Analytics & Data Science Summer School | IADS, University of Essex

#IADSSummerSchool

iadssummerschool@essex.ac.uk

IADS|

Institute for Analytics and Data Science

Analytics, Data Science & Decision Making Summer School

25 July - 5 August 2022

University of Essex, UK

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About Our Summer Training

The Institute for Analytics and Data Science is presenting its annual Summer School bringing you two weeks of cutting-edge courses across the fields of data science, analytics and decision making.

Our Summer School provides a unique opportunity to:

attend state-of-the-art courses delivered by world leading academics and industry partners from around the globe
attend Keynotes from experts in the field
immerse yourself in the topics of data science, and
network with your peers in an invaluable forum for knowledge exchange.

Whether you're interested in the curation and management of big data, advanced techniques and methods including artificial intelligence and statistical methods, or applications of big data in fields ranging from business and finance to bioinformatics, you'll find a set of relevant courses for you.

Eligibility

There are no specific eligibility requirements to book a place on the Summer School.

We welcome graduates, students, researchers and professionals in the emerging fields of big data, data science and analytics who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field.

We accept applicants from all levels and experience from around the world and offer a range of introductory and academic courses to suit your needs.

Whilst we do not restrict access to courses, when selecting the courses that make up your programme please pay attention to our recommended prerequisites. These prerequisites are stipulated to ensure that all attendees make the best out of their time with us.

If you are unsure whether a certain published course is right for you, please do not hesitate to contact us at iadssum@essex.ac.uk and a member of the IADS team will be happy to advise you on whether a course is suitable for your requirements and skillsets.

Teaching Programme

Our courses cover a wide range of topics from multiple perspectives.

Whether you’re exploring data science, or have advanced practice, we have a range of introductory and academic courses to suit your needs.

Please note that some courses may have pre-requisites, or preparation may be required before attending. All this information is detailed in the course outline which you will be able to download from the spring.

Our school provides you with invaluable practical industry experience.

Our delegates are given real scenarios from our partner businesses, and tasked with solving these

in groups. This provides you with a unique opportunity to apply your data analytics skills within real-life situations, and develop your communication and presentation skills.

Proposals will be formed in groups and presented to businesses on the final day of the conference.

There typically 4 parallel sessions running each day, each week, mainly six hours in length, and delegates are able to create a tailored programme of study by selecting one focus for each week they attend. To exemplify, for week one you can choose one of the four options presented under week one, and for the second week you can choose a new focus area from the topics presented under week two. This will be asked on our registration page. The 2022 schedule will resembled the following course outline*:

Week One 25th July - 29th July

All Focuses Day 1

On the first day of the programme every delegate will attend an introduction to the summer school followed by a choice between two courses:

Basics in Python using Colab
Data Protection, Security, Ethics, and Liability in the Age of Big Data

Focus 1: Introduction to Deep Learning

Deep Learning for Images and Texts Parts 1 & 2
Machine learning for causal inference from observational data
Interpreting Classifiers

Focus 2: Natural Language Processing

Introduction to Natural Language Processing
Practical Text Analtyics and Sentiment Analysis from Social Media
Traditional and Deep Learning Methods
Transfer Learning with Transformers in NLP

Focus 3: Introduction to R

An overview of the R programme
How R is used and applied in a variety of practical situations

Focus 4: Introduction to Machine Learning

Intro into Machine Learning
Tree-Based Models for Machine Learning in Data Analytics
Machine learning for causal inference from observational data
Learning with Small Data Sets

Week Two 1st August-5th August

Focus 1: Continued Deep Learning Topics

Introduction to Tensorflow and Deep Learning
Learning Under Different Training and Testing Distributions
Transformers
Recurrent Neural Networks with Kera
Best Practice Analytics

Focus 2: SPECIALISED FOCUS***

We are currently developing a surprised specialised focus that will be announced in the coming months.

Please stay tuned for this exciting new release!

