We may earn an affiliate commission when you visit our partners.

Business Analytics using Excel

Priyanka Mehta

4.5

Based on 24 ratings

Priyanka Mehta

To be successful in this course, you should have a basic understanding of Excel and comfort working with spreadsheets.

By the end of this course, you will:

- Use Excel to analyze data and build dynamic dashboards

- Apply statistical analysis techniques for deeper insights

- Automate repetitive tasks with Macros to boost productivity

Ideal for professionals and beginners aiming to strengthen Excel-based business analytics skills.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 2

Annual Subscription

Invest in your career growth and save. Start your annual subscription to Coursera Plus and access 10,000+ programs.

Valid until March 12, 2027

Save 40% Off 3 Months

Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.

What's inside

Syllabus

Foundations of Business Analytics

This course offers a comprehensive journey through business analytics using Excel. Start with the basics of analytics, then learn to clean and prepare data for analysis. Master Excel functions, Pivot Tables, and interactive dashboards. Explore tools like Goal Seek, Solver, and descriptive statistics. Advance to statistical techniques including regression, ANOVA, and correlation, and automate tasks using Macros for efficient data analysis.

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Career center

Learners who complete Business Analytics using Excel will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst extracts, cleans, and interprets data to provide actionable insights for decision-making. This course is exceptionally well-suited for an aspiring Data Analyst, providing a comprehensive foundation in using Excel for core analytical tasks. Learners will master data preparation techniques like sorting and filtering, apply advanced Excel functions for complex calculations, and leverage Pivot Tables and slicers for large dataset analysis. The ability to create dynamic dashboards and automate repetitive tasks using Macros, specifically taught in this course, is crucial for efficiency and presenting clear data narratives in this role. Moreover, the course covers statistical analysis techniques such as regression, hypothesis testing, and ANOVA, essential for deriving deeper insights from business data.

See salaries and explore the career path for Data Analyst

Reporting Analyst

A Reporting Analyst is responsible for designing, developing, and maintaining reports and dashboards that present crucial business information. This course is an excellent fit for an aspiring Reporting Analyst, as it directly focuses on mastering the tools and techniques vital for this role within Excel. Learners will develop strong skills in data preparation, advanced Excel functions, and the powerful use of Pivot Tables and slicers for efficient data aggregation. The course specifically teaches how to create interactive and dynamic dashboards, which is a primary output for a Reporting Analyst. Additionally, automating repetitive reporting tasks using Macros, a key component of this course, is invaluable for increasing efficiency and ensuring timely delivery of accurate reports.

See salaries and explore the career path for Reporting Analyst

Business Analyst

A Business Analyst bridges the gap between business problems and technological solutions, requiring strong analytical skills to gather requirements, analyze data, and present findings. This course offers highly relevant skills for a Business Analyst, empowering them to effectively analyze business data using Excel. Learners will gain proficiency in data preparation, apply logical and statistical formulas, and utilize Pivot Tables to understand business performance. The course’s focus on building interactive dashboards allows a Business Analyst to visualize key metrics and communicate insights clearly to stakeholders. Furthermore, the inclusion of statistical analysis techniques and automation with Macros helps streamline reporting and provides deeper understanding of business trends, directly supporting an effective Business Analyst role.

See salaries and explore the career path for Business Analyst

Sales Operations Analyst

A Sales Operations Analyst optimizes sales processes, analyzes sales performance metrics, and provides data-driven insights to sales teams to enhance efficiency and effectiveness. This course is an excellent fit for a Sales Operations Analyst, as it directly equips them with the crucial Excel skills needed for this role. Learners will master data preparation, apply advanced Excel functions and statistical methods to analyze sales pipelines, forecast trends, and evaluate sales strategies. The course’s emphasis on building interactive dashboards allows a Sales Operations Analyst to create compelling visualizations of sales performance, key performance indicators, and regional trends. Furthermore, automating routine tasks with Macros, as taught in this course, is invaluable for streamlining reporting and boosting productivity.

