Information System and Business Analytics (2022-2023)
Class
.png?lmsauth=084642c66ee22438277717be9a40a888dcb9bb90) Eduardo Rivera
            Eduardo Rivera
        Lessons
Here is the class outline:
| JOIN CLASS ONLINEYou can find here: 1- The Google Meet link to connect to class online. 2. A link to the folder with all the recordings of the sessions. 1 section | |
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| Week 1 - Introduction to Information Systems, Business Intelligence and Business AnalyticsSession 1 - Introduction to the module Session 2 - Module Overview with an Example 3 sections | |||
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| Weeks 2 and 3 – Data Types and DatabasesSession 1 - Lecture Session - Bank Holiday Session 2 - Seminar Session - Bank Holiday 5 sections | |||||
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| Week 4 – Information Systems and TechnologySession 1 - Lecture Session 2 - Seminar 3 sections | |||
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| Week 5 – Descriptive Statistics and SpreadsheetsSession 1 - Lecture Session 2 - Seminar 3 sections | |||
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| Weeks 6 and 7 – What-If AnalysisSession 1 - Lecture/Seminar Session 2 - Lecture/Seminar Session 3 - Seminar 5 sections | |||||
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| Weeks 7 and 8 – Business Intelligence: Interactive DashboardsSession 1 - Lecture/Seminar Session 2 - Lecture/Seminar 5 sections | |||||
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| Weeks 8 and 9 – Business Intelligence: Data Warehouses and ETL ProcessesSession 1 - Lecture/Seminar Session 2 - Lecture/Seminar 4 sections | ||||
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| Weeks 9 and 10 – Introduction to Machine Learning and Decision TreesSession 1 - Lecture Session 2 - Seminar Session 3 - Seminar 4 sections | ||||
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| Weeks 11 – Regression and ClusteringSession 1 - Lecture/Seminar Session 2 - Lecture/Seminar 3 sections | |||
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| Weeks 12 – Model Performance and EvaluationSession 1 - Lecture/Seminar 2 sections | ||
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| Week 12 - Introduction to Big Data and Neural Networks ApplicationsSession 1 - Lecture Session 2 - Seminar 3 sections | |||
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| Week 13 - Case Studies and Practical ExercisesSession 1 - Seminar Session 2 - Seminar 2 sections | ||
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| Week 14 - Recapitulation, Remarks, DoubtsSession 1 - Lecture/Seminar Session 2 - Lecture/Seminar 2 sections | ||
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