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Data Mining and Big Data
Please note to take this course you must first have completed Foundations of Econometrics
The purpose of this course is to provide students with an introduction to data mining and how to best handle big data. Most applied research relies on data that is only getting larger and more complicated. Researchers have to first clean, manage and mine the data to better understand any existing relationships and guide analysis. This course is aimed towards research and public policy applications.
This module can be taken alone, or as part of a PG Certificate, PG Diploma or Full Masters Program.
- 10 Credits
- 100 hours of study
- 15 contact hours
- 85 hours for private study
Faculty
Structure
Structure
Data Mining and Big Data Management is an elective 10 credit course and therefore students are expected to input approximately 100 hours of study into the course.
The total number of contact hours is 15 hours. This leaves 85 hours for private study.
Lectures
This module consists of 2 - hour lectures per day for 5 days, plus a 1 - hour tutorial per day.
There will be optional clinics on the last day of the course.
The dates of each lecture are confirmed closer to the start of each term. If you have any questions about dates, please contact edu@timberlake.co.uk.
Module Programme
Introduction to Big Data
- Types of data (data structure, size, etc.)
- What makes data labelled as big data
- Data storage and quality
- Inputting and outputting data
- Merging, appending, and producing data
Coding with Big Data
- The art of coding
- Organizing programming files
- Doing repetitive things
- Looping
Data Visualization
- Introduction to machine learning
- Benefits of machine learning
- Basic machine learning alghorithms
Machine Learing - continued
- LASSO
- Random Forest
- Unsupersived and supervised regressions
Prerequisites
English Language Requirements
Both Programmes are open to applicants anywhere in the world. We may ask applicants to provide a recognised English language qualification, dependent upon their nationality and where they have studied/worked previously.
The requirement is an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We will also consider other English language qualifications. If their score is below our requirements, they may be eligible for one of Lancaster University's pre-sessional English language programmes.
Academic Requirements
Applicants to the Postgraduate Certificate of Achievement, Postgraduate Certificate, Postgraduate Diploma or full MSc in either programme require either an upper second-class degree in economics, econometrics or related subjects.
Module Requirements
'Module Requirements' - for some modules they must have first completed other modules, for example for this course students must first complete 'Foundations of Econometrics"
Learning Outcomes
- Different data structures
- Coding dos and donts
- Looping
- Data visualization
- Data (text) mining
- Machine learning
- Understand big data basics (data storage, quality, etc.)
- Handle all sorts of data properly
- Data movement and manipulation
- Identify inconsistencies and problems with the data
- Present complex data in graphs and plots that are easy to follow
- Apply basic machine learning algorithms
- Work effectively both individually and within a team environment
Frequently Asked Questions
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
A Collaboration Like No Other
Timberlake Consultants and Lancaster University Management School (LUMS) Economics department have a longstanding partnership; combining 40+ years of industry expertise with over 50 years of academic excellence. We are delighted to build on this with our micro-credential postgraduate courses.
Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education
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Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education