Learning Options

  • Online Video-Based Learning
  • Flexible Schedule
  • Expert Trainers with Industry Experience
  • High Pass Rates
  • 24/7 Personalised Support
  • Interactive Learning Materials
  • Live Online Classes
  • Expert Trainers with Industry Experience
  • Live Assessment and Feedback
  • Interactive Learning Materials
  • Networking Opportunities
  • High Pass Rates

Overview

The Business Analytics with Excel Course is designed to equip professionals with the analytical and data-driven decision-making skills required in today’s business environment. This course focuses on mastering Excel’s powerful tools, such as pivot tables, charts, Power Query, and advanced formulas, to effectively analyse and visualise data.

In a world driven by data, the ability to extract meaningful insights is a sought-after skill. This course ensures learners can leverage Excel for tasks like data cleaning, trend analysis, and business forecasting, enhancing their strategic contributions to organisational success.

This 1-day course offered by MPES includes interactive exercises, real-world case studies, and expert-led instruction, ensuring learners gain both technical expertise and confidence in applying Excel to solve business challenges.

 

Course Objectives

  • Learn to organise, clean, and manipulate large datasets efficiently.
  • Master advanced Excel functions and formulas for data analysis.
  • Create insightful data visualisations using Excel charts and dashboards.
  • Use Power Query to streamline data import and transformation processes.
  • Analyse trends and forecast business outcomes with predictive tools.
  • Develop actionable insights to support strategic decision-making.
  • Build professional-grade reports for effective communication of findings.

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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

    • Basic Knowledge of Excel: Familiarity with basic Excel functions is recommended. 

    • Business Acumen: A foundational understanding of business operations will be beneficial. 

    • Language Proficiency: Course materials are provided in English, and learners should have a good command of the language. 

Learning Outcomes

    • Acquire advanced Excel skills to perform sophisticated data analysis and modelling. 

    • Create compelling visualisations and dashboards to present data effectively. 

    • Gain expertise in forecasting and trend analysis for strategic decision-making. 

    • Learn to automate data workflows and improve efficiency in reporting. 

Target Audience

    The Business Analytics with Excel Course is ideal for professionals seeking to enhance their data analysis capabilities and decision-making skills. Individuals in the following roles will benefit:

    • Business Analysts
    • Data Analysts
    • Financial Analysts
    • Marketing Professionals
    • Operations Managers
    • Entrepreneurs 

Course content

    Module 1: Introduction to MS Excel 

    • What is Business Analytics? 

    • What is MS Excel? 

    • Features of MS Excel 

    • Basic Worksheet Modelling 

    • Range Names 

     

    Module 2: Functions 

    • Lookup Functions 

    • INDEX Function 

    • MATCH Function 

    • Text Functions 

    • NPV and XNPV Functions 

    • IRR, XIRR, and MIRR Functions 

    • More Excel Financial Functions 

    • IF, IFERROR, IFS, CHOOSE, and SWITCH Functions 

    • COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK Functions 

    • SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS Functions 

    • OFFSET Function 

    • INDIRECT Function 

     

    Module 3: Using Solver 

    • Using Solver to Determine the Optimal Product Mix 

    • Using Solver to Schedule Your Workforce 

    • Using Solver to Solve Transportation or Distribution Problems 

    • Using Solver for Capital Budgeting 

    • Using Solver for Financial Planning 

    • Using Solver to Rate Sports Teams 

     

    Module 4: Data in Excel 

    • Importing Data from a Text File or Document 

    • Geography and Stock Data Types 

    • Validating Data 

    • Summarising Data by Using Histograms and Pareto Charts 

    • Summarising Data by Using Descriptive Statistics 

    • Using Pivot Tables and Slicers to Describe Data 

    • Data Model 

    • Summarising Data with Database Statistical Functions 

    • Consolidating Data 

     

    Module 5: Introduction to Variables 

    • An Introduction to Random Variables 

    • Binomial, Hypergeometric, and Binomial Random Variables 

    • Poisson and Exponential Random Variable 

    • Normal Random Variable and Z-Scores 

    • Using the Lognormal Random Variable to Model Stock Prices 

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. Do I need advanced Excel knowledge to take this course?

No, the course is designed for professionals with basic Excel knowledge. Advanced concepts are covered step-by-step. 

Q. What skills will I gain from this course?

You’ll master advanced Excel techniques for data analysis, create dashboards, and learn forecasting methods to derive actionable business insights. 

Q. How will this course benefit my career?

This course equips you with analytical skills to make data-driven decisions, boosting your credibility and opening up opportunities in analytics-focused roles. 

Q. Is this course suitable for non-analytical professionals?

Yes, it’s suitable for anyone looking to develop their business analytics capabilities, including professionals transitioning to analytics roles. 

Q. Will I receive a certification upon completing the course?

Yes, you will receive a course completion certificate. This will validate your proficiency in using Excel for business analytics. 

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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

£2995

Business Analytics with Excel Course

5th January 2024

5th January 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Business Analytics with Excel Course

1st March 2024

1st March 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Business Analytics with Excel Course

3rd May 2024

3rd May 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Business Analytics with Excel Course

5th July 2024

5th July 2024

(1 days)

DELIVERY METHOD

Classroom

Course Schedule

£1295

Business Analytics with Excel Course

Fri 12th Jan 2024

Fri 12th Jan 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1295

Business Analytics with Excel Course

Fri 23rd Feb 2024

Fri 23rd Feb 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1295

Business Analytics with Excel Course

Fri 15th Mar 2024

Fri 15th Mar 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1295

Business Analytics with Excel Course

Fri 21st Jun 2024

Fri 21st Jun 2024

Duration - 1 Days

DELIVERY METHOD

Virtual