See salaries and explore the career path for Sales Operations Analyst

Supply Chain Analyst

A Supply Chain Analyst optimizes the flow of goods and information across the supply chain, requiring extensive data analysis for inventory management, logistics, and demand forecasting. This course is highly relevant for a Supply Chain Analyst, providing mastery in using Excel for data preparation, analysis, and visualization crucial for this role. Learners will develop strong skills in statistical analysis, including regression and ANOVA, essential for forecasting demand and evaluating supplier performance. The course also teaches the creation of interactive dashboards, enabling a Supply Chain Analyst to visualize key supply chain metrics, identify inefficiencies, and present findings effectively. Furthermore, the ability to automate data processing and reporting with Macros, a key component of this course, is invaluable for streamlining operations and enhancing decision-making.

See salaries and explore the career path for Supply Chain Analyst

Financial Analyst

A Financial Analyst performs in-depth financial modeling, forecasting, and performance analysis to support investment decisions and strategic planning. This course is highly beneficial for a Financial Analyst, building expertise in Excel, which is indispensable in finance. Learners will gain proficiency in statistical functions, allowing for robust trend analysis and financial forecasting. The course also teaches the creation of interactive dashboards, enabling a Financial Analyst to visualize financial performance and present complex data clearly to management. Furthermore, the ability to automate routine reporting tasks using Macros and apply statistical techniques like regression can significantly enhance productivity and accuracy in analyzing financial data, a core competency for those in this field.

See salaries and explore the career path for Financial Analyst

Operations Analyst

An Operations Analyst optimizes business processes, improves efficiency, and enhances operational performance through data-driven insights. This course is well-suited for an Operations Analyst, as it provides mastery of Excel for analyzing operational data. Learners will develop strong skills in data preparation, applying statistical functions, and leveraging Pivot Tables to identify bottlenecks and areas for improvement. The course teaches the creation of interactive dashboards, allowing an Operations Analyst to visualize key performance indicators and track operational health effectively. Furthermore, the inclusion of statistical analysis techniques like ANOVA and regression, alongside the ability to automate routine reporting with Macros, can significantly enhance an Operations Analyst’s capacity to drive process improvements and make informed decisions.

See salaries and explore the career path for Operations Analyst

Pricing Analyst

A Pricing Analyst determines optimal pricing strategies by conducting thorough market research, cost analysis, and competitor pricing evaluations. This course is highly relevant for a Pricing Analyst, providing mastery in using Excel for complex analytical tasks central to this role. Learners will develop strong skills in statistical analysis, including regression and hypothesis testing, which are essential for modeling pricing impacts and elasticity. The course also teaches the creation of interactive dashboards, enabling a Pricing Analyst to visualize pricing scenarios, track market changes, and present data-backed recommendations effectively. Furthermore, the ability to automate data preparation and analysis with Macros can significantly enhance efficiency in this data-intensive field.

See salaries and explore the career path for Pricing Analyst

Marketing Analyst

A Marketing Analyst examines marketing data to evaluate campaign performance, understand customer behavior, and identify market opportunities. This course can be highly helpful for a Marketing Analyst, equipping them with robust Excel skills for data-driven insights. Learners will learn to analyze marketing datasets using various Excel functions, Pivot Tables, and statistical methods such as regression, to uncover patterns and assess campaign effectiveness. The ability to build dynamic dashboards, as taught in this course, allows a Marketing Analyst to visualize marketing trends and present performance metrics in an engaging and understandable format. Automating repetitive data processing tasks with Macros can also significantly boost productivity in this analytical field.

See salaries and explore the career path for Marketing Analyst

Customer Success Analyst

A Customer Success Analyst focuses on monitoring customer health, identifying churn risks, and discovering upsell opportunities by analyzing customer data. This course is well-suited for a Customer Success Analyst, providing robust Excel skills for gaining insights from customer interactions and usage patterns. Learners will master data preparation techniques, apply various Excel functions, and utilize Pivot Tables to segment customers and track engagement metrics. The course’s focus on building dynamic dashboards is particularly valuable, enabling a Customer Success Analyst to visualize customer health scores, track satisfaction, and present key insights. Applying statistical analysis and automating reporting with Macros, as taught in this course, further enhances their ability to proactively improve customer retention and satisfaction.

