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Edward Falzon

This 1-hour, project-based course is an introduction to spreadsheets. We’ll be using Excel on the Web in this project, which is the free spreadsheet program offered by Microsoft. However, all of the concepts that you will learn in this project will be applicable to other spreadsheet programs, such as LibreOffice Calc and Google Sheets.

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This 1-hour, project-based course is an introduction to spreadsheets. We’ll be using Excel on the Web in this project, which is the free spreadsheet program offered by Microsoft. However, all of the concepts that you will learn in this project will be applicable to other spreadsheet programs, such as LibreOffice Calc and Google Sheets.

We will cover the following concepts in a hands-on manner:

- Sorting tables of data

- Filtering data for faster access to key information

- Data-validation for minimising human error

Please Note: If you don't have a free Microsoft account, you will need to create one to be able to complete the content.

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What's inside

Syllabus

Project Overview
This 1-hour, project-based course is an introduction to spreadsheets. We’ll be using Excel on the Web in this project, which is the free spreadsheet program offered by Microsoft. However, all of the concepts that you will learn in this project will be applicable to other spreadsheet programs, such as LibreOffice Calc and Google Sheets.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a comprehensive overview of spreadsheet applications
Suitable for beginners with no prior knowledge of spreadsheets
Introduces fundamental spreadsheet concepts, including sorting, filtering, and data validation
Emphasizes hands-on learning through practical examples

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Excel for Beginners: Sorting, Filtering, Data-Validation with these activities:
Connect with Experienced Spreadsheet Users
Gain additional support and guidance by connecting with experienced spreadsheet users.
Browse courses on Mentorship
Show steps
  • Identify potential mentors
  • Reach out and introduce yourself
  • Set up regular meetings or communication
Create a Spreadsheet Budgeting Tool
Applying spreadsheet skills to develop a practical tool for financial management.
Browse courses on Spreadsheet Applications
Show steps
  • Define the scope and purpose of the tool
  • Design the layout and structure of the spreadsheet
  • Create formulas and functions for calculations
  • Test and refine the tool
Complete Spreadsheet Data Cleaning Exercises
Improving spreadsheet handling by practicing data cleaning techniques.
Browse courses on Data Cleaning
Show steps
  • Find online exercises or create your own datasets
  • Clean and manipulate data
  • Review results and identify areas for improvement
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a Spreadsheet Data Analysis Workshop
Enhancing spreadsheet skills by learning and applying advanced techniques in a workshop environment.
Browse courses on Data Analysis Techniques
Show steps
  • Research and identify relevant workshops
  • Register and attend the workshop
  • Practice the techniques learned
Follow Excel VBA Programming Tutorials
Enhance spreadsheet functionality and efficiency by learning VBA programming techniques.
Browse courses on Excel VBA
Show steps
  • Find online tutorials or courses on Excel VBA
  • Follow the tutorials and practice writing VBA code
  • Apply VBA to automate tasks in your spreadsheets
Develop an Interactive Spreadsheet Dashboard
Applying spreadsheet skills to create interactive and visually appealing dashboards to enhance data presentation.
Browse courses on Interactive Dashboards
Show steps
  • Identify the purpose and audience of the dashboard
  • Design the layout and interface
  • Create and populate the dashboard with relevant data
  • Test and refine the dashboard

Career center

Learners who complete Excel for Beginners: Sorting, Filtering, Data-Validation will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, analyze, and interpret data in order to find solutions to business problems. Knowledge of data sorting, filtering, and validation is essential for this role, as it ensures that the information used for decision-making is accurate and reliable.
Business Intelligence Analyst
Business Intelligence Analysts use data analysis to help organizations make informed decisions. They collect, clean, and analyze data to identify trends and patterns, and then use this information to make recommendations on how to improve business processes.
Market Researcher
Market Researchers collect and analyze data on consumer behavior in order to help businesses understand their target market. Data sorting, filtering, and validation are essential skills for this role, as they ensure that the data collected is accurate and reliable.
Financial Analyst
Financial Analysts use data to evaluate investment opportunities and make recommendations on how to manage financial risk. Strong data analysis skills are essential for this role, as analysts must be able to quickly and accurately assess financial data.
Statistician
Statisticians collect, analyze, and interpret data in order to draw conclusions about the world around us. Data sorting, filtering, and validation are essential skills for this role, as they ensure that the data used for analysis is accurate and reliable.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business processes. They develop and implement mathematical models to help organizations make better decisions about how to allocate resources and manage operations.
Database Administrator
Database Administrators design, implement, and maintain databases. They use data sorting, filtering, and validation to ensure that the data in the database is accurate and reliable.
Data Scientist
Data Scientists use data to solve complex problems and build predictive models. Strong data analysis skills are essential for this role, as data scientists must be able to quickly and accurately assess large amounts of data.
Software Engineer
Software Engineers design, develop, and maintain software applications. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help engineers ensure that the data used in their applications is accurate and reliable.
Project Manager
Project Managers plan and execute projects. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help project managers ensure that the data used in their projects is accurate and reliable.
Sales Manager
Sales Managers lead and manage sales teams. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help sales managers ensure that the data used in their sales management is accurate and reliable.
Business Analyst
Business Analysts help organizations identify and solve business problems. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help analysts ensure that the data used in their analysis is accurate and reliable.
Marketing Manager
Marketing Managers plan and execute marketing campaigns. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help marketing managers ensure that the data used in their campaigns is accurate and reliable.
Web Developer
Web Developers design and develop websites. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help developers ensure that the data used on their websites is accurate and reliable.
Product Manager
Product Managers develop and manage products. While not always a requirement, data sorting, filtering, and validation skills can be helpful for this role, as they can help product managers ensure that the data used in their product development is accurate and reliable.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Excel for Beginners: Sorting, Filtering, Data-Validation.
This comprehensive reference guide covers all aspects of Excel, including sorting, filtering, and data validation. It is an invaluable resource for experienced Excel users who need quick and reliable information on specific Excel functions and features.
This textbook provides a comprehensive introduction to data analysis using Excel. It covers a wide range of topics, including sorting, filtering, and data validation, and is commonly used as a textbook in academic institutions.
This beginner-friendly guide provides a gentle introduction to Excel. It covers the basics of sorting, filtering, and data validation, making it a suitable resource for those who have little to no prior experience with spreadsheets.
This textbook provides a comprehensive overview of data analysis and business modeling using Excel 2019. It covers advanced techniques and case studies, making it a valuable resource for those who want to delve deeper into data analysis and modeling.
Provides a practical guide to data analysis and visualization using Excel. It covers essential techniques for cleaning, transforming, and visualizing data, offering valuable insights for those interested in data storytelling and presentation.
Provides a practical overview of statistical analysis using Excel. While it assumes some prior knowledge of statistics, it offers valuable insights into the use of Excel for statistical data analysis and interpretation.
Provides an introduction to Excel VBA programming. While it is not directly related to the course topics, it can be a useful reference for those interested in automating tasks and extending the functionality of Excel.

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