Data analytics is an essential skill for students, professionals and organisations that want to make informed decisions using data. This practical class will help you develop the skills required to clean, analyse, visualise and interpret data using widely used analytical tools.
Depending on your learning objectives, lessons may cover Microsoft Excel, Power Query, Power BI, SQL or Python. You can learn how to clean and transform datasets, write formulas and queries, develop data models, calculate meaningful performance indicators and design interactive dashboards.
Each lesson is customised according to your current level and goals. I use clear explanations, guided exercises, realistic datasets and practical projects to help you understand both the technical steps and the business meaning behind the results.
This class is suitable for beginners, university students, job seekers and working professionals. By the end of the programme, you should be able to analyse data more confidently, create professional reports and apply your skills to academic or workplace projects.
Depending on your learning objectives, lessons may cover Microsoft Excel, Power Query, Power BI, SQL or Python. You can learn how to clean and transform datasets, write formulas and queries, develop data models, calculate meaningful performance indicators and design interactive dashboards.
Each lesson is customised according to your current level and goals. I use clear explanations, guided exercises, realistic datasets and practical projects to help you understand both the technical steps and the business meaning behind the results.
This class is suitable for beginners, university students, job seekers and working professionals. By the end of the programme, you should be able to analyse data more confidently, create professional reports and apply your skills to academic or workplace projects.