Course Syllabus

Introduction to Business Intelligence and Analytics

The tentative class schedule is as follows. I reserve the right to make changes in the schedule, as appropriate, based on the specific course situation and class level. Any changes will be announced in class and posted here.

COURSE SCHEDULE

Date

Location

Topic

Content

August 24 Lecture Introduction Introduction to the Business Analytics
26 Lab Visual Analytics i Introduction to Visual Analytics and Tableau 1
31 Lab Visual Analytics ii Tableau 2
Sep 2 Lab Visual Analytics iii MS Power BI Designer 1
7 Lab Visual Analytics iv MS Power BI Designer 2
9 Lab Visual Analytics v MS Power BI in Excel 1
14 Lab Descriptive Analytics i MS Power BI in Excel 2
16 Lab Descriptive Analytics ii Sentiment Analysis with Semantria
21 Lab Descriptive Analytics iii Web Analytics with Google Analytics
23 Lab Descriptive Analytics iv Process Mining with Disco
28 Lab Predictive Analytics i Introduction to Predictive Analytics
30 Lab Predictive Analytics ii Linear & Nonlinear Regression
Oct 5 Lab Predictive Analytics iii Forecasting Techniques
7 Lab Predictive Analytics iv Introduction to Data Mining
12 Lab Predictive Analytics v Data Mining: Clustering
14 Lab Predictive Analytics vi Data Mining: Classification
19 Lab Predictive Analytics vii Data Mining with RapidMiner 1
21 Lab Predictive Analytics viii Data Mining with RapidMiner 2
26 Lab Predictive Analytics ix Spreadsheet Modeling I
28 Lab Predictive Analytics x Spreadsheet Modeling II
Nov 2 Lab Predictive Analytics xi Monte Carlo Simulation
4 Lab Predictive Analytics xii Monte Carlo Simulation and Risk Analysis
9 Lab Prescriptive Analytics i Introduction to Prescriptive Analytics
8 Lab Prescriptive Analytics ii Linear Optimization I
16 Lab Prescriptive Analytics iii Linear Optimization II
18 Lab Prescriptive Analytics iv Applications of Linear Optimization
23 Lab Prescriptive Analytics v Integer Optimization
30 Lab Prescriptive Analytics vi Decision Analysis
Dec 2 Lab Open Lab to finish Assignments
7 Lab Introduction to Big Data Analytics   Apache Hadoop Ecosystem & Radoop

 

The greatest moments are those when you see the result pop up in a graph or in your statistics analysis – that moment you realise you know something no one else does and you get the pleasure of thinking about how to tell them.

Emily Oster brainyquote
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