Short course

Data science short courses

One student pointing towards screen and another at a computer
The details
All levels of study
2022-2023

Impatient to future-proof your career?

More and more companies are realising the importance of data science. So much so that demand for data engineers has tripled over recent years. Data science is the field of study which blends programming skills, domain expertise, mathematics, and statistics to extract meaningful insights from big data.

Having these skills of using raw and unstructured data to determine trends, patterns and correlations in ways that can help companies spot opportunities and negotiate risks are helping our graduates become more attractive in a booming job market. That is why we have created our data science short courses to help our graduates hone these sought after skills and increase their career and employability pathways.

“We need students who have knowledge in a wide range of social science and humanities topics, but who can also work with data science and analytics to understand patterns and trends. There is a real disconnect between people who can communicate well and people that are good at data science. Our short courses aim to bridge that gap.”
Professor Natasha Lindstaedt DEPUTY DEAN OF EDUCATION FOR SOCIAL SCIENCES

 

What will I study?

Data Science for All: R for beginners

This five-day course is designed to prepare you for future courses at the University of Essex if you have no previous programming experience in R. The instructor will teach you how to run R in R Studio (an R programming environment), how to work with basic objects and run operations, and also how to create/merge/subset a data frame. We will also cover some basic data visualisation techniques.

The course has two components daily (from 2-6pm). It will start with a programming lecture session and then a practice session where your questions can be answered interactively and in real-time.

Data Science Bootcamp: R for advanced users

This bootcamp will help you build programming skills in R, which is an important programming language used by data scientists and those that work in data analytics, and is particularly used by social scientists. You will learn things like how to use R and R studio, how to start coding in R, what R syntax is, data types and data structures, how to read data into R and inspect data structures, and how to plot in R and other forms of data visualisation. You will also be introduced to machine learning and see examples from real world datasets.

Data Science Bootcamp: Python for advanced users

This bootcamp will help you build programming skills in Python, which is the programming language of choice of data scientists and analytics professionals. It is a very powerful programming language that helps programmers and data scientists bring speed, versatility and efficiency to data science. You will learn how to use Pandas for data analysis, gain experience of Numpy for processing numerical data, practice plotting and visualisation, as well as learn the foundations of the object-oriented programming in Python.

Lectures will be from 9.30-10.30am and online lab sessions will run from 10.30am-1.30pm.

 

How can I sign up?

If you are either a current Essex student, a new student who will be starting your degree in October 2022, a member of staff or alumnus, please get in touch. Let us know your name, degree course and year of study (or other relevant details if you are a member of staff or alumnus). 

“Essex has a really diverse student body and has some of the best academics in data science in Europe. We would like to be known as the number one institution in Europe for data science training, particularly for non-computer scientists, and to reach students from around the world.”
Professor Natasha Lindstaedt Deputy Dean of Education for Social Sciences

Our vision

The boot camp is part of the University’s plan to create a Data Science and Global South Centre which will merge topics that are often neglected in data science. The hope is for the Centre to bring the humanities, social sciences and computer science closer together, offering collaborations, education and training. This will extend to include Essex’s educational partners in the Global South – in Latin America, Asia, Africa, and Oceania.

The University is home to the Institute for Analytics and Data Science – a centre for excellence that connects scholars, businesses, institutions and authorities to work on their data needs. The Essex data analytics community includes Professor Maria Fasli, Executive Dean for the Faculty of Science and Health, who is UNESCO Chair in Analytics and Data Science.

Essex is committed to putting people at the heart of data science and is part of the unique Essex Centre for Data Analytics partnership with Essex County Council and Essex Police – a programme designed to share data ethically and combine it with the experience of people and communities across Essex, to create powerful insight and inform policy decisions.

 

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