Fall, 2021
This course is designed to introduce students to business intelligence concepts and provide students with an understanding of data mining techniques, mathematical models along with business intelligence tasks, e.g., regression, time series, classification, association rules, clustering. We also provide some business intelligence applications in reality. Practical experience will be gained by practicing hands-on tutorials with leading BI software (Tableau). The objectives of this course are as follows: (i) student will define the importance of business intelligence; (ii) student will understand and be able to apply data mining techniques in various business intelligence tasks; (iii) student will understand how to use the Tableau software.
Evaluation categories | Weight (%) | Types |
---|---|---|
Process evaluation 1 | 10 | Process Exercise |
Process evaluation 2 | 20 | Essay |
Mid-term examination | 20 | Presentation |
Final examination | 50 | Report |
Group | Day | Google Classroom | Google Meet |
---|---|---|---|
N2 | Friday [1] | | |
Weeks | Topics | Resources |
---|---|---|
1 |
Course Introduction Machine Learning for Predictive Data Analytics |
Intro.pdf Week-01.pdf |
2 | Decision Tree Learning - Part 1: Classification | Week-02.pdf |
3 |
Hands-on Practice: - (1) Taking Off with Tableau - (2) Connecting to Data in Tableau |
Week-03 |
4 | Decision Tree Learning - Part 2: Regression | Week-04.pdf |
5 |
Hands-on Practice: - (3) Moving Beyond Basic Visualizations - (4) Starting an Adventure with Calculations and Parameters |
Week-05 |
6 |
Statistics Fundamentals Hands-on Practice: - (5) Leveraging Level of Detail Calculations - (6) Diving Deep with Table Calculations |
Week-06-A.pdf Week-06-B |
7 |
Hands-on Practice: - (7) Making Visualizations That Look Great and Work Well - (8) Telling a Data Story with Dashboards |
Week-07 |
8 |
Hands-on Practice: - (9) Visual Analytics - Trends, Clustering, Distributions, and Forecasting |
Week-08 |
9 | Bayesian Learning | Week-09.pdf |
10 | Association Analysis: Basic Concepts |
Week-10A.pdf Week-10B.pdf |
11 | Mid-term Examination | N/A |
12 |
Final Project Presentation Hands-on Practice: - (10) Advanced Visualizations - (11) Dynamic Dashboards |
Week-12 |
13 |
Final Project Presentation Hands-on Practice: - (12) Understanding the Tableau Data Model, Joins, and Blends |
Week-13 |
14 |
Final Project Presentation Hands-on Practice: - (13) Structuring Messy Data to Work Well in Tableau - (14) Taming Data with Tableau Prep |
Week-14 |
15 |
Final Project Presentation Hands-on Practice (Self-study): - (15) Sharing Your Data Story |
Week-15 |
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