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Financial Analytics Course with Placement Assistance

  • 100% Job Guarantee Program
  •  Job Offer Letter From Reputed Company
  • Post Graduate Diploma From The State University Of New York
  • Pan India and International Placement Support
  • No Prior Coding Experience? No Problem!

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Eligibility

College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.

No programming knowledge needed. You will learn from scratch!

Who should sign up?

  • Aspiring Analytics Professionals
    Those aiming to build careers in domain-specific analytics .

  • Graduates seeking careers in analytics and forecasting
    Freshers from IT, business, economics, statistics, life sciences, engineering, or related fields looking to enter analytics roles in their chosen domain.

After Successfully completing the programme you should be able to

Demonstrate Expertise Across Core Analytics Technologies
Master Machine Learning, Deep Learning, Cloud Platforms, Big Data, SQL & NoSQL, BI tools, and DevOps practices tailored for financial analytics.

Deliver High-Impact Financial Analytics Projects
Work on projects involving fraud detection, credit risk modeling, investment forecasting, customer segmentation, and financial performance optimization.

Synopsis of Financial Analytics Course

This program is designed for graduates and professionals eager to leverage Financial  Analytics expertise and earn a valuable PG Diploma from a leading U.S. university. The blended curriculum brings together the best of multiple courses, delivering in-depth knowledge without compromising content quality or quantity.

Participants will experience rigorous, multi-platform training that includes live virtual classes, pre-recorded lectures, interactive chat support, expert mentoring, domain-specific projects (end-to-end capstone and mini projects in marketing analytics), pre-assessments, post-assessments, quizzes, and more.

The program is ideal for both fresh graduates and working professionals seeking to accelerate their careers in  data analysis, campaign optimization, customer insights, and ROI-driven decision-making through the power of analytics.

Curriculum of Financial Analytics Course

Chart Your Career with Industry Specific blended Core Modules Designed for Expanding Job Roles

Foundations of Financial Analytics

Goal: Understand the financial domain and its data landscape.
Topics:

  • Overview of financial services (banking, insurance, investments, fintech)

  • Types of financial data: transactions, market data, customer profiles, credit histories

  • Introduction to Python for financial analytics

  • Basics of SQL & NoSQL for financial datasets

  • Key financial KPIs: ROI, NPV, IRR, liquidity ratios, risk metrics

Financial Data Management & Integration

Goal: Learn to gather, clean, and manage financial datasets.
Topics:

  • ETL/ELT processes for financial data

  • Integrating data from ERP systems, market feeds, APIs, and customer databases

  • Handling structured & unstructured data (reports, documents, news feeds)

  • Cloud storage & security compliance (GDPR, PCI-DSS)

Statistical & Predictive Analytics in Finance

Goal: Apply statistics for decision-making and forecasting.
Topics:

  • Descriptive & inferential statistics for finance

  • Time series forecasting for stock prices, interest rates, and cash flows

  • Risk modeling & portfolio optimization

  • Scenario analysis and stress testing

Machine Learning for Financial Applications

Goal: Build ML models for risk, fraud, and investment insights.
Topics:

  • Fraud detection models using supervised learning

  • Credit scoring & risk assessment models

  • Algorithmic trading strategies

  • Customer segmentation & product personalization

  • Sentiment analysis on market news and reports

Visualization, BI & Reporting

Goal: Present financial insights clearly and effectively.
Topics:

  • Power BI/Tableau dashboards for financial KPIs

  • Regulatory and compliance reporting

  • Real-time market dashboards

  • Data storytelling for executives and investors

Capstone Project & Career Preparation

  • End-to-end business analytics project

  • Real-world case studies with domain context

  • Resume building, mock interviews

  • Analytics roles & career path support

Industry Projects in collaboration with AISPRY

AISPRY provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. Fuzen IT in collaboration with AISPRY offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.

Programming Languages & Tools Covered

tableau
python
powerbi
excel
jupyter
matplotlib

Our Alumni Work At

FAQs

The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.

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