Data Wrangling with Power Query

Navigating Analysis with Orderly Data

Data often arrives in a chaotic, unstructured state, making analysis challenging and time-consuming. This course introduces participants to the foundational skills needed to clean, transform, and organize raw data into actionable insights. Through a hands-on, one-day exploration, participants will master techniques to bring order to disorder, ensuring data readiness for in-depth analysis and visualization.

Unveiling the Art of Data Transformation: From Disorder to Insight

Data wrangling is a critical step in the data analysis process, akin to solving a complex puzzle where every piece must align perfectly. This course demystifies the intricacies of data cleaning and transformation, teaching participants to address discrepancies, handle missing data, and reshape datasets effectively. By the end of the session, learners will be equipped with essential tools to turn complex datasets into clear, actionable insights, enhancing their ability to draw meaningful conclusions from their data.

Earn A Professional Certificate in Data Analytics in 4 Days!

In today’s data-driven world, the ability to extract, transform, and analyse data is a valuable skill across all functions and industries. The Professional Certificate in Excel-Based Data Analytics is designed to equip professionals with practical, job-ready skills in data handling, transformation, modelling, and reporting — all within the familiar Microsoft Excel environment.

This intensive 4-day programme is structured into three progressive modules:

1. A Beginner's Guide to Data Management & Data Reporting
2. Data Wrangling with Power Query
3. Mastering Microsoft Power Query and Power Pivot

Complete these 4 courses and earn your Professional Certificate!

Upon completion of the course, learners will be able to:

• Clean and transform raw data into structured, usable formats for analysis.
• Apply common data wrangling techniques, including filtering, merging, and reshaping datasets.
• Handle missing data effectively and manage outliers to maintain data integrity.
• Work efficiently with large datasets, optimizing performance through parallel processing.
• Identify and address data quality issues, ensuring reliability and accuracy in analysis.

• Data Analysts responsible for transforming data into actionable insights.
• Business Analysts who need to clean and prepare data for business intelligence purposes.
• Data Engineers tasked with Extract, Transform, and Load (ETL) operations for data warehouses or lakes.
• Researchers working with data in fields like social sciences, economics, and health.
• Professionals with a keen interest in enhancing their data wrangling skills—no prior experience required.

"Trainer is very engaging and approachable to real life questions which is great."

"The power query editor. After this course, the tool is useful and relevance on my work."

"He is very experienced in the excel toolkit and is able to answer all the enquiries that we have."

"Trainer is very engaging, helpful and willing to explain with patience."

Paul – Data Wrangling and Analytics Expert

Paul is a seasoned data wrangling and analytics expert with over 15 years of experience training corporate professionals and organizations across diverse industries. His expertise lies in transforming complex, unstructured data into actionable insights using advanced tools and techniques, including Power Query, Power BI, Tableau, Python, and Excel. Paul has worked extensively with large-scale datasets, developing efficient workflows for data cleaning, transformation, and visualization to drive decision-making and business intelligence.

Paul’s contributions extend beyond training; he has consulted on numerous high-impact projects, designing scalable data workflows and improving operational efficiency for leading multinational companies. His deep understanding of data wrangling techniques, combined with his ability to break down complex concepts into practical, step-by-step methodologies, makes him a trusted advisor and mentor in the field.

In addition to his hands-on expertise, Paul holds a Bachelor of Business degree with distinction and dual Master’s degrees in Applied Finance and Accounting. He has also developed and implemented advanced data analytics curricula adopted by prestigious learning institutions. With his unique ability to bridge technical expertise and real-world applications, Paul empowers learners to master data wrangling and unlock the full potential of their data for actionable insights and business success.