Excel Data Cleaning and Analysis: Duplicates, Missing Values, and Filtering

By Progya Categories: Excel
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About Course

Master the most critical and job-ready skill in data analysis — data cleaning and data preparation using Microsoft Excel.

In this course, you will learn how to transform messy, unstructured datasets into clean, accurate, and analysis-ready data. You will work with real-world problems such as duplicate records, missing values, outliers, and inconsistent data, which are the most common challenges faced by data analysts in practical scenarios.

Unlike theoretical courses, this course focuses entirely on hands-on Excel techniques such as sorting, filtering, conditional formatting, and data separation. You will also learn how to highlight insights visually using color scales and identify top and bottom patterns within datasets.

By the end of this course, you will be able to confidently clean, organize, and analyze datasets in Excel, making you job-ready for roles such as data analyst, business analyst, reporting analyst, and banking data operations.

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What Will You Learn?

  • Identify and remove duplicate records accurately, ensuring your data is reliable and free from repetition errors
  • Handle missing values in a smart and practical way, so your analysis does not produce misleading results
  • Detect and treat outliers effectively, helping you avoid incorrect conclusions in your analysis
  • Identify inconsistent data and correct it systematically, improving overall data quality and integrity
  • Separate combined or messy text data into structured columns using text-to-columns, which is a highly practical real-world skill
  • Use sorting and filtering techniques to quickly narrow down large datasets and focus only on relevant information
  • Apply advanced filtering with custom criteria to answer specific business questions from your data
  • Highlight important data points using conditional formatting, making insights visually clear and easy to interpret
  • Identify top and bottom performing values in datasets, which is essential for reporting and decision-making
  • Use color scales and data bars to visually analyze trends and patterns without complex tools
  • Build confidence to work with Excel in real-life data analysis tasks, even if you start as a complete beginner
  • Perform the exact data cleaning steps that professionals use before doing any serious analysis

Course Content

Data Cleaning and Preparation

  • Datasets for excel practices
  • Identifying and removing duplicates
    04:52
  • Dealing with missing values
    14:56
  • Dealing with outliers
    09:50
  • Finding and imputing inconsistent values
    07:13
  • Text-to-columns for data separation
    03:29

Conditional Formatting and Insights

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