Professional Development Programmes

Choose the learning path that fits your current role and career objectives

All courses include lifetime access to updated content, practical exercises with real datasets, and completion certificates. Most learners begin their first module within 24 hours of enrolment.

SQL Foundations for Business Users

Perfect for professionals who need database skills but have no programming background

£427.50 one-time payment

This course teaches you to extract, filter and summarise data from relational databases using SQL. You will learn through business scenarios common in finance, marketing and operations departments.

What you will learn

  • SELECT statements and filtering with WHERE clauses
  • Aggregate functions for summarising data
  • JOIN operations to combine multiple tables
  • Subqueries and basic query optimization
  • GROUP BY logic for category-level analysis
Duration: 42 hours of instruction Format: Self-paced with suggested schedule Prerequisites: None required
Most Popular Choice

Data Analytics Professional Track

Comprehensive programme for career transition into analytical roles

£1,185.00 one-time payment

Our most complete offering combines SQL, Python, statistical foundations and visualisation skills. Designed for professionals seeking formal analytics positions or those consolidating fragmented knowledge into structured capability.

Curriculum modules

  • SQL for data extraction and transformation
  • Python fundamentals with pandas and NumPy
  • Descriptive and inferential statistics basics
  • Data visualisation principles and tools
  • Dashboard creation with Power BI or Tableau
  • Portfolio development and presentation skills

Included benefits

  • Four substantial portfolio projects
  • Monthly mentor review sessions
  • Interview preparation workshop
  • Resume review by analytics hiring manager
  • Access to alumni community
Duration: 156 hours across six modules Format: Self-paced with milestone deadlines Prerequisites: Basic Excel skills recommended

Advanced SQL and Database Optimization

Deep technical training for analysts working with large datasets

£673.25 one-time payment

Move beyond basic queries into window functions, common table expressions, query performance tuning and index strategy. This course addresses challenges faced when working with millions of records where execution time matters.

Advanced topics covered

  • Window functions for complex analytical calculations
  • Common table expressions and recursive queries
  • Query execution plans and optimization strategies
  • Index design and maintenance
  • Performance monitoring and troubleshooting
  • Advanced join patterns and set operations
Duration: 68 hours of advanced instruction Format: Self-paced with lab environment access Prerequisites: Solid SQL fundamentals required

Business Intelligence with Power BI

Create interactive dashboards and automated reporting systems

£549.80 one-time payment

Learn Microsoft Power BI from data connection through dashboard publication. Covers data modelling, DAX formula language, visualisation best practices and sharing strategies for business stakeholders.

Skills development areas

  • Connecting to various data sources including SQL databases
  • Data transformation with Power Query
  • Relationship modelling and schema design
  • DAX formulas for calculated columns and measures
  • Interactive visualisation creation
  • Dashboard design principles for clarity
Duration: 54 hours of platform training Format: Video instruction with practice files Prerequisites: Basic data concepts helpful

Python for Data Analysis

Master pandas, NumPy and visualisation libraries for analytical work

£598.60 one-time payment

Focused training on Python's data analysis ecosystem. You will learn to manipulate datasets, perform statistical analysis and create visualisations using industry-standard libraries. No prior programming experience required.

Core technical skills

  • Python fundamentals and Jupyter notebook environment
  • pandas DataFrames for data manipulation
  • NumPy arrays for numerical computation
  • Data cleaning and preparation techniques
  • Exploratory data analysis workflows
  • matplotlib and seaborn for visualisation
Duration: 61 hours of coding practice Format: Interactive notebooks with exercises Prerequisites: None, though SQL knowledge complements well

Corporate Analytics Workshop

Custom team training adapted to your organisation's specific needs

£892.40 per participant

Tailored programme for groups of 4-12 people from the same organisation. We adapt curriculum to your specific tools, data structures and business questions. Includes initial assessment, customised delivery and follow-up coaching.

Workshop structure

  • Pre-workshop assessment of team skill levels and needs
  • Customised curriculum using your organisation's data
  • Hands-on exercises with your actual business scenarios
  • On-site delivery or remote facilitation options
  • Three monthly follow-up coaching sessions
  • Team collaboration and knowledge-sharing exercises
Duration: 3-5 days initial delivery plus follow-ups Format: Live instruction with team activities Requirements: Minimum 4 participants from same organisation

Not sure which programme suits your situation?

Most learners starting from basic Excel skills choose the Professional Track. Those already comfortable with SQL often select specific advanced modules. Corporate workshops work well when 4+ people from the same team need aligned training.

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