VOOZH about

URL: https://www.coursera.org/learn/analyze-big-data-analytics-financial-transformation

⇱ Analyze Big Data Analytics for Financial Transformation | Coursera


Analyze Big Data Analytics for Financial Transformation

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Analyze Big Data Analytics for Financial Transformation

Included with

β€’

Learn more

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

January 2026

Assessments

8 assignments

Taught in English

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 – 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

Instructor

EDUCBA
1,591 Coursesβ€’326,930 learners

Explore more from Data Analysis

Why people choose Coursera for their career

πŸ‘ Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
πŸ‘ Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
πŸ‘ Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
πŸ‘ Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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,