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Overview

The Data Analysis Training Using MS Excel course is designed for professionals and individuals who seek to strengthen their analytical skills and leverage Excel’s robust functionalities for data analysis. Whether you are a novice or have intermediate experience, this course provides step-by-step guidance to transform raw data into actionable insights.

This course focuses on key data analysis concepts, such as data organisation, visualisation, statistical functions, and advanced tools like PivotTables and Power Query. It empowers learners to extract meaningful information from data, enabling better decision-making and strategic planning within an organisation.

This 2-Day course by MPES equips learners with the practical expertise required to manage complex datasets, produce insightful reports, and contribute effectively to organisational success in a data-driven world.
 

Course Objectives

  • Develop a strong understanding of data analysis principles and their applications using MS Excel
  • Learn techniques to organise, clean, and format datasets for analysis
  • Gain proficiency in using Excel functions and formulas to summarise and manipulate data effectively
  • Master the creation of data visualisations, such as charts and graphs, to present findings clearly
  • Explore advanced Excel tools, including PivotTables, Power Query, and Data Analysis ToolPak, for comprehensive data analysis
  • Understand how to identify trends, patterns, and insights in datasets for data-driven decision-making
  • Learn to automate repetitive tasks in Excel using macros and other advanced features
  • Apply real-world data analysis scenarios to enhance problem-solving and critical thinking skills

Upon completion, learners will possess the analytical expertise required to tackle complex data challenges, produce insightful reports, and contribute to data-driven decision-making processes. 

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Average completion time

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Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

    • Educational Background: There are no prerequisites for this course; however, familiarity with basic Excel functions and a general understanding of data concepts will be beneficial. 

    • Language Proficiency: A good command of English is essential, as all instructional materials, exercises, and assessments are in English. 

    • Interest in Data Analysis: This course is ideal for professionals and individuals with a keen interest in harnessing MS Excel to enhance their data analysis capabilities. 

Learning Outcomes

    • Utilise Advanced Excel Features: Learn to work with functions such as PivotTables, advanced formulas, and data validation to manipulate and analyse data effectively. 

    • Data Visualisation Skills: Develop the ability to create impactful charts, graphs, and dashboards that communicate data insights clearly and professionally. 

    • Data Cleaning and Management: Acquire techniques for cleaning datasets, handling missing data, and ensuring data integrity for accurate analysis. 

    • Interpret Data for Decision-Making: Master the skills to analyse trends, forecast outcomes, and draw actionable insights using MS Excel tools. 

    • Optimise Workflow: Discover methods to automate repetitive tasks and streamline data analysis processes using macros and other advanced Excel features. 

Target Audience


    The Data Analysis Training Using MS Excel is suitable for professionals and learners aiming to enhance their proficiency in data-driven decision-making. This includes: 

    • Business Analyst 

    • Data Analyst 

    • Operations Manager 

    • Financial Analyst 

    • Project Manager 

    • Administrative Professional 

    • Marketing Analyst 

    • HR Professional  

Course content


    Module 1: Overview of Data Analysis 

    • What is Data Analysis? 

    • Why Data Analysis? 

    • Types of Data Analysis 

    • Data Analysis Process
       

    Module 2: Introduction to Data Analysis with MS Excel 

    • Introduction to Excel Data Analysis 

    • Data Cleaning 

    • Data Analysis 

    • Data Visualisation
       

    Module 3: Excel Ribbon and Importing Data into Excel 

    • Excel Ribbons 

    • Importing Data into Excel
       

    Module 4: Work with Range Names 

    • Steps to Create Range Name 

    • How to Rename Range Name? 

    • How to Delete Range Name? 

    • Use Name Range in Workbook
       

    Module 5: Introduction to Tables 

    • What is a Table? 

    • What is the Purpose of Creating a Table?
       

    Module 6: Cleaning Data with Text Functions 

    • Removing Unwanted Characters from the Text 

    • Steps for Data Cleaning

    •  

    Module 7: Working with Date Formats and Time Formats 

    • Steps to Change Data Format 

    • Steps to Change Time Format
       

    Module 8: Conditional Formatting in Excel 

    • What is Conditional Formatting and How to Use It? 

    • Apply Conditional Formatting on Text
       

    Module 9: Sorting and Filtering Data Columns 

    • What is Sorting and Filtering? 

    • Sort a Particular Column 

    • Applying Sorting on Two Columns 

    • Steps to Sort Dates 

    • Clear Filter 

    • Apply Filter on Text 

    • Apply Filter by Cell Icon
       

    Module 10: Subtotals and Quick Analysis 

    • Subtotals 

    • Steps to Apply Subtotals 

    • Quick Analysis 

    • Steps to Use Quick Analysis
       

    Module 11: Working with Multiple Sheets 

    • Worksheet Tab 

    • Viewing Multiple Worksheets at Once 

    • Grouping Your Worksheets Together 

    • Steps to Rename a Worksheet 

    • Steps to Move/Copy a Worksheet 

    • Steps to Delete a Worksheet
       

    Module 12: Data Validation 

    • What is Data Validation? 

    • How to Use Data Validation? 

    • Using Data Validation?
       

    Module 13: Data Visualisation 

    • What is Data Visualisation? 

    • Using Charts in Excel 

    • All Charts in Excel
       

    Module 14: Exploring Lookup Functions 

    • Lookup Function 

    • VLOOKUP and HLOOKUP 

    • INDEX Function 

    • MATCH Function
       

    Module 15: Pivot Tables 

    • PivotTable Overview 

    • Creating a PivotTable in MS Excel 

    • Recommended PivotTables 

    • PivotTable Fields 

    • PivotTable Areas 

    • Filters and Slicers 

    • Summarising Values by Other Calculation 

    • Using ANALYSE and DESIGN on the Ribbon
       

    Module 16: What If Analysis 

    • What If Analysis 

    • What If Analysis with Data Tables 

    • What If Analysis with Scenario Manager 

    • What If Analysis with Goal Seek 

     

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

  • MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
  • Get expert guidance from tutors available online to assist with your studies.
  • Check your eligibility for exemptions with the relevant professional body before starting.
  • Our supportive team is here to offer study advice and support throughout your course.
  • Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

MPES Learning offers globally recognised courses in accounting,

Need help with your ACCA course?

Our course advisors are here to help guide you and ensure that you choose the right course for you and your career journey.

Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is the primary objective of the course?

The course aims to equip learners with advanced data analysis skills using MS Excel, enabling them to organise, analyse, and visualise data effectively for informed decision-making. 

Q. Who should attend this course?

This course is ideal for professionals, managers, analysts, and anyone who regularly works with data and wants to enhance their proficiency in MS Excel for data-driven tasks. 

Q. What will I learn in this course?

You will learn techniques such as data cleaning, advanced formulae, pivot tables, chart creation, and automating workflows using Excel to improve data efficiency and reporting accuracy. 

Q. How will this course benefit my organisation?

Organisations will benefit from improved data analysis and reporting accuracy, enabling better strategic decisions and increased productivity through efficient data handling. 

Q. How will this course help with my career growth?

This training enhances your analytical and technical skills, making you a valuable asset for roles in data management, analytics, and business intelligence, thereby accelerating your career growth. 

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Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.

Course Schedule

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Data Analysis Training using MS Excel

11th April 2024

12th April 2024

(2 days)

DELIVERY METHOD

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5th July 2024

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Fri 26th Jan 2024

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Fri 26th Apr 2024

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Fri 2nd Aug 2024

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Fri 8th Nov 2024

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