Students will learn the latest technologies, including Tableau and Python, in the field of data analytics.

ZD-1201 and ZD-2401

Lectures

1. Statistics

   1. Introduction
   2. Descriptive Statistics
      1. Tables and Graphs
      2. Averages
      3. Variability
      4. Normal Distributions and Standard (z) Scores
      5. Describing Relationships: Correlation
      6. Regression
   3. Inferential Statistics
      1. Probability Distributions
      2. Sampling Distributions
      3. Sampling Distributions Example
      4. Estimation
      5. Hypothesis Testing
      6. t-Table
      7. t-Tests
      8. Chi-Square Statistic
      9. ANOVA
   4. Tables

2. Tableau

   1. Tableau - Getting Started
   2. Tableau - Connecting to Data
   3. Tableau - Visualization - Introduction
   4. Tableau - Filtering and Sorting
   5. Tableau - Data Aggregation
   6. Tableau - Calculated Field
   7. Tableau - Geo Map
   8. Tableau - Trend Lines
   9. Tableau - Forecasting
   10. Tableau - Dashboard and Stories

3. R Language

   1. Basics
   2. Advanced Visualization
      1. ggplot2
      2. dplyr
      3. Plotly
      4. Shiny
      5. Visualization Best Practices
      6. Geospatial

Assessment

• ZD-1201
  • Examination: 30%
  • Coursework: 70%
    • Two Lab Tests (20%)
    • Six Class Tests (30%)
    • Project (20%)
• ZD-2401
  • Coursework: 100%
    • Two Lab Tests (30%)
    • Two Class Tests (30%)
    • Two Class Quizzes (20%)
    • One Project (20%)

Recommended Books/Resources

• Tableau
  • Tableau - Training Videos
  • Practical Tableau
  • DataCamp - Introduction to Tableau
• Statistics
  • An Introduction to Statistical Learning
  • Modern Statistics with R, Måns Thulin
  • Statistics 11 Edition, Robert S Witte and John S Witte, Wiley
  • Tables

Academic Calendar

• Tuesday 9:50-11:40 APB G.35
• Friday 2:10-4:00 APB G.35