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Part Time Data Science bootcamp

The need for data scientists is growing in. We train our students to be data literate – to clean, analyse, and communicate data - and the business skills most desired by employers.

Next Start Date

16th March 2021

Price

£5,500

Where

Online

Length

24 Weeks Part-Time

When

Tuesdays & Wednesdays 6pm-9pm

Finance

From as little as £116.59 per month

Click above to see our finance options.

Community

Access to our Slack channel

Get Hired

CV reviews, informal and formal interviews

RETRAIN AROUND YOUR JOB​

Transition from a beginner – with no prior coding experience – to a job-ready Data Scientist in 24 weeks on our part-time, online data analysis.

You will learn through 24 weeks of labs, real life exercises and projects. You will also get access to a range of career support services and networking opportunities.

Our aim is to prepare you for the real world – what industry needs now and spend a lot of time asking companies what specific skills they look for and then design our curriculum to include learning activities that help you master each key skill.

In this course, we will cover:

We ask potential students to complete some prework to ensure they understand the fundamentals of mathematics and data science, used and covered on the course.

This should take no more than 20 hours to complete and provides you with the right starting point to maximise your learning on the course.

Phase 2 focusses on Python, the coding language used throughout our course, covering Strings, Loops, Functions, Numeric data Lists, libraries such as Numpy and Matplotlib, Pandas and much more.

Phase 2 also covers business skills – these are the important ‘soft skills’ employers tell us they struggle most to find in junior data analysts,

In Phase 3 students cover advanced subjects such as SQL, Machine Learning, Working with Big Data, Cloud Technologies (eg. Google, Dataproc, BigQuery), Neural Networks (Google, AWS and Azure). Natural Language Processing, Text Vectorization.

There’s also a Machine Learning project to cement your knowledge and put what you’ve learned into practice.

Phase is dedicated to a Final Project where students work in teams to get hands on with a real, green-field team project. There’s no better way to consolidate and extend your knowledge and prove what you can do.

Online learning done right

Our live, instructor led online course has been designed with students in mind.  Course instructors and your peers are just a Slack message away whenever you need extra help, so your learning doesn’t stop.

You will have lifetime access to our Learning Management System, recordings of all live lessons,
course materials, resources and be able to collaborate with one another.

Instructors

An experienced industry expert will lead the curriculum and live online lessons via our learning environment.

Coordinators

Our Coordinators ensure your experience is a positive one. Got questions? Need finance advice? They’ll guide you.

Career Coaches

You’ll have access to expert career coaches, whom you’ll work with until you start your first job.

Weekly learning schedule

Tuesday
Virtual Standup

We start each session with a virtual stand up to talk through last weeks projects. This is a great time to get to know your fellow students and helps you gain confidence in talking about your code in a similar way to that of a real working environment.

Code along and Lecture

The course instructor will talk you through a particular concept, framework or process with slides and visual aids.

Then it's over to you to code along with the instructor, ask questions and work through the problem.

Project & Mini Lecture

The last part of this session usually includes more code alongs and a mini lecture to make sure you understand what's been covered and have some projects to help you cement the knowledge.

Wednesday
Virtual Standup

We start each session with a virtual stand up to talk through last weeks projects. This is a great time to get to know your fellow students and helps you gain confidence in talking about your code in a similar way to that of a real working environment.

Code along and Lecture

The course instructor will talk you through a particular concept, framework or process with slides and visual aids.

Then it's over to you to code along with the instructor, ask questions and work through the problem.

Project & Mini Lecture

The last part of this session usually includes more code alongs and a mini lecture to make sure you understand what's been covered and have some projects to help you cement the knowledge.

Project & Task

During the final part of this session, the instructor will provide you with a project or task to complete before next weeks session, this usually takes about 14 hours to complete.

entry requirements

This Data Science online course is intended for complete beginners, however, an understanding of mathematics at GCSE level is required.

We therefore provide some pre-work projects be completed as part of your application.

meet our instructors

George Mulroy

George Mulroy

Head of Data at Twinkl Educational Publishing

Emma Sewell

Emma Sewell

Data Engineer at Igloo Energy

The Developer Academy Students

Lauren Newbould

Data Scientist at The Olympic Channel

The Developer Academy Students

Paul Brabban

Technical Consultant at Equal Experts

Get help covering your tuition fees

You can spread the cost of our courses with Coursebud or Knoma.

Please apply before making an application for finance for any of our courses. 

coursebud

Coursebud can help you find a suitable loan to spread the cost of our coding bootcamps.

Pre-approval – You can get a quote at any time, whether you have applied for a course or not.

When to apply – Only apply after you have been offered a place on a course.

Process – After applying, it usually takes between 45 minutes and 48 hours to release funds if your application is accepted.

knoma

Pay your course fees with an interest-free loan, repaid over 12 months.

When to apply – Only apply after you have been offered a place on a course.

Process – After applying, it usually takes a few minutes to get a decision.

Lendwise

Lendwise is a dedicated provider of education finance for UK residents

Approval – You can get a quote at any time, whether you have applied to The Developer Academy or not.

When to apply – Only apply after you have been offered a place on a Developer Academy course.

Process – Apply online.

Flexible – Spread your payments over more than 12 months with no penalties or charges for early repayment.

where our graduates work

Ready to Code with Us?

FAQs

A data science bootcamp is a short course that teaches everything you need to enter the market successfully. At course completion, you will leave with a portfolio of projects to show at interviews, in addition to knowledge and skills. We also provide access to career support services and networking opportunities to help you hit the ground running.

We believe that with the right motivation and determination, almost anyone can become a successful data scientist. However, understanding mathematics at a basic level and a passion for data and visualising information are valuable assets to hold.

Starting salaries for Junior Data Scientists range between £20,000 and £25,000. As you move up the ranks or into a consultancy role, you could earn £72,000 or more.

Holding an understanding of maths at a GCSE level is advantageous. This is because the language you will be working with in your daily tasks will revolve around numbers. We can discuss this during the application process; alternatively, email us for more information.

No! Knowledge of coding is not required to gain a position on our data science bootcamp. We are more interested in passion rather than pre-existing coding skills. If you have that, you’re ready for our course.

Data Scientists look for points of interest or patterns in a set of data to answer specific questions. For example, you would search through data to piece together why the company you work for has suddenly increased or decreased in sales. You would then present this data to colleagues to help drive key decisions. There is more information available here

Yes, companies in nearly every industry can benefit from data analysis, from healthcare providers to retail stores to fast-food chains. The insights that data analysts bring to an organisation is valuable to employers who want to know more about their consumers or end-users needs.
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