videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and More ❯
take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯
to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯
and understand risk; determine control objectives; and evaluate whether controls sufficiently address identified risks through various testing techniques Obtain, extract and analyse large data sets using tools like SQL, Python or Alteryx to identify patterns, anomalies and potential risks. Create data visualisations using Power BI/Tableau to communicate findings as a basis for drafting informed and objective opinions on … data tools Develop and maintain current knowledge of audit industry practices, regulatory environment and industry developments Training Data Analyst Level 4. What you’ll gain: Technical depth: SQL/Python/Alteryx for data prep, analytics, automation; Power BI/Tableau for storytelling; data quality and controls Risk and audit mindset: How banks manage risk, controls testing, regulatory expectations, and … Internal Audit Analyst → Auditor → Audit Manager (with a data specialisation) Risk/Compliance Analyst → Financial Crime/Operational Risk Data roles Data Engineering/Automation (if you lean into Python/ETL tooling) BI/Reporting Developer or Product Analytics (if you enjoy visualisation and metrics) Credentials and progression support Level 4 apprenticeship plus portfolio of real audit analytics projects More ❯
