In response to government's guidelines we are offering our current courses as an interactive, virtual classroom.
70 working days
Study Data Analysis
The need for data analysts is growing in Scotland. We train our students to be data literate – to clean, analyse, and communicate data.
Available now through virtual learning
Launch a career in Data...
Our full-time immersive data analysis course is delivered in a practical, hands-on way. Temporarily available remotely through CodeClan’s Virtual Learning Experience, students will learn through 14 weeks of labs, real life exercises and projects. Students will also get access to a range of career support services and networking opportunities.
Our aim is to prepare students for the real world – what industry needs now. Future-proof your career by entering the world of data analysis.
Edinburgh aims to be the Data Capital of Europe*
of companies in Scotland require data analytic skills*
Data Innovation adds to the Scottish economy*
*Source: Scottish Enterprise
The course in numbers
Hiring & Coronavirus (COVID-19)
Our team will assist and coach you for a role in the technology ecosystem but due to the economic uncertainty our standard placement processes have been slowed. Our goal is to support you through this process with a new profile system, promote your skills and experience to our partners and engage organisations across Scotland to understand who is hiring for full time and part time roles.
Intro to data analysis
We cover the basics of R, version control, reproducibility and best practice, reading in data, data types, functions, control flow, SQL, databases, data wrangling and data cleaning, dealing with outliers and missing values, and basic data analysis. We also explore data management, data governance, and data ethics.
Statistics and visualisation
We cover statistics, visualisation, communicating data, and start to introduce some specialist topics including time series and spatial analysis.
This also includes the basics of hypothesis testing, probability, and simple regression models.
The final module covers more complicated statistics and specialist topics including power analysis, effect size calculation, text mining and multiple regression.
It also covers manual model building, variable engineering, variable reduction, model implementation and performance, cluster analysis, decision tree building, and model testing. It finishes with Python and the option to complete a final project in either Python or R.
There are four projects in the Data Analysis course:
Ethics – presentation on the ethics of data
Dirty data – cleaning messy datasets
Group dashboard – building a dashboard for a client brief
Final business data project – answering a business brief, bringing together the key skills of data interpretation, analysis and communication
“It doesn’t matter how much experience you have with a computer, anyone can learn. I’m amazed at what I can do now.” Delphine, Data Analysis graduate
A typical day
Here’s what your day will look like while you train in our virtual classroom.
All the students and instructors meet for a daily stand up, and to do a review of the homework from the previous night.
Our Virtual Learning Experience simulates a classroom-based environment. Lessons are interactive, with instructor led live coding and student participation. The live lessons are also recorded and available for review afterwards.
A break for lunch so that students can take a breather, socialise and have some food.
Lessons continue in the afternoon, with some days involving afternoon lab work and others focusing more on additional teaching time.
The day recap is completed and students have an opportunity to start their homework.
CodeClan instructors have lots of cross-industry experience, and are on-hand throughout the day to answer your questions.
“Data is one of the most exciting places to be.”
Del has a degree in physics and PhD in computational chemistry, has worked as a researcher and teacher at The Universities of Cambridge, Glasgow, Warwick and Stony Brook (USA), and as a software developer in Edinburgh.
“Data is not just boring spreadsheets.”
Steph has a PhD in cognitive neuroscience, has worked as a researcher and data analysis teacher at the University of Glasgow and UC Berkeley, and has spent time working in the pharmaceutical industry in Edinburgh as a lead data analyst.
“Now is a great time to get into data.”
Aileen has a degree in mathematics and statistics and a masters in actuarial maths. She qualified as an Associate actuary while working in investments and pensions before moving into analytical consulting. She is passionate about data for social impact and in the third sector.
Mhairi has a degree in mathematics and a masters in applied statistics and data mining. She has worked as a data scientist in a range of different industries. She now splits her time between teaching and doing freelance data science work.
Mandy has a degree in psychology with an emphasis on research methods, statistics and data analysis. She is passionate about the visualisation and communication of data.
At CodeClan, we not only prepare you to work in data analysis, we also support our students and graduates into their first role. Our aim is to match you with our hiring partners so that you can find a new job that is a great fit for you and the organisation.
Our Careers Service team holds workshops on how to develop a CV that hiring specialists will love, and run mock interviews. We hold Industry Talks and Fireside Chats with industry partners so our students can better understand roles, responsibilities and culture. And we also organise vistual networking so you can meet hiring organisations in an informal setting and ask your burning questions.
CV & LinkedIn support
Join our Alumni Community
We have a large group of alumni across Scotland. Our Alumni Ambassadors organise events, socials and networking opportunities for students to broaden their network.
Our next cohort is open to everyone based in Scotland, and we regularly announce new course dates.
|Location||Pre-course work||On Campus||Graduation|
*This cohort will be delivered through CodeClan’s Virtual Interactive Learning Experience and available to complete remotely
Funding & Costs
A deposit of £750 is payable to secure your place once you are accepted, with the remaining fees due before the course begins.
Split your payment into four manageable chunks, first with a deposit of £750, and then three subsequent payments.
Your laptop must be a MacBook Pro with least 8GB RAM and comfortably run the latest operating system. If your laptop is older than 2014 please check with Admissions to see if it is suitable to use. If you would like to hire a laptop from CodeClan, there is a rental fee of £300.