Our Programmes

Data Analytics

Discover the power of data

Our data analytics pathway will train you in the skills required to start in your first role as a data analyst, as well as introducing you to the foundations of data science. As a data analyst, you will:

Course modules

Find out more details about our course modules and key technologies, methodologies and skills that you will learn and master at the Digital Futures Academy across the 12-weeks of training.

Technical Skills

Our training will provide you with the technical foundations needed to start your first role as a data analyst, through a combination of theoretical teaching, hands-on experience
and practical projects. 

Throughout your placement, you will start to become a master in the core data analytics technologies, languages and frameworks as you progress in your data career.

Professional Skills

All of our programmes are underpinned by comprehensive professional skills training which will be supported by continued further development whilst you are on your
industry placement.

Alongside your technical development, you will develop your consulting skills, learn delivery methodologies like Agile and enhance your communication and presentation skills.

Certifications

All the training at Digital Futures is underpinned by industry-aligned certifications, ensuring you are set up for success. On our data analytics pathway, you will need to complete the PCED certification.

Successfully passing this certification will ensure that you have the skills and competency needed to secure your placement and become a professional data analyst.

Master the latest technologies

You’ll be learning and working with the best and most current technologies,
frameworks and programming languages

Meet your instructors

Throughout the Academy, you will be taught by instructors who are experts in their fields, who are now passing on their knowledge and expertise to the next generation of data analysts. 

Lisa Carpenter
Lisa Carpenter
Lead Data Science Instructor

Lisa is the Lead Data Science Instructor at Digital Futures, with responsibility for the design of our data programmes and delivery of a world-class learning experience for our engineers. Lisa has over 10 years experience in the data industry.

Alex Caian
Alex Caian
Data Science Instructor

Alex is the Data Science Instructor for the Digital Futures Academy, whose role consists of creating and delivering our Data Analytics pathway. His main interests include machine learning, natural language processing and ethics in AI.

Unlock your future career

Our programme will give you the capability to take the first steps into your career in data and technology as well as the confidence to grow and progress.

Following our 12-week Academy, our engineers have gone into a variety of roles and continue to progress across the 2 years and beyond, working in domain areas such as ESG, Risk and Compliance, Applied and Generative AI, Climate Analytics and Wholesale IT.

The roles you could go into include:

Data Analyst | AI Engineer | Innovation Analyst |
Machine Learning Engineer | Data Scientist

Our success stories

Read our engineers’ stories below and find out more about their journey with Digital Futures.

Jinsha George

Data Analyst

“Digital Futures invested time in me and supported me. I came in with insecurities about my skills and struggled with imposter syndrome. The Academy helped me fill my technical skills gap, instilled confidence in me and taught me what I really needed to know. I was looking for someone to be in my corner, and the team at Digital Futures always was.”

Matthew Hewitt

Data Analyst

“The teaching we received in Python was amazing – on our client placement, we are seen as the Python experts in our team, which is a testament to the training we received in the Academy. I am applying the skills I learned directly. I feel like in terms of practical knowledge, I learned more in 3 months at Digital Futures than I did in my entire time at university.”

Iqra Finiin

Data Analyst

“My lack of experience was a massive barrier. In hindsight, I really needed to do the Digital Futures Academy. I needed the training, from technical to professional skills. If I’d gone straight into a corporate job I would have found it so difficult.
Being part of Digital Futures is amazing - there is so much support at every stage of the process.”

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FAQs

Answers to frequently asked questions about the Digital Futures Academy programmes

Technical Skills

Our technical training is constantly evolving with the requirements of industry meaning that you will be able to effectively implement the skills you learn in the Academy when you transition to client site.

Course Modules
Tools, Technologies & Frameworks
Description & Content

Coding fundamentals

Python, SQL

Build up your fundamental coding skills in Python & SQL.

Exploratory data analysis

Python, PostgreSQL, Tableau, Pandas

Understand the patterns within data, changes over time and uncovering insights.

Data storytelling and visualisation

Tableau, Seaborn, Matplotlib

Represent data through visualisations to communicate complex data relationships and provide actionable insights and support data-driven decision-making.

Ethics in data and AI

Ethics frameworks, Google AI

Learn the importance of ethical data practices around data responsibility, transparency and ethical AI use.

Applied mathematics and statistics

Statsmodels, Regression Models, Descriptive Statistics

Applying mathematics, statistics and data mining techniques across numerical, text and time series data to gain actionable insights that generate value.

Data model measurement and testing

Excel, Sci-Kit Learn, Vertex AI

Handling all parts of the modelling lifecycle, including building, approving, back-testing, calibrating & deploying models across a range of on-prem and cloud-based environments.

Cloud and Generative AI

Google Cloud, Vertex AI, Gemini

Introduction to the fundamental concepts of large language models, prompt engineering and cloud computing network and storage.

Machine learning

Tensorflow, Sci-Kit Learn, Pandas

Employ supervised and unsupervised learning techniques to develop robust machine learning models in a streamlined reproducible environment.

Natural language processing

NLTK, Gensim, TF-IDF, Sentiment Analysis, Word Clouds

Work comfortably with unstructured data and perform text analytics to solve business challenges.

Professional Skills

We place equal emphasis on professional skills training and professional development to ensure our engineers are workplace ready and can integrate into high-performing teams.

Our comprehensive professional skills training runs in parallel with our technical skills training. Our professional skills training has been designed to equip our engineers with the relevant consulting, communication and teamworking skills required to complement their technical skills and deliver in high-performing tech teams.

Teamwork: Learn the importance of active listening, effective feedback and communication and how to effectively implement these skills in a workplace scenario.

Business Acumen: Develop your business acumen through learning about the fundamentals of business concepts, understanding KPIs and the importance of customer and stakeholder centricity.

Consulting Skills: Learn the critical consulting skills required for success in your first role, including time management, prioritisation, goal setting, and stakeholder management.

Presentations: You will learn to put together effective presentations, to clearly communicate your findings and to confidently deliver your ideas.

Agile Methodology: Learn the key values, principles, and practices of Agile methodology that will allow you to initiate an Agile conversation with co-workers and enable you to work in an Agile way.

Being a Brand Ambassador: Learn how to develop and enhance your personal brand as well as what is expected of you when you are deployed on client site. 

Interview Technique: You will receive comprehensive coaching on interview technique, through weekly interview-specific training sessions, peer interview practise and mock interviews with members of the team.

Certifications

All of our pathways are industry accredited, validating your proficiency in the technologies, methodologies and skills in your chosen pathway before you start your first role. 

On our Data Analytics pathway, you will be required to successfully pass one certification to graduate from the Digital Futures Academy.   

PCED: Certified Entry-Level Data Analyst with Python
The PCED demonstrates an individual’s abilities to efficiently gather, clean, and validate data using Python. It emphasises practical, hands-on skills in Python for data acquisition, data cleaning, and standardisation techniques as well as foundational programming and database management skills.

You will also be given the choice to take additional, optional certifications following your 12-weeks of training. These include:

Google Cloud Digital Leader
The Google Cloud Digital Leader demonstrates an individual’s capability in core Google Cloud products and services and how these can benefit organisations. This certification covers digital transformation, innovating with AI, data transformation, security, modernising infrastructure and scaling, all in Google Cloud Platform (GCP).

PCAP: Certified Associate in Python Programming
The PCAP is a professional credential that measures an individual’s ability to perform intermediate-level coding tasks in the Python language, including the ability to design, develop, debug, execute, and refactor multi-module Python programs, as well as measures their skills and knowledge related to analysing and modelling real-life problems with the use of the fundamental notions and techniques available in the object-oriented approach.

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