COMP6235: Foundations of Data Science - SOTON - S1 17/18

Slides

NameDownload LinkType
Introduction to Lecturelecture0.pdfPDF
Data Analytics Thinkinglecture1.pdfPDF
Statistics part of COMP6235lecture2.pdfPDF
Describing Distributionlecture3.pdfPDF
The normal distribution,estimation, confidence intervals.lecture4.pdfPDF
Relationship between two variables: correlation, covariance and r-squaredlecture4b.pdfPDF
Sampling and the central limit theoremlecture5.pdfPDF
Data collection and managementlecture6.pdfPDF
Big data and cloud computinglecture7.pdfPDF
Data Streaminglecture8.pdfPDF

Coursework Tutorials

NameDownload LinkType
R tutorialcw-lecture1.pdfPDF
Assessment and coursework in COMP6235cw-lecture2.pptxPPTX
CW2 Help Sessioncw-lecture3.pdfPDF
COMP6235 MongoDB Tutorial (HTML)cw-lecture4.htmlPDF
COMP6235 MongoDB Tutorial (IPYNB)cw-lecture5.ipynbPDF
COMP6235 MongoDB Tutorial - answers (HTML)cw-lecture6.htmlPDF
COMP6235 MongoDB Tutorial - answers (PDF)cw-lecture7.pdfPDF
Software for the courseworkscw-lecture8.pptxPPTX

Non-coursework tutorials

NameDownload LinkType
Hadoop Tutorialncw-lecture1.pdfPDF
Hadoop Tutorial (IPYNB)ncw-lecture2.ipynbPDF
Tutorial 2 Hadoop and HDFSncw-lecture3.pdfPDF
Tutorial 2 Hadoop and HDFS (IPYNB)ncw-lecture4.ipynbPDF
Spark Tutorialncw-lecture5.pdfPDF

Guest Lectures

NameDownload LinkType
Data Science for Smart TransportationDataScienceForSmartTransportation.pdfPDF

Courwork

ItemTitleDownload Link
CW1Statistics CourseworkGitHub Repository
CW2Data ProcessingGitHub Repository
CW3Group ProjectGitHub Repository

Grades

CWGrade
CW172%
CW285%
CW365.4%

Syllabus

ItemDownload LinkType
1syllabus.pdfPDF

Wiki Page

ItemDownload LinkType
1wiki.pdfPDF