Analyze Big Data Analytics for Financial Transformation
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Analyze Big Data Analytics for Financial Transformation
Instructor: EDUCBA
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What you'll learn
Understand big data concepts and their impact on financial services.
Analyze how analytics drives transformation in banking, risk, and fraud detection.
Evaluate analytics tools, trends, and ethical considerations in financial environments.
Skills you'll gain
- Accounting and Finance Software
- Program Implementation
- Financial Services
- Financial Analysis
- Business Analytics
- Customer experience improvement
- Case Studies
- Data-Driven Decision-Making
- Analytics
- Trend Analysis
- Data Ethics
- Business Ethics
- Banking
- Big Data
- Financial Data
- Data Visualization Software
- Law, Regulation, and Compliance
Tools you'll learn
Details to know
January 2026
8 assignments
See how employees at top companies are mastering in-demand skills
There are 2 modules in this course
By completing this course, learners will be able to analyze big data concepts, evaluate analytics-driven financial transformations, apply industry tools, and assess ethical and regulatory considerations in modern financial environments.
This course provides a comprehensive and practical understanding of how big data analytics is reshaping the financial services industry. Learners explore foundational data concepts, the characteristics and complexity of big data, and the strategic role analytics plays in transforming banking, risk management, fraud detection, and customer-centric financial services. Through real-world case studies, current trends, and future-focused discussions, learners gain insight into how data-driven decision-making delivers competitive advantage. What makes this course unique is its balanced integration of strategy, technology, and responsibility. Learners are introduced to leading analytics tools such as Tableau and SAP while also developing a strong awareness of regulatory and ethical considerations critical to financial analytics. Designed for both aspiring and working professionals, the course bridges theory and practice, enabling learners to confidently interpret analytics outcomes, support informed financial decisions, and contribute to data-driven transformation initiatives across financial organizations.
This module introduces the fundamental concepts of data and big data analytics, explores regulatory and complexity challenges, and examines how big data is transforming modern financial services and decision-making.
What's included
9 videos4 assignments
9 videosβ’Total 65 minutes
- Introduction to Courseβ’3 minutes
- Dataβ’8 minutes
- Big Dataβ’9 minutes
- Case Studyβ’6 minutes
- Objectives and Regulationsβ’11 minutes
- Complexity and Revolutionβ’9 minutes
- Transforming Financial Servicesβ’7 minutes
- Trends, Challenges, Futureβ’7 minutes
- Current, Future, Challengesβ’6 minutes
4 assignmentsβ’Total 60 minutes
- Foundations of Big Data & Financial Transformationβ’30 minutes
- Understanding Data & Big Data Basicsβ’10 minutes
- Big Data in Action β Concepts & Contextβ’10 minutes
- Financial Services in the Data-Driven Eraβ’10 minutes
This module focuses on practical applications of big data analytics, explores industry trends and implementation challenges, assesses business impact, and introduces analytics tools along with ethical and regulatory considerations.
What's included
9 videos4 assignments
9 videosβ’Total 71 minutes
- Trends in BD Analyticsβ’9 minutes
- Current Trendsβ’5 minutes
- Application and Case Studyβ’8 minutes
- Challenges in Implementationβ’8 minutes
- Impact of BD on Fin Servcesβ’7 minutes
- Impact of BD Analyticsβ’10 minutes
- Big Data using Tableauβ’7 minutes
- Regulatory and Ethical considβ’8 minutes
- BD using SAPβ’10 minutes
4 assignmentsβ’Total 60 minutes
- Big Data Analytics Applications, Impact & Toolsβ’30 minutes
- Trends & Applications of Big Data Analyticsβ’10 minutes
- Challenges, Impact & Value Creationβ’10 minutes
- Tools, Technology & Responsible Analyticsβ’10 minutes
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- Status: PreviewU
University of Illinois Urbana-Champaign
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- Status: Free Trial
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- Status: Free Trial
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