Key Skills:

  • Data Analysis
    • Phases of the Data Analytics Lifecycle
  • Analytical Tools
    • Master various analytical tools for data gathering, cleaning and visualization
  • Analytical Methods
    • Identify and implement data analysis methods

Data Analytics Lifecycle:

  1. Business Understanding (Discovery)
  2. Data Acquisition (Collection)
  3. Data Cleaning (Preparation)
  4. Data Exploration (Exploratory Data Analysis)
  5. Predictive Modeling (Data Modeling)
  6. Data Mining (Machine Learning)
  7. Data Reporting & Visualization (Representation & Communication)

Data Analytics Lifecycle

Tools:

  • Python
  • R
  • SQL
  • Tableau

Methods:

  • Machine learning algorithms
  • Statistical analysis techniques