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The Secrets of Data Analysis Using Microsoft Excel

Last updated on April 2, 2024 11:52 am


What you’ll learn

  • Data Analysis
  • Microsoft Excel
  • Data Analysis reporting & Communication
  • Data Cleaning
  • Data Visualization
  • Data Sorting & Filtering
  • Business Analysis

Data analysis is essential for driving informed decision-making, gaining valuable insights, managing risks, evaluating performance, predicting outcomes, personalizing experiences, ensuring compliance, and fostering continuous improvement across various industries and sectors.

Proficiency in Microsoft Excel for data analysis brings several advantages, such as efficient data organization, powerful data manipulation capabilities, comprehensive statistical analysis tools, intuitive data visualization options, and increased productivity through automation, all of which are essential for making informed decisions and driving successful outcomes in various professional settings. Microsoft Excel is a powerful tool widely used for data analysis due to several key reasons:

  1. Accessibility:

  2. Data Organization:

  3. Data Manipulation:

  4. Data Visualization:

  5. Statistical Analysis:

  6. What-If Analysis:

  7. Integration with Other Tools:

  8. Historical Data Analysis:

  9. Educational and Training Tool:

Here is a list of the key points covered in that course:

  • Data Filter and Sorting

  • Conditional formating

  • Data Visualization

  • Pivot tables

  • What-if Analysis

  • Data Cleaning

  • VLookup

  • HLookup Functions

  • Goal Seek

  • Data table

  • Average and Median Functions

  • Count-if Function

  • Data Findings Communication

  • Data reporting

The Secrets of Data Analysis using Microsoft Excel Masterclass offers numerous benefits, including gaining valuable skills in interpreting and making sense of data, enhancing decision-making abilities through data-driven insights, and increasing career opportunities in fields requiring strong analytical capabilities.

Who this course is for:

  • Accountants
  • Accounting Students
  • Financial Professional
  • Finance Students
  • Finance Managers
  • Accounting Managers
  • Business Managers
  • Business Development Managers
  • Sales Managers
  • Sales Specialists

Course content

  • Course Introduction4 lectures • 10min
  • Course Introduction
  • Data Filter and Sorting3 lectures • 32min
  • Data Filter and Sorting
  • Conditional Formatting and Visualization4 lectures • 21min
  • Conditional Formatting and Visualization
  • Pivot tables & What-if Analysis3 lectures • 38min
  • Pivot tables & What-if Analysis
  • Data Cleaning4 lectures • 30min
  • Data Cleaning
  • VLookup & HLookup Functions2 lectures • 15min
  • VLookup & HLookup Functions
  • Goal Seek & Data table4 lectures • 15min
  • Goal Seek & Data table
  • Average, Median, & Countif Functions2 lectures • 9min
  • Average, Median, & Countif Functions
  • Data Findings Communication3 lectures • 11min
  • Data Findings Communication


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