Introduction to Data Science

Course topics

Part 1. Introduction

  • Business Analytics
  • Business Analytics Examples
  • Text Analytics
  • Big Data
  • Cloud
  • Startups
  • Crowd-Sourced Analytics
  • Literature
  • Business Analytics Education
  • Online and In-Person Education
  • Volunteering and Networking
  • Analytics Consortium

Part 2. Review of Linear Algebra

  • Review of derivatives, gradients and Hessians
  • Computing gradients and Hessians
  • Taylor series expansion
  • Finite difference methods
  • Convex functions
  • Checking a matrix for PD and PSD by computing principal minors
  • Checking if symmetric matrix is PD or PSD by computing its eigenvalues
  • Composition rules

Part 3. Basic Statistics

  • Before you analyze your data
  • Sources of uncertainty
  • Summarizing and interpreting your data
  • Quantitative data
  • Categorical data

Part 4. Mathematical Modelling

  • Modeling
  • Predictive Maintenance
  • Modeling Process
  • Model Examples

Part 5. Simulations

  • Simulation Modeling
  • Business Case Study

Part 6. Optimization

  • Overview of Optimization
  • Optimization Techniques
  • Multi-Objective Optimization
  • Mean-Variance Portfolio Selection

Part 7. Data Mining

  • Data mining application classes of problems
  • Classification
  • Clustering
  • Regression
  • Forecasting
  • Hypothesis or discovery driven
  • Iterative
  • Scalable

Part 8. Artificial Intelligence

  • Era of Cognitive Computing
  • Artificial Intelligence
  • Cognitive Computing
  • Spatio-Temporal Analytics

Part 9. Visual Analytics

  • Visual Grids
  • Dashboards
  • Spreadsheets vs. Visual Analytics
  • HR Analytics
  • Infographics

Part 10. Decision-Making Based on Analytics

  • Decision Making and Risk Management
  • Analytics Software

Practice

As a part of the project activities, students participate in the Queen’s International Innovation Challenge — an international contest on Data Science and Business Analytics from Queens University.

UCU Data Science master students gained the 3rd place in 2016 and won the contest in 2017.

Prerequisites

None

 

Lecture sample