Learn how to turn raw information into meaningful insights and develop practical skills that can support better business, operational and strategic decisions.
JSTA’s Data Analysis programme gives participants hands-on experience in collecting, organising, analysing and presenting data while developing the analytical thinking and digital skills increasingly required across modern workplaces.
Your Data Learning Pathway
Duration: 3 Months | 6 Months | 1 Year Format: Initial Training | Individual Data Tasks | Group Analysis Projects | Hybrid Working Module Group Size: Up to 10 participants
Participants begin with essential training in data handling and analysis before progressing to independent assignments and collaborative projects. The Hybrid Working Module provides experience in sharing data securely, attending virtual meetings, managing tasks and presenting findings within a team environment.
What Participants May Do
Participants can gain experience with activities commonly undertaken in junior data and business intelligence roles, including:
Collecting, organising and validating datasets
Cleaning incomplete or inconsistent data
Working with spreadsheets and data-analysis tools
Identifying patterns, trends and relationships
Creating charts, graphs and visual reports
Producing dashboards and performance summaries
Checking data quality and accuracy
Presenting findings to colleagues or project teams
Handling information responsibly and securely
As participants develop, they may progress to more advanced activities involving statistical analysis, automated data processing, database queries, interactive dashboards, predictive modelling and introductory machine-learning techniques.
What Candidates Can Learn
The current JSTA programme introduces participants to fundamental and advanced areas of data analysis, from data cleaning and exploratory analysis through to statistical inference, predictive modelling and machine learning.
Data Preparation & Cleaning Learn how to organise raw datasets, identify missing or inaccurate information, correct inconsistencies and prepare data for analysis.
Excel, Python & Data Tools Develop experience using tools such as Excel, Python or R to organise, manipulate, analyse and visualise information, reflecting the technologies already highlighted in JSTA’s existing programme.
Data Visualisation & Reporting Learn how to transform analysis into understandable charts, dashboards and reports that communicate findings clearly to different audiences.
Statistics & Predictive Analysis Explore statistical methods, relationships within data and introductory predictive techniques that can help organisations identify trends and make informed decisions.
Data Ethics, Privacy & Security Understand responsible data handling, confidentiality, potential bias and the importance of protecting sensitive information—an important part of the existing JSTA course content.
Practical Data Projects
Participants may apply their skills through practical or simulated projects such as:
Business Performance Dashboard – Analyse organisational data and present key performance indicators
Customer & Marketing Analysis – Explore audience, campaign or engagement data to identify trends
Data Cleaning Project – Transform an unstructured dataset into accurate, usable information
Survey & Community Data Project – Analyse responses and communicate important findings
Reporting Project – Produce charts, summaries and recommendations for decision-makers
Predictive Analysis Project – Explore historical data to identify patterns and potential future outcomes
Where appropriate, projects may use anonymised or non-sensitive information relating to business, charity, community or JSTA activities, allowing participants to understand how data analysis supports real organisational decisions.
From Data to Career Skills
Alongside technical capabilities, participants can strengthen analytical thinking, problem-solving, accuracy, attention to detail, communication, teamwork and evidence-based decision-making.
The programme can support participants exploring pathways such as Junior Data Analyst, Business Intelligence Assistant, Reporting Analyst, Marketing Data Analyst, Data Support Assistant, Junior Business Analyst and other data-focused roles. The current page also identifies data science, business intelligence and marketing analytics as relevant career areas.
Please Note: Our core mentoring, workshops and work-experience programmes are 100% free for eligible young people aged 16–25. We also deliver paid commercial training to businesses and individuals; 100% of that profit is reinvested into our free youth programmes.
