Data Cleansing using Excel

Learning Outcomes

• Understand the concept of data cleansing and its importance in data analysis.
• Use Excel tools to identify and correct data errors.
• Remove duplicates and standardize data formats.
• Handle missing data and fill it in professionally.
• Use Power Query to automate data cleaning processes.
• Improve data quality to ensure accurate analysis and final reports.

Who should Enroll

• Data analysts, administrative staff, and accountants who work with large datasets in Excel.
• Professionals who want to improve data quality before analysis or report preparation.
• Anyone seeking to acquire professional skills in data cleansing using Excel and its advanced tools.

Instructor

Zaid Ahmed

A Senior Business Intelligence Specialist at Vodafone Intelligent Solutions (VOIS) with 5 years of experience in Business Intelligence, Data Analytics, and Performance Reporting. Experienced in delivering data-driven solutions across telecom and business environments, leveraging Power BI, SQL, Python, and advanced analytics to transform complex data into actionable insights across Egypt and gulf area. Skilled in building executive dashboards, optimizing KPI frameworks, and sharing industry-focused knowledge through hands-on training in BI and analytics.

1 Training Courses19 Learners

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