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| Introduction | |||
| Business and Data Analysis with SQL | 00:06:00 | ||
| Database and Datawarehouse Design | |||
| Introduction to Databases- A History | 00:04:00 | ||
| SQL Statement Categories | 00:02:00 | ||
| Capture data requirements | 00:09:00 | ||
| Physical Vs Logical Data Representations | 00:03:00 | ||
| Normalise data | 00:07:00 | ||
| Fact Tables | 00:04:00 | ||
| Aggregate data | 00:07:00 | ||
| Entity Relationship Diagrams (ERD’s) | 00:08:00 | ||
| Extract, Transform and Load (ETL) | 00:13:00 | ||
| Structured Query Language (SQL) - Fundamentals | |||
| MySQL Server Setup | 00:05:00 | ||
| MySQL Server Start and stop Service | 00:02:00 | ||
| Connect to database | 00:07:00 | ||
| Comments in SQL | 00:05:00 | ||
| Select data from a table | 00:16:00 | ||
| Table Indexes | 00:08:00 | ||
| Table and Column Aliases | 00:06:00 | ||
| Inner Join Tables | 00:02:00 | ||
| Left and Right Outer Table Joins | 00:04:00 | ||
| Union (all) Results | 00:04:00 | ||
| Project Management | |||
| Project Management (Agile Methodology) | 00:11:00 | ||
| Kanban boards | 00:09:00 | ||
| Prioritise Requirements using MoSCoW | 00:04:00 | ||
| Sales Project | |||
| Sales Project – Introduction | 00:05:00 | ||
| Create and Drop Database | 00:05:00 | ||
| Query Workflow | 00:09:00 | ||
| Sales Project – Part 1 – Data Capture | 00:15:00 | ||
| Sales Project – Part 2 – Data Analysis | 00:08:00 | ||
| Sales Project – Part 3 – Data Summary | 00:12:00 | ||
| Sales Project – Part 4 – Send to production | 00:09:00 | ||
| MySQL Query Explain Plan | 00:07:00 | ||
| Common Table Expressions (WITH) | 00:14:00 | ||
| Data Control Language (DCL) | |||
| User Administration | 00:13:00 | ||
| MySQL Programs | |||
| MySQL Set Windows Environment Variable | 00:05:00 | ||
| MySQL Command Line | 00:17:00 | ||
| Visualising Data | |||
| Export results to Excel | 00:06:00 | ||
| Setup MySQL ODBC (Open Database Connector) | 00:11:00 | ||
| Creating a report in Microsoft Excel | 00:21:00 | ||
| Assignment | |||
| Assignment – Business and Data Analysis with SQL | 2 weeks, 1 day | ||
| Order Your Certificate | |||
| Order your Certificate QLS | 00:00:00 | ||
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Business and Data Analysis With SQL focuses on using data and database techniques to understand business performance and support better decisions. The course combines analytical methods with SQL skills to help learners work confidently with business information.
This course is suitable for individuals interested in data, technology, and business improvement. It can benefit beginners, professionals, managers, and anyone looking to develop practical skills for working with databases and business reports.
No, coding experience is not necessary. The course introduces SQL concepts from the basics and helps learners understand how to write queries, retrieve information, and work with structured data.
The course covers database fundamentals, SQL queries, data analysis methods, reporting techniques, business intelligence concepts, and strategies for converting data into useful business information.
SQL allows professionals to access and manage large amounts of stored information efficiently. It helps analysts examine data, create reports, discover trends, and provide insights that support organisational decisions.
Learners can develop analytical thinking, database knowledge, reporting abilities, problem-solving skills, and confidence in interpreting information. These skills are useful for understanding business challenges and identifying improvement opportunities.
Yes, this course builds foundational knowledge required for many data-focused roles. It helps learners understand how data professionals collect, analyse, and present information in modern workplaces.
Data analysis helps organisations identify customer needs, improve processes, measure performance, and make strategic decisions. Businesses use insights from data to reduce risks and discover new opportunities.
Yes, the course is suitable for beginners with basic computer knowledge. It provides a structured introduction to SQL and business analysis concepts without requiring advanced technical experience.
Data analysis focuses on examining information to find patterns and insights, while business analysis focuses on improving processes and solving organisational challenges. Both areas work together to support effective decisions.
SQL is commonly used to manage databases, generate reports, track business performance, and retrieve important information. Many organisations rely on SQL skills for daily operations and strategic planning.
After completing this course, learners may pursue roles such as Data Analyst, Business Analyst, Reporting Analyst, SQL Developer, or Business Intelligence Analyst across various industries.