Microsoft Excel Data Analysis Course

Overview

Excel is not just spreadsheets!
It is a professional tool for data analysis, project management, and smart organization of daily tasks.

The Professional Data Analysis Course using Microsoft Excel from Pearls Institute for Training and Development provides you with both fundamental and advanced skills to become an expert in using Excel in the modern workplace.

Course Curriculum

  • Concept and importance of data analysis
  • Data lifecycle (collection, cleaning, analysis, presenting results)
  • Importing data from different sources (CSV, databases, etc.)

  • Formatting and cleaning data (removing duplicates, handling missing values)

  • Statistical functions (AVERAGE, MEDIAN, STDEV…)

  • Lookup functions (VLOOKUP, XLOOKUP, INDEX & MATCH)

  • Conditional functions (IF, SUMIF, COUNTIF…)

  • PivotTables and PivotCharts

  • Power Query for data cleaning

  • What-If Analysis and forecasting tools

  • Creating clear and effective visual dashboards and charts

Outcomes

Enable participants to understand the fundamentals of data analysis using Excel tools
Equip learners with the ability to clean and process data professionally
Learn how to use formulas and statistical functions to summarize data
Develop skills for creating interactive reports and dashboards
Strengthen the ability to make data-driven decisions

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FAQS

This course teaches participants how to use Microsoft Excel to analyze, visualize, and interpret data through formulas, functions, charts, pivot tables, and essential analytical tools.
The course is ideal for beginners, professionals, analysts, and administrative staff who want to improve their data-handling and reporting skills using Excel.
You will learn data cleaning, advanced formulas, pivot tables, conditional formatting, charts, dashboards, and techniques for turning raw data into meaningful insights.
Excel data analysis skills are essential in finance, HR, operations, marketing, and management roles. This course helps you work more efficiently and make data-driven decisions in any industry.

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Course Fee: 1,350 

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