Table of Contents

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  1. The Data Scientist’s Toolbox
  2. R Programming
  3. Getting and Cleaning Data
  4. Exploratory Data Analysis
  5. Reproducible Research
  6. Statistical Inference
  7. Regression Models
  8. Practical Machine Learning
  9. Developing Data Products

“Data Professional Laboratory” Data Analyst’s characteristics/required skills

  • Business/Organization Domain Knowledge
  • Curiosity

reference Data Profession Areas

  1. Database Administrator
    • Installs, configures, manages and maintains data system, and also security/protection and sometimes hardware
  2. Data Developer
    • Develops and tunes code  against  data
  3. Business Intelligence Develop
    • Provides tools and datasets to visualize and explore data and KPI
  4. Data Architect
    • Integrates data from multiple platforms, view data as a product of the organization
  5. Data Scientist,
    • Use maths and sciences to make predictions, and provide historical analysis