Data Analysis Training using MS Excel

The Data Analysis Training Using MS Excel course offers learners an in-depth understanding of the core concepts and practical applications of data analysis.

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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.

Average completion time

2 Month

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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

Discover how MPES Learning transforms careers with real success stories.

Aaron Allcote

As a finance officer, MPES has been a huge help in understanding the process of recording and processing transactions from all different perspectives. The courses are very easy to follow, and the training they provide can be applied to real-life scenarios. The courses have been a huge help for me, and I would highly recommend them.

Aaron Allcote

Finance Officer

Bob Beaumont

I completed all of my ACA studies with MPES and I think you would struggle to find a better training provider anywhere in the British Isles. MPES' tutors are excellent both at delivering training and giving individualised feedback and coaching. the supporting materials and the out of class support are also great.

Bob Beaumont

Senior Accountant

Arvy Pasanting

As a qualified accountant, studying with MPES has been very rewarding experience. Its team of passionate and dedicated mentors gave me the confidence and knowledge I needed to not just at excel in my current role as an auditor, but also inspired me to expand my horizons.

Arvy Pasanting

Audit Senior

David Ford

I was recommended MPES after searching for a way to pursue a career in the accounting profession, I have studied with them throughout my journey utilising online learning opportunities that fit around the needs of my employer.

David Ford

Accountant

Aaron Allcote

Aaron Allcote

Finance Officer

Bob Beaumont

Bob Beaumont

Senior Accountant

Arvy Pasanting

Arvy Pasanting

Audit Senior

David Ford

David Ford

Accountant

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

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