Master Financial Systems & Data Analytics
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Master Financial Systems & Data Analytics
This course is part of Financial Analysis, Reporting & Decision Making Specialization
Instructor: EDUCBA
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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.
Skills you'll gain
- Business Systems
- Predictive Analytics
- Interactive Data Visualization
- Analytics
- Governance Risk Management and Compliance
- Financial Data
- Big Data
- Data Mining
- Advanced Analytics
- Financial Systems
- Governance
- Data-Driven Decision-Making
- Accounting Systems
- Enterprise Resource Planning
- Data Visualization
- Statistical Visualization
- Digital Analysis
- Financial Analysis
- Data Governance
Tools you'll learn
Details to know
April 2026
11 assignments
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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
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