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Interests
  • Accounting information systems (AIS)
  • Auditing
  • Business process analysis
  • Data analytics
  • more...
This Year
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Total
1008 Points
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Coursework

  • Learn Data Analysis with Online Courses | edXFinancial Accounting
    • Learned basic concepts and principles underlying the preparation and use of financial statements. Among the topics covered are basic accounting theory, transactional analysis, income determination, asset and liability valuation, and the preparation of financial statements.
  • Managerial Accounting
    • Mastered the concepts related to the manager’s role in making business decisions using accounting data including cost classification, behavior, and allocation, cost-volume-profit analysis, operating and capital budgeting, variance analysis, performance evaluation and responsibility accounting.
  • Digital Systems
    • Learned the role of information systems and digital platforms in business and how digital products are conceived, designed, secured and deployed. Understood component-based software architectures and APIs. Built simple software applications.
  • Web Application Development
    • Created web-based applications that carry out a business process andAudits | Accounting | Bookkeeping | Financial Statements | Santora CPA integrate web-based services. Learned loops, arrays, conditional statements, data validation, responsive web design, and making API calls.
  • Data and Analytics
    • Navigated and queried relational and NoSQL databases to support applications. Combined multiple sources of data using extract, transform, load for data cleansing. Discovered insights from data using analytics software.
  • Statistical Business Analytics
    • Became Familiarized with fundamentals of data description, data analysis, and graphical methods with applications toArtificial intelligence and the future of programming business problems. Topics included random variables, discrete and continuous distributions, estimation of parameters, and hypothesis testing through the use of Excel.
  • Introduction to Programming (in Python)
    • Learned the fundamentals of structured, modular, and object-oriented programming as well as important design principles and software development techniques such as unit testing and revision control. Developed computational solutions to real-world problems from a variety of disciplines.

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