Course Code: datasci
Duration: 21 hours
Course Outline:

A. Data Science and Analytics Foundation

  1. Introduction to data-driven thinking
  2. Types and formats of data (structured/unstructured)
  3. Basic statistics: mean, median, mode, standard deviation
  4. Data quality, cleaning methods, and use of spreadsheets
  5. Visualization techniques (charts, graphs)

B. Data Science and Analytics Technical

  1. Programming for Data
    • Python or similar tool for beginners
    • Variables, data structures, and functions
    • Organizing datasets
    • Libraries for data manipulation
  2. Deeper Analysis
    • Data cleaning, filtering, and merging
    • Identifying trends, patterns, and relationships
    • Code-based visualizations
  3. Introduction to Data Modeling
    • Predictive modeling basics
    • Creating a basic model
    • Model evaluation techniques

C. JavaScript Foundation

  1. JavaScript Fundamentals
    • DOM manipulation
    • Interactive features (forms, buttons)
    • Using data from APIs
  2. Dynamic Web Interaction
    • Chart libraries (e.g., Chart.js)
    • Customizing charts
    • Connecting data to charts