Data Analysis Masterclass (Excel, Power BI & SQL)
Gain practical, job-ready data analytics skills with Microsoft Excel, SQL, and Microsoft Power BI through hands-on projects.
Gain practical, job-ready data analytics skills with Microsoft Excel, SQL, and Microsoft Power BI through hands-on projects.
The Data Analysis Masterclass is a comprehensive training program designed to take you from beginner to job-ready Data Analyst using Microsoft Excel, SQL, and Microsoft Power BI. Rather than learning each tool in isolation, you'll understand how they work together in a complete business analytics workflow used by organizations worldwide.
You will begin by mastering Microsoft Excel, where you'll learn how to prepare, clean, organize, consolidate, analyze, and visualize data while exploring essential statistical concepts used in data analysis. Next, you'll learn SQL to understand how relational databases work and how to retrieve, filter, join, summarize, and manage business data using real SQL queries.
Building on these foundations, you'll progress to Microsoft Power BI, where you'll connect to multiple data sources, transform data using Power Query, build efficient data models, write DAX calculations, and create interactive reports and executive dashboards that communicate insights effectively.
Throughout the program, you'll complete practical projects that mirror real business reporting scenarios. By the end of the course, you'll have developed the complete end-to-end data analysis skill set required to collect, prepare, analyze, model, visualize, and present data confidently for business, academic, and professional decision-making.
1. Course Overview
1.2. Microsoft Excel Interface & Navigation
1.3. Defining Data
1.4. What is a Dataset
1.5. Structured Data (Tabular Data)
1.6. Variables in a Dataset
1.7. Unstructured & Semi-Structured Data
1.8. Quantitative & Qualitative Data
1.9. Nominal & Ordinal Data
1.10. Discrete & Continuous Data
1. Introduction to SQL and Databases
2. Creating, Managing, and Extracting Data from Tables
3. Exploring Tables
4. Coding with Style
5. Datatypes and Column Operations
6. Functions
7. Filtering Part 1
8. Filtering Part 2 – Complex Expressions
9. Filtering Part 3- Special Comparison Operators
10. Ordering Results
11. Aggregate Functions with SQL
12. Summary Statistics with SQL
13. Multiple Group Summary Statistics
14. Introduction to Joins
15. Joins and Other Clauses
16. Less Common Joins
Build a complete data analysis workflow using Microsoft Excel, SQL and Microsoft Power BI.
Understand how organisations collect, clean, organise, store, analyse and visualise data to support informed decision-making.
Prepare, clean, transform and consolidate messy datasets using Microsoft Excel.
Perform statistical analysis, summarise data and generate meaningful business insights using Excel.
Write SQL queries to retrieve, filter, join, aggregate and analyse data stored in relational databases.
Design efficient databases and understand how data is stored and managed using MySQL.
Connect Power BI to Excel files, SQL databases and other data sources for business reporting.
Transform and prepare data using Power Query to create analysis-ready datasets.
Build professional star schema data models and create reusable Date Tables.
Write DAX calculations to create business metrics, KPIs and time intelligence reports.
Design interactive reports using slicers, drill-through pages, bookmarks, navigation buttons and dynamic visuals.
Build executive dashboards suitable for business reporting and organisational decision-making.
Complete multiple practical projects that simulate real-world business analytics scenarios.
Develop job-ready skills for careers in Data Analysis, Business Intelligence and Business Reporting.
A Windows computer capable of running Microsoft Excel, MySQL and Microsoft Power BI Desktop.
Microsoft Excel installed.
Microsoft Power BI Desktop installed.
MySQL Server and MySQL Workbench installed.
Basic computer skills, including creating folders, opening files and installing software.
No previous experience in data analytics is required. The course begins with the fundamentals and gradually progresses to professional-level business intelligence.
A willingness to complete practical exercises and build projects throughout the course.
Data Analysis, Business Intelligence, Microsoft Excel, SQL, MySQL, Python, Power Query, DAX, Dashboard Development, Data Visualisation, Data Cleaning, Data Modelling, Business Analytics, Data Storytelling, ETL, Reporting, Statistics, Artificial Intelligence, Curriculum Development, Technical Training
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18 Courses
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Data Analyst, Business Intelligence Instructor and Curriculum Developer specialising in practical, project-based data analytics training.
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