Short course

Data science short courses

One student pointing towards screen and another at a computer
The details
All levels of study
2022-2023
9-13 January 2022

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.

Run through Moodle, our Virtual Learning Environment; the classes will be split into two separate sections; the first hour will be a live class taught by one of our Data Science Professors, followed by 3 hours of academic support, where you can ask the professor and the Graduate Learning Assistants questions that you may have about the content of the lecture. Don't worry if you can't attend the live session though, as it will all be recorded and you can watch it at your leisure. You are welcome to attend all 3 courses, however they have been developed to cater to different audiences depending upon your existing knowledge of data science.

This is a non-credit bearing module, with no final examination, and participation is entirely voluntary. However please do let your instructor know should you wish to stop attending, so that we can record how many students complete the course.

Taking part in the courses will form part of the Big Essex Award and Chart my Path which you can sign up to and which will form part of your final degree transcript.

 

“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

Instructor: Dr Sefki Kolozali

This course will help you build programming skills in Python programming language. Python is the programming language 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.

During this course 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.

  • Lecture: 9:30am to 10:30am
  • Academic Support hours: 10:30am to 1:30pm

Please be aware, hours may be subject to change.



Enrol on Moodle

Data Science Bootcamp: R for advanced users

Instructor: Dr Haider Raza

This course will help you build programming skills in R programming language. R is an important programming language used by data scientists and those that work in data analytics, and is particularly used by social scientists.

During this course 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 visualization. You will also be introduced to machine learning and see examples from real world datasets.

  • Academic Support session: 9.30am - 10am
  • Lecture: 10am to 1pm
  • Academic Support session: 1pm to 1:30 pm

Please be aware, hours are subject to change.



Enrol on Moodle

Data Science Bootcamp: Python for advanced users

Instructor: TBA

This five-day workshop is designed to prepare students for future courses at the University of Essex when they 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 workshop has two components daily. It will start with a programming lecture session and then a practice session where students’ questions can be answered interactively and in real-time.

Course hours to be confirmed.



Enrol on Moodle

 

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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