Excel Skills for Business: Advanced (Coursera)

Offered by Macquarie University,
Excel Skills for Business: Advanced (Coursera)

Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces around the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. Across the globe, millions of job advertisements requiring Excel skills are posted every day. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this course will position you ahead of others, so keep reading.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

In this last course of our Specialization Excel Skills for Business you will build on the strong foundations of the first three courses: Essentials, Intermediate I + II. In the Advanced course, we will prepare you to become a power user of Excel - this is your last step before specializing at a professional level. The topics we have prepared will challenge you as you learn how to use advanced formula techniques and sophisticated lookups. You will clean and prepare data for analysis, and learn how to work with dates and financial functions. An in-depth look at spreadsheet design and documentation will prepare you for our big finale, where you will learn how to build professional dashboards in Excel.
Course 4 of 4 in the Excel Skills for Business Specialization

Syllabus

WEEK 1
Spreadsheet Design and Documentation
As an intermediate Excel user, you have the basics down. The first module of the Advanced course focusses on creating and maintaining accurate, flexible, responsive and user-friendly spreadsheets. You will learn how to design flexible and auditable spreadsheets, construct transparent calculations, create user-friendly navigation, and use styles, themes and formatting to tie it all up in a nice bow.

WEEK 2
Advanced Formula Techniques
Excel often requires you to perform complex analysis on large sets of data. This can be made a lot easier using array formulas, which can perform multiple calculations simultaneously and ensure the accuracy of your spreadsheet. This module covers the use of array formulas, how to build them and use them effectively.

WEEK 3
Data Cleaning and Preparation
Been handed a messy spreadsheet? This module focuses on data cleaning and preparation. You will learn how to use dynamic and automated fixes, clean messy data, automate these processes through functions, and ensure data remains clean dynamically. We will use functions to fix dates, replaces blanks and remove unwanted characters from data – all to help us build an efficient solution that lasts.

WEEK 4
Financial Functions and Working with Dates
This module introduces financial functions into our Excel knowledge base. Financial functions are often used in businesses and Excel has a variety of tools to help you with that. This week, you will learn to apply date formulas in calculations, create loan schedules with financial functions, as well as use depreciation functions.

WEEK 5
Advanced Lookup Functions
It is always a good idea to make your spreadsheets (and work!) more automated. Automated lookups can make your work fast and efficient. This module builds on your array capabilities and explores a range of functions to create dynamic lookup ranges – INDIRECT, ADDRESS, OFFSET and INDEX.

WEEK 6
Building Professional Dashboards
To bring it home, this module guides you through the steps of building a professional dashboard. Data is meaningless unless it tells a story and can be used as business intelligence. This module will help you set up a dashboard – learn how to visualise data through graphs and charts, create data models, and add interactivity.
Final Assessment

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera) Coursera
Delft University of Technology,Erasmus University Rotterdam

Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera)

Through this course learners will gain the tools to decide whether or not Excel is the right software to use. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models.

Nov 9th 2026
4 Weeks
Power Query Fundamentals (Coursera) Coursera
Corporate Finance Institute

Power Query Fundamentals (Coursera)

In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.

Nov 23rd 2026
5-12 Weeks
Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point) (Coursera) Coursera
Universitat Autònoma de Barcelona

Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point) (Coursera)

Los continuos cambios tecnológicos, sobre todo en aquellos aspectos vinculados a las tecnologías de la información y la comunicación (TIC) hacen que las personas tengan la necesidad de actualizarse de forma continua para que sus conocimientos no queden obsoletos. En este contexto, para las empresas se convierte en algo imprescindible disponer de profesionales que tengan las competencias necesarias para ejercer con éxito las actividades que requieren en su lugar de trabajo.

Nov 23rd 2026
5-12 Weeks
Salesforce Integration (Coursera) Coursera
University of California, Irvine

Salesforce Integration (Coursera)

Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

Nov 9th 2026
3 Weeks
Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

Nov 9th 2026
4 Weeks
Optimization for Decision Making (Coursera) Coursera
University of Minnesota

Optimization for Decision Making (Coursera)

In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house or buy some from a third-party to meet the demand? Prescriptive Analytics is the branch of analytics that can provide answers to these questions. It is used for prescribing data-based decisions.

Nov 9th 2026
4 Weeks
Statistics and Data Analysis with Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Nov 16th 2026
5-12 Weeks
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

Fundamentals of Data Analysis in Excel (Coursera)

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Nov 16th 2026
5-12 Weeks
Designing Engaging Dashboards for Healthcare Analytics (Coursera) Coursera
Northeastern University

Designing Engaging Dashboards for Healthcare Analytics (Coursera)

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?” Discusses the challenges of making data understandable across a wide range of audiences.

Nov 23rd 2026
4 Weeks
Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera) Coursera
University of Minnesota

Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera)

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations.

Nov 9th 2026
4 Weeks
Exploration et production de données pour les entreprises (Coursera) Coursera
University of Illinois at Urbana-Champaign

Exploration et production de données pour les entreprises (Coursera)

Ce cours fournit un cadre analytique afin de vous aider à évaluer les problèmes clés de manière structurée. Il vous procurera également des outils afin de mieux gérer les incertitudes qui envahissent et compliquent les processus des entreprises. Plus précisément, vous serez initié(e) aux statistiques et à la manière de résumer les données. Vous découvrirez les concepts de fréquence, de loi normale, d’études statistiques, de l’échantillonnage et des intervalles de confiance.

Nov 9th 2026
4 Weeks