DM_WK1

Overview of this Lecture / week

Welcome to the first week of the module, Data Mining.  We will only have a lecture this week (no lab work), but check out a few things you can work on to prepare for lab work over the coming weeks.

The lecture this week will take about 2 hours. The topic is an overview to the whole are of Data Mining/Data Science/Machine Learning/Predictive Analytics/… etc, whatever the current marketing trendy work or phrase they are using this week. This will include the context of the topic, examples of how it is being used industry, typical skills and what languages or products are being used. Sometimes it is a case of Theory vs Reality, what we constantly hear or ready about versus what companies are really doing and using

Notes

Click here to download notes for Week 1 – Data Mining Intro.

L1 - Introduction to DM_2020

Videos of Notes



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Lab Exercises

Task 1 – [complete before next week]
Register for the module on Brightspace and review materials.

Task 3 – [complete before next week]
It is recommended that you use your own laptop for the Data Mining Labs.

We will be using SAS Enterprise Miner, and this is hosted by SAS on their cloud platform called SAS OnDemand.

You will need to have Java installed on your laptop. Following the instructions on the following link to install Java. You can install a more recent version of Java

SAS webpage detailing the Java requiremens for using SAS OnDemand Enterprise Miner.

NOTE: If you have a higher or more recent version of Java installed then you do not need to install the version listed on SAS website. The software should work!

IMPORTANT : Make sure you follow all the SAS instruction carefully.  If you miss or skip instruction could result in the software not working for you.  Similarly if you miss or skip any of the lab exercises you might find later instructions might not work for you.

Task 4 – [complete before next week]

Download and install R & Python languages on your laptop.

This will be covered in the Working With Data module.

I’ll be giving some examples in R and Python, along with some exercises over the coming weeks.

What to prepare for next week

It is preferred if you use you own laptop for all lab work. This will allow you to work anywhere on the lab exercises.

Make sure you are using a supported version of Java needed for SAS Enterprise Miner. If not, you will need to upgrade the version of Java on your machine.

Additional Reading Materials

Predictive Analytics 101

Data Science Use Cases

Why Should CIOs Consider Advanced Analytics

IT has 26 Words for Data Mining

Data Mining in Business Chapter

Fayyad Paper on KDD

Overview of Data Warehousing Paper

Corporate Data : A brief histroy – Bill Inmon

Getting an Edge – Irish Times

Analytics in Football

Getting big impact from big data

How to get the most from big data