Focus 3: Advanced R Topics

Introduction to Data Visualisation Using R
GIS analysis in R
Bayesian Analysis in R
Advanced R Programming

Focus 4: Optimisation Topics

Bandits, Learning, and Search
The Synergy of Optimisation and Machine Learning Parts 1 & 2
Network Science

Final Day Friday 5th August

This final day of the summer school will include two courses and a celebratory certificate hand out. The two course choices include:

Infrastructure Management
Topic from the SECIALISED FOCUS to be announced

Our full programme and detailed course list will be available to download in Spring 2021.

*Please note this programme may be subject to final confirmation.*

SOCIAL EVENTS | KEYNOTES | NETWORKING

Throughout weeks one and two we will be providing a variety of events to enhance your experience!

25 July | Welcome Evening Reception

26 July | Keynote Speaker BT

01 Aug | Keynote Speaker

03 Aug | Formal Dinner Evening Wivenhoe House Hotel

*We are currently revising our schedule and social events. Updates will take place in the coming months so please check back in periodically for the most up-to-date info.

Providers from 2021

Bringing Together Great Minds in Data Science.

Training. Networking. Career Building.

6

6 YEARS OF RUNNING
SUCCESSFUL SUMMER TRAINING

60

OVER 60 PROVIDERS AND KEYNOTES FROM AROUND THE WORLD

32

OVER 32 ESSENTIAL TRAINING SESSIONS TO CHOOSE FROM

550

OVER 550 SATISFIED DELEGATES IN THE PAST FIVE YEARS

In the past we have had representation from many leading organisations, including

Travel & Stay

How To

Get Here

university of essex, essex business school, summer school, data science

The University of Essex's Colchester Campus is just one hour from London and Stansted Airport, and set in over 200 acres of beautiful parkland, homes over 20 academic departments and schools.

You can find our more about travelling to the Colchester Campus here.

Discount Accommodation

Delegates will be able to book accommodation on site of the Summer School at very affordable rates.

The accommodation offers your own room with exclusive en-suite facilities, linens, and shared access to a kitchen, utensils, and crockery, so you can socialise with other delegates too.

Nearby Attractions

Our Colchester campus is situated very close to the historic centre of Colchester, England's oldest recorded town where there is plenty to see.

London attractions are also only a one hour train ride away, including one of the largest shopping centres in Europe. Also an hour away is the beautiful city of Norwich.

Programme Fees

Programme fees differ depending on whether you are a University student, University staff member, or a commercial delegate.

Further discounts are available for early-bird registration, and alumni from the University of Essex.

Tuition fee discounts are also available for students at partner universities - please get in touch for details.

The 2022 Summer School is competitively priced to include*:

A tailored programme of courses and access to preparatory and bonus materials from our providers using a secure drive.
Expert Providers and a Business Industry Leaders to provide you with high level content, hands-on experience, and professional insight.
Keynotes from experts in the field.
A delegate pack full of resources, information, and memorabilia.
Evening social activities and networking events.
A certification upon completing your course, endorsed by the University of Essex and the Institute for Analytics and Data Science.

Applications for our 2022 Summer School will open in early Spring 2022.

Tuition fee discounts are available for students at partner universities - please get in touch for details.

Fees for the 2022 Summer School are:

Details on how to apply for the course will be released when registration opens in spring 2022.

The IADS cancellation policy is governed by University Summer School regulation. Cancellations up to and including Friday 8 July 2022 with reasonable justification, as decided by the IADS Director, will be refunded in full. There is a £50 administrative charge to action this, which is waived in full for unsuccessful visa attempts only. No refunds will be issued for cancellations made after this date.

How To Apply

Registration for the 2022 Summer School will open in early Spring 2022

Contact Us

If you have any queries or concerns, please contact the IADS Executive Officer

Email: iadssum@essex.ac.uk

Phone: UK 01206 87 34 96

Main IADS website: https://www.essex.ac.uk/research/institutes-and-centres/institute-for-analytics-and-data-science

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