See salaries and explore the career path for Customer Success Analyst

Data Visualization Specialist

A Data Visualization Specialist transforms complex data into compelling visual stories and interactive dashboards to communicate insights effectively. While specialized tools exist, this course can be very helpful for a Data Visualization Specialist, building strong foundational skills in creating visualizations using Excel. Learners will gain proficiency in creating dynamic and interactive dashboards, directly addressing a core aspect of this role. The course emphasizes using Excel’s analytical tools and advanced formatting to present data clearly. Mastering Pivot Tables and slicers, along with the ability to automate visualization updates using Macros, can significantly enhance a Data Visualization Specialist’s ability to produce impactful and efficient data displays, especially when Excel is the primary tool.

See salaries and explore the career path for Data Visualization Specialist

Management Consultant

A Management Consultant advises organizations on strategic decisions, operational improvements, and organizational changes, often requiring rigorous data analysis and presentation. This course may be helpful for a Management Consultant, providing robust analytical and presentation skills within Excel. Consultants often need to rapidly analyze client data, build models, and present findings clearly. The course’s emphasis on data preparation, advanced Excel functions, Pivot Tables, and dynamic dashboard creation is highly relevant for quickly understanding business problems and communicating solutions. The statistical analysis techniques covered may also aid in deeper problem assessment. An advanced degree, such as an MBA, is typically required for this role.

See salaries and explore the career path for Management Consultant

Business Intelligence Analyst

A Business Intelligence Analyst collects, analyzes, and presents data to support strategic and operational business decisions. While often leveraging more specialized BI platforms, this course may be useful for a Business Intelligence Analyst by providing a strong foundation in data analysis and visualization using Excel. Learners will develop skills in data preparation, applying a range of Excel functions, and mastering Pivot Tables to extract insights. The course's focus on building dynamic dashboards is directly applicable to creating digestible reports. Furthermore, the automation of tasks with Macros and the application of statistical methods for deeper insights can build a foundational competency that complements the use of other BI tools, enhancing overall analytical capability.

See salaries and explore the career path for Business Intelligence Analyst

Product Manager

A Product Manager leads the strategy, roadmap, and feature definition for a product, relying on data to make informed decisions about product development and market fit. This course may be helpful for a Product Manager, as strong data analysis skills are critical for understanding user behavior, market trends, and product performance. The ability to analyze data using Excel functions, Pivot Tables, and statistical methods, as taught in this course, can help a Product Manager interpret user metrics and feature effectiveness. Creating dynamic dashboards to track key product performance indicators, a skill directly covered by the course, is also invaluable for monitoring product health and communicating insights to engineering and marketing teams.

See salaries and explore the career path for Product Manager

Project Manager

A Project Manager plans, executes, and closes projects, often needing to track progress, manage resources, and analyze budgets and timelines. This course may be helpful for a Project Manager, as it can enhance their ability to analyze project-related data effectively using Excel. Learners will gain proficiency in using Excel functions, Pivot Tables, and data visualization techniques to monitor project performance and identify potential issues. The course’s focus on automating repetitive tasks with Macros can also significantly streamline reporting and administrative aspects of project management, allowing a Project Manager to allocate more time to strategic oversight and team leadership. This course can help build a foundation for data-driven project oversight.

See salaries and explore the career path for Project Manager

Reading list

We've selected 50 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 Business Analytics using Excel.

The Elements of Statistical Learning

Save

Provides a comprehensive overview of modern statistical learning methods. It covers topics such as supervised learning, unsupervised learning, and statistical modeling. It valuable resource for students and researchers in machine learning, data science, and other fields that use statistical methods.

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Kindle Edition

$$$

The Visual Display of Quantitative Information...

Save

This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.

Business Analytics using Excel

Two deals to help you save

What's inside

Syllabus

Save this course

Career center

Reading list

Share

Similar courses

Coursera Buyer Protection & Guarantee

7-Day Free Trial & Free Audit

14-Day Refund Guarantee

Verified Academic & Industry Partner