence, Innovation, and Partnership.
Empowering Change Through Evidence, Innovation, and Partnership.

Apply Data Science Foundation Course

Tools / Frameworks: Theory

Duration: 2 weeks

Cost: $100

MODULE 1
INTRODUCTION TO DATA SCIENCE

  • What is data science?
  • Evolution of data science
  • Data science terminologies

MODULE 2
DATA SCIENCE VS BUSINESS
ANALYTICS VS BIG DATA

  • Comparing various related
    domains with data science

MODULE 3
CLASSIFICATION OF BUSINESS
ANALYTICS

  • Cleaning & Analyzing
    spreadsheet data
  • Working with Descriptive
    analytics
  • Predictive analytics
  • Discovery analytics and
    prescriptive analytics
  • Working with various data
    types
  • Finding and fixing data
    anomalies

MODULE 4
DATA SCIENCE PROJECT WORKFLOW

  • CRISP-DM framework
  • Data science project workflow

MODULE 5
ROLES IN DATA SCIENCE

  • Industry roles and responsibilities

MODULE 6
INTRODUCTION TO DATA MODELLING

  • Industry adoption: health care,
    finance & banking, manufacturing,
    retail, logistics, human resource
  • Key use cases
  • Trends on data science adoption