Move beyond Junior Reporting. Develop mid-level skills to clean imperfect data, create logic-driven calculations, and use advanced tools like Quick Table Calculations. Build professional visuals including maps and density plots used in the workplace
Move beyond clean sample data and learn data cleansing and data modelling techniques to handle messy, real-world datasets—the essential skill that separates beginners from professional analysts.
Understand how data cleansing corrects errors, removes duplicates, standardises formats, and fixes inconsistencies—ensuring your analysis is accurate, reliable, and trusted by stakeholders.
Learn structured file storage and version control practices to track changes, prevent confusion, and deliver results efficiently when stakeholders and clients are waiting.
Use data splitting to quickly break messy fields into clean columns, speeding up data preparation, improving consistency, and getting to analysis faster when deadlines matter.
Use PROPER() to standardise messy text into clean, professional formatting—improving readability, reducing confusion, and ensuring your outputs look polished for stakeholders and clients.
Understand the differences between pivoted and tabular data structures, their advantages and disadvantages, and how switching between them improves flexibility, analysis depth, and professional data modelling skills.
Learn how to use the IF function to build conditional logic—an essential skill not just in Tableau, but across every programming language you’ll use as a professional analyst.
Discover how quick table calculations unlock powerful insights like running totals, percent differences, and growth rates—transforming simple charts into dynamic, analysis-ready visualisations.
Move beyond Junior Reporting. Develop mid-level skills to clean imperfect data, create logic-driven calculations, and use advanced tools like Quick Table Calculations. Build professional visuals including maps and density plots used in the workplace
