Excel is a powerful and widely used spreadsheet software developed by Microsoft. It allows users to organize, analyze, and manipulate data using rows and columns in a grid format. Excel is primarily used for numerical data analysis, financial calculations, data visualization, and various other tasks. Whether you're a student, business professional, researcher, or just someone who wants to keep track of their personal finances, Excel can be an invaluable tool.
Historyof Excel:
Microsoft Excel is a widely used spreadsheet application developed by Microsoft Corporation.
Early Beginnings (1982): The history of Excel can be traced back to the early 1980s when Microsoft began developing a spreadsheet application for the Apple Macintosh. This initial version was known as "Multiplan."
Excel for Windows (1985): In 1985, Microsoft released the first version of Excel for Windows, which was named "Excel 2.0." This marked Excel's entry into the Windows platform and laid the foundation for its future success.
Graphical User Interface (GUI): Excel's adoption of a graphical user interface (GUI) made it more user-friendly and accessible. It allowed users to create, edit, and format spreadsheets with ease.
Excel 3.0 (1990): The release of Excel 3.0 introduced many new features, including the ability to work with multiple sheets within a single workbook, improved charting capabilities, and enhanced calculation functions.
Excel 5.0 and Office Suite Integration (1993): Excel 5.0, part of the Microsoft Office suite, improved integration with other Office applications like Word and PowerPoint. This integration made it easier for users to collaborate and share data across different documents.
Excel 97 (1997): Excel 97 introduced significant enhancements, including improved automation through Visual Basic for Applications (VBA), which allowed users to write custom macros to automate tasks. It also introduced pivot tables, a powerful tool for data analysis.
Excel 2000 and Beyond: Subsequent versions of Excel, such as Excel 2000, 2003, 2007, 2010, and so on, continued to add new features and capabilities. These versions introduced features like conditional formatting, data validation, Excel tables, and enhanced charting tools.
Excel Online and Office 365 (2013): With the advent of cloud computing, Microsoft introduced Excel Online, a web-based version of Excel that allowed users to access and edit their spreadsheets in a web browser. Excel became a part of the Office 365 suite, enabling users to collaborate on documents in real-time.
Excel 2016, 2019, and Excel for Microsoft 365: These versions continued to build on Excel's capabilities with features such as improved data analysis tools, integration with Power BI for advanced data visualization, and enhanced collaboration and sharing options.
Excel Today: Excel remains one of the most popular spreadsheet applications globally. It is used for a wide range of tasks, from basic data entry to complex financial modeling, data analysis, and reporting. Excel's extensive library of functions and formulas, combined with its user-friendly interface, makes it a versatile tool for businesses, educators, researchers, and individuals.
Throughout its history, Microsoft Excel has played a crucial role in the world of data analysis, finance, and business, and it continues to evolve to meet the changing needs of its users.
Business Data Analytics
Table of contents
Syllabus
-
1.0
Introduction to Excel
- Microsoft excel key features
- Spreadsheet Interface
- Excel Formulas and Functions
- Data Analysis Tools
- keyboard shortcuts in Excel
- Conducting data analysis using data tables, pivot tables and other common functions
- Improving Financial Models with Advanced Formulas and Functions
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2.0
Introduction to data analytics
-
3.0
Core application of data analytics
- Financial Accounting And Reporting
- Statement of Profit or Loss
- Statement of Financial Position
- Statement of Cash Flows
- Common Size Financial Statement
- Cross-Sectional Analysis
- Trend Analysis
- Analyse financial statements using ratios
- Graphs and Chats
- Prepare forecast financial statements under specified assumptions
- Carry out sensitivity analysis and scenario analysis on the forecast financial statements
- Data visualization and dash boards for reporting
- Financial Management
- Time value of money analysis for different types of cash flows
- Loan amortization schedules
- Project evaluation techniques using net present value - (NPV), internal rate of return (IRR)
- Carry out sensitivity analysis and scenario analysis in project evaluation
- Data visualisation and dashboards in financial management projects
4.0
Application of data analytics in specialised areas
- Management accounting
- Estimate cost of products (goods and services) using high-low and regression analysis method
- Estimate price, revenue and profit margins
- Carry out break-even analysis
- Budget preparation and analysis (including variances)
- Carry out sensitivity analysis and scenario analysis and prepare flexible budgets
- Auditing
- Analysis of trends in key financial statements components
- Carry out 3-way order matching
- Fraud detection
- Test controls (specifically segregation of duties) by identifying combinations of users involved in processing transactions
- Carry out audit sampling from large data set
- Model review and validation issues
- Taxation and public financial management
- Compute tax payable for individuals and companies
- Prepare wear and tear deduction schedules
- Analyse public sector financial statements using analytical tools
- Budget preparation and analysis (including variances)
- Analysis of both public debt and revenue in both county and national government
- Data visualisation and reporting in the public sector
5.0
Emerging issues in data analytics