What You’ll Learn
  • "Develop proficiency in using Excels interface
  • including navigating worksheets
  • entering and formatting data
  • and utilizing basic functions and formulas."
  • "Gain skills in manipulating and transforming data using Excels built-in tools and functions."
  • Understand how to calculate and interpret descriptive statistics
  • such as mean
  • median
  • mode
  • standard deviation
  • and variance
  • using Excel functions.
  • "Learn how to create effective data visualizations
  • such as charts and graphs
  • using Excels charting tools."
  • Develop proficiency in using PivotTables and Pivot Charts to analyze and summarize large datasets.
  • "Learn how to use Excels data analysis tools
  • such as Solver and Data Analysis ToolPak
  • for data mining and forecasting tasks."
  • earn how to create professional-looking dashboards
  • reports
  • and visualizations that communicate key findings to stakeholders.
  • Explore advanced Excel features and techniques for data analysis
  • such as array formulas and conditional formatting.
  • Develop skills in presenting analysis results and insights effectively in reports and presentations using Excel.

Requirements

  • Excel Basic Knowledge
  • Business Basic Knowledge
  • Passion about Data Reporting

Description

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
Courses

Course Includes:

  • Price: FREE
  • Enrolled: 2028 students
  • Language: English
  • Certificate: Yes

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