ST2187 Business analytics, applied modelling and prediction — различия между версиями

Версия 22:09, 18 сентября 2020

Hi all! Here will be published the information about ST2187 Business analytics, applied modeling and prediction course

Aleksandr Khelvas

Evgeniya Tsybulko

Dr. James Abdey

The book will be edited here on overleaf.com

Home work shcedule

Week 2

Home work files requirements

All student's files should have names

ST2187-2020-FIO-Seminar_NN-FILENAME.XXX

FIO - latin like IvanovII

Cyrillic and special symbols in file names are prohibited.

Course structure

Glossary

Lecture 1 Course structure. Requirements and deliverables. Semantic model of problem. Ontology of Case 1. Bakery (COS Block 1)

Seminar 1 Data. Structured data types. CSV, XML, JSON, YAML. Excel simplest applications. Bakery component description in YAML.

Lecture 2 Introduction to the course, overview, assessment, Monty Hall problem (LSE Block 1)

Seminar 2 ABCD analysis in excel. Histogram in Excel.

Lecture 3 Events in the time. Poisson point process.

Seminar 3 Tracks arriving schedule analysis and simulation.

Lecture 4

Seminar 4

Lecture 5 Descriptive statistics, relationships between variables, Tableau (LSE Blocks 2, 3 and 4)

Seminar 5

Lecture 6

Seminar 6

Lecture 7 Probability, distributions, decision trees (LSE Blocks 5, 6 and 7)

Seminar 7

Lecture 8

Seminar 8

Lecture 9

Seminar 9

Lecture 10

Seminar 10

BIBLIO

1. YAML from Tutorials Point (I) Pvt. Ltd. https://www.tutorialspoint.com/yaml/yaml_tutorial.pdf

2. YAML Ain’t Markup Language (YAML™) Version 1.2 3rd Edition https://yaml.org/spec/1.2/spec.pdf