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URL: https://www.coursera.org/learn/master-financial-systems-data-analytics

⇱ Master Financial Systems & Data Analytics | Coursera


Master Financial Systems & Data Analytics

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Master Financial Systems & Data Analytics

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Gain insight into a topic and learn the fundamentals.
7 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Evaluate financial systems, AIS, and ERP frameworks.

  • Apply data analytics techniques including regression and visualization.

  • Use analytics insights to support data-driven business decisions.

Details to know

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Recently updated!

April 2026

Assessments

11 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Financial Analysis, Reporting & Decision Making Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Master financial systems and data analytics to drive smarter, technology-enabled business decisions. Learn how to analyze financial data, evaluate systems, and apply analytics for strategic insights.

This course equips learners with the skills to understand and evaluate Accounting Information Systems (AIS), ERP systems, and core business transaction cycles. You will explore governance frameworks such as COSO and COBIT, along with modern technologies including AI, blockchain, cloud computing, and robotic process automation. Through practical modules, the course covers big data concepts, data mining techniques, and analytics models including descriptive, predictive, and prescriptive analysis. You will also learn regression techniques and advanced data visualization methods to transform raw data into meaningful insights. By the end of the course, you will be able to evaluate digital financial systems, apply analytics to real-world scenarios, and support data-driven decision-making in modern organizations. Ideal for finance professionals and aspiring analysts, this course bridges finance, technology, and analytics to prepare you for the evolving digital finance landscape.

This module introduces the foundational structure of Accounting Information Systems (AIS) and explains how core business cycles operate within a digitally integrated enterprise environment. Learners explore revenue, expenditure, production, payroll, PPE, and general ledger cycles while understanding how ERP systems and database management systems centralize financial and non-financial data to enhance decision-making and organizational efficiency.

What's included

6 videos4 assignments

6 videosβ€’Total 47 minutes
  • Introduction to Courseβ€’2 minutes
  • AIS and Revenue Cycleβ€’8 minutes
  • Expense and Production Cycleβ€’9 minutes
  • PPE and GL Cycleβ€’8 minutes
  • ERP and DBMSβ€’11 minutes
  • Data Governance Frameworksβ€’10 minutes
4 assignmentsβ€’Total 60 minutes
  • Accounting Information Systems & Transaction Cyclesβ€’30 minutes
  • Course Overview & AIS Foundationsβ€’10 minutes
  • Operational Cyclesβ€’10 minutes
  • Enterprise Systems & Databasesβ€’10 minutes

This module explores data governance frameworks, internal control systems, and technology-driven financial transformation. Learners examine COSO and COBIT frameworks, the Systems Development Life Cycle (SDLC), business process analysis, and emerging technologies such as RPA, AI, cloud computing, and blockchain to understand how governance, automation, and infrastructure reshape financial systems.

What's included

6 videos4 assignments

6 videosβ€’Total 56 minutes
  • COSO and COBITβ€’11 minutes
  • Data life Cycleβ€’9 minutes
  • Systems Development Life Cycleβ€’12 minutes
  • RPA and AIβ€’10 minutes
  • Cloudβ€’5 minutes
  • Blockchainβ€’10 minutes
4 assignmentsβ€’Total 60 minutes
  • Governance, Control & System Architectureβ€’30 minutes
  • Control Frameworksβ€’10 minutes
  • Systems Developmentβ€’10 minutes
  • Modern Infrastructureβ€’10 minutes

This module focuses on big data, analytics methodologies, and visualization techniques used in financial decision-making. Learners explore big data characteristics, data mining tools, descriptive, diagnostic, predictive, and prescriptive analytics, regression models, exploratory data analysis, and advanced visualization techniques to generate actionable business insights from large datasets.

What's included

5 videos3 assignments

5 videosβ€’Total 50 minutes
  • Big Dataβ€’11 minutes
  • Data Analysisβ€’8 minutes
  • Data Analysis Approachesβ€’11 minutes
  • Exploratory Data Analysisβ€’10 minutes
  • Data Visualizationβ€’12 minutes
3 assignmentsβ€’Total 50 minutes
  • Advanced Data & Analyticsβ€’30 minutes
  • Big Data & Analytical Foundationsβ€’10 minutes
  • Analytical Techniques & Visualizationβ€’10 minutes

Earn a career certificate

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Instructor

EDUCBA
1,591 Coursesβ€’326,930 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,