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The Secrets of Data Analysis Using Microsoft Excel

Business

Rating4.4
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The Secrets of Data Analysis Using Microsoft Excel, available at $44.99, has an average rating of 4.38, with 29 lectures, 3 quizzes, based on 4 reviews, and has 2001 subscribers.

You will learn about Develop proficiency in using Excel's interface, including navigating worksheets, entering and formatting data, and utilizing basic functions and formulas. Gain skills in manipulating and transforming data using Excel's 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 Excel's charting tools. Develop proficiency in using PivotTables and Pivot Charts to analyze and summarize large datasets. Learn how to use Excel's 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. This course is ideal for individuals who are Accountants or Accounting Students or Financial Professional or Finance Students or Finance Managers or Accounting Managers or Business Managers or Business Development Managers or Sales Managers or Sales Specialists It is particularly useful for Accountants or Accounting Students or Financial Professional or Finance Students or Finance Managers or Accounting Managers or Business Managers or Business Development Managers or Sales Managers or Sales Specialists.

Enroll now: The Secrets of Data Analysis Using Microsoft Excel

Summary

Title: The Secrets of Data Analysis Using Microsoft Excel

Price: $44.99

Average Rating: 4.38

Number of Lectures: 29

Number of Quizzes: 3

Number of Published Lectures: 29

Number of Published Quizzes: 3

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Develop proficiency in using Excel's interface, including navigating worksheets, entering and formatting data, and utilizing basic functions and formulas.
  • Gain skills in manipulating and transforming data using Excel's 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 Excel's charting tools.
  • Develop proficiency in using PivotTables and Pivot Charts to analyze and summarize large datasets.
  • Learn how to use Excel's 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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Instructor's Introduction

Lecture 2: Course Intro and Expectation

Lecture 3: Importance of Excel in Data Analysis

Lecture 4: Your Study Plan

Chapter 2: Data Filter and Sorting

Lecture 1: Microsoft Excel Review

Lecture 2: Sorting Function

Lecture 3: Filter Function

Chapter 3: Conditional Formatting and Visualization

Lecture 1: Efficiency in Data Organization

Lecture 2: Conditional Formating

Lecture 3: Charts & Visuals

Lecture 4: Let's Communicate Together!

Chapter 4: Pivot tables & What-if Analysis

Lecture 1: Pivot Tables

Lecture 2: What-if Analysis

Lecture 3: Continuous Learning and Skill Enhancement

Chapter 5: Data Cleaning

Lecture 1: Proper Function

Lecture 2: Duplicate Function

Lecture 3: The Concatenate Function

Lecture 4: The Substitute Function

Chapter 6: VLookup & HLookup Functions

Lecture 1: VLookup Function

Lecture 2: HLookup function

Chapter 7: Goal Seek & Data table

Lecture 1: Goal Seek Function

Lecture 2: Clear Communication of Insights

Lecture 3: Data Table

Lecture 4: SumIf Function

Chapter 8: Average, Median, & Countif Functions

Lecture 1: Average & Median

Lecture 2: CountIf Function

Chapter 9: Data Findings Communication

Lecture 1: Communicating the Findings of Data Analysis

Lecture 2: What to do after Data Analyzing?

Lecture 3: Wrap-up and Conclusion

Instructors

  • Sameh Elsayed
    Sameh Elsayed
    Best-selling Business Course Creator, FCCA, MSc UCL, DIPIFR

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 1 votes
  • 4 stars: 1 votes
  • 5 stars: 2 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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