Curriculum
- 12 Sections
- 73 Lessons
- 24 Weeks
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- Course Curriculum
The Data & Business Analyst Programme curriculum is designed to develop practical skills in Data Analytics, Business Analytics, SQL, Python, Excel, Power BI, Tableau, Data Visualization, Artificial Intelligence, and business reporting through live online learning and real-world projects.
0 - Module 1 – Introduction to Data Analytics & Business AnalyticsBuild a strong foundation in Data Analytics and Business Analytics by understanding how organisations collect, analyse, and use data for strategic decision-making. This module introduces learners to a professional Data Analyst Course and Data Analytics Course, while exploring business intelligence concepts, career opportunities, and the growing demand for analysts across the UK.5
- Module 2 – Advanced Microsoft ExcelMaster advanced Microsoft Excel techniques used by professional data analysts. Learn formulas, PivotTables, Power Query, dashboards, charts, lookup functions, data cleaning, and automation. Excel remains one of the most valuable tools for Business Analytics, Data Analytics Certification, and modern reporting environments.8
- Module 3 – SQL & Database ManagementDevelop practical SQL skills to retrieve, analyse, and manage business data efficiently. Learn SQL queries, joins, subqueries, views, indexing, and database design. This module provides essential expertise for a professional SQL Course, Data Analyst Course, and Data Science Course, preparing learners to work with enterprise databases.8
- Module 4 – Python for Data AnalyticsLearn Python programming for data analysis using industry-standard libraries such as Pandas, NumPy, and Matplotlib. Develop practical skills in data cleaning, transformation, exploratory data analysis, and automation. This module strengthens the technical foundation required for Data Analytics Course, Data Science, and Artificial Intelligence applications.8
- Module 5 – Statistics & Business AnalysisUnderstand the statistical methods used to analyse business data and support evidence-based decision-making. Topics include descriptive statistics, probability, hypothesis testing, regression analysis, forecasting, and business performance metrics. This module prepares learners for professional Data Analytics Certification and advanced business analysis roles.7
- Module 6 – Data VisualizationTransform raw data into meaningful visual insights using Power BI, Excel dashboards, Tableau concepts, and data storytelling techniques. Learn to create interactive reports, KPI dashboards, and executive visualisations that help organisations make informed decisions. This module complements a professional Power BI Course and Data Analytics Course.8
- Module 7 – Business IntelligenceExplore Business Intelligence concepts, data warehousing, ETL processes, reporting, KPI development, and decision-support systems. Learn how organisations convert data into actionable insights using BI tools and analytics platforms. This module develops practical skills required for modern Business Analyst and Data Analyst roles.8
- Module 8 – Artificial Intelligence for BusinessDiscover how Artificial Intelligence is transforming modern businesses through automation, predictive analytics, intelligent decision-making, and machine learning. Learn practical AI applications across finance, marketing, retail, and operations while building knowledge that complements an Artificial Intelligence Course, Machine Learning Course, and AI Certification pathway.5
- Module 9 – Industry ProjectsApply your knowledge through practical business analytics and data analytics projects using SQL, Python, Excel, and Power BI. Build dashboards, business reports, predictive models, and analytical solutions based on real-world business scenarios. These portfolio-ready projects prepare learners for Data Analyst Jobs, Data Science Jobs UK, and business intelligence careers.8
- Module 10 – Career Development & Placement SupportPrepare for successful careers in Data Analytics, Business Analytics, and Data Science with CV writing, LinkedIn optimisation, interview preparation, portfolio development, mock interviews, and career coaching. This module supports learners seeking Data Analyst Course outcomes, Data Science Jobs UK, and opportunities across the UK's growing analytics sector.8
- Capstone ProjectComplete a comprehensive capstone project by analysing real business datasets, building interactive Power BI dashboards, performing SQL analysis, applying Python for analytics, and presenting actionable business insights. This final project demonstrates practical expertise in Data Analytics, Business Analytics, Artificial Intelligence, and data-driven decision-making while strengthening your professional portfolio for employers.0

