Data Preparation with Excel

Clean, organize, and prepare your data for real analysis. Before you can analyze data, you need to make sure it is accurate, consistent, and ready to use. This is where data preparation comes in—a crucial step that often takes more time than the actual analysis. In this course, you will learn how to use Excel to transform messy, raw data into clean, structured datasets that are ready for decision-making and deeper analysis. The course begins with importing and organizing data from different sources. You will learn how to handle common issues such as duplicates, missing values, and inconsistent formatting. From there, we’ll explore Excel’s powerful tools for cleaning and transforming data, including Text-to-Columns, Find & Replace, Data Validation, and Flash Fill. You will also practice sorting, filtering, and applying conditional formatting to highlight trends and spot errors. By the end of the course, you will be able to: Import and structure data efficiently in Excel. Detect and correct errors, duplicates, and inconsistencies. Apply cleaning tools and functions to prepare reliable datasets. Use filtering and validation techniques to ensure data accuracy. Build a habit of preparing data systematically before analysis. Every lesson is hands-on, with exercises that simulate the real challenges analysts face when dealing with raw datasets. Instead of simply watching, you’ll clean data yourself, step by step, and experience how small adjustments create trustworthy results. Data Preparation with Excel is perfect for anyone looking to move beyond the basics and develop a professional workflow for working with data. Once you master these skills, you’ll be ready to tackle data analysis, visualization, and even more advanced tools like Python and SQL with confidence.