Certified Financial Analyst + Financial Modelling + Power BI + Python & R
Build practical, industry-oriented skills in financial analysis, financial modelling, business intelligence, data analytics and programming through structured pre-recorded learning and practical projects.
Introductory Offer
Registration details will be shared by our team
Batch Starts 25 September 2026
Build Skills That Connect Finance & Data
A structured learning program designed to introduce practical financial analysis, modelling, business intelligence and programming skills in one integrated curriculum.
Financial Analysis
Learn financial statements, company analysis, ratios, fundamental research and financial report preparation.
Financial Modelling
Develop practical Excel-based financial models, forecasts, valuation models, scenarios and sensitivity analysis.
Power BI
Learn data transformation, modelling, DAX, KPIs and interactive finance and business dashboards.
Python
Learn Python fundamentals, Pandas, NumPy, data cleaning, analysis, visualization and basic financial analytics.
R Programming
Learn R fundamentals, data manipulation, statistics, visualization and financial data analysis.
Practical Projects
Apply concepts through finance, modelling, dashboard and programming-based projects suitable for your portfolio.
What You Will Learn
The curriculum combines finance, modelling, business intelligence and programming skills.
📊 Certified Financial Analyst
- Introduction to Financial Markets
- Stock Market Fundamentals
- Equity Research Fundamentals
- Company & Business Analysis
- Fundamental Analysis
- Income Statement Analysis
- Balance Sheet Analysis
- Cash Flow Statement
- Financial Ratio Analysis
- Industry & Competitor Analysis
- Company Research
- Financial Research Reports
📈 Financial Modelling
- Excel for Finance
- Financial Statement Modelling
- Revenue Forecasting
- Expense Forecasting
- P&L Modelling
- Balance Sheet Forecasting
- Cash Flow Modelling
- Working Capital
- Financial Assumptions & Drivers
- Scenario Analysis
- Sensitivity Analysis
- DCF Valuation
- Comparable Company Analysis
- Model Presentation
📉 Power BI
- Introduction to Power BI
- Data Import
- Power Query
- Data Cleaning
- Data Transformation
- Data Modelling
- Relationships
- DAX Fundamentals
- Measures & Calculations
- Financial KPIs
- Interactive Dashboards
- Business Reporting
- Finance Dashboard Project
🐍 Python for Finance & Analytics
- Python Fundamentals
- Variables & Data Types
- Lists & Dictionaries
- Conditions & Loops
- Functions
- NumPy
- Pandas
- Data Cleaning
- Data Analysis
- Data Visualization
- Financial Data Analysis
- Basic Financial Analytics
- Python Finance Project
📘 R Programming for Finance
- R Programming Fundamentals
- Variables & Data Structures
- Functions
- Data Import
- Data Cleaning
- Data Manipulation
- Basic Statistics
- Data Visualization
- Financial Data Analysis
- Research Data Analysis
- R Finance Project
💼 Integrated Finance Project
- Company Financial Research
- Financial Statement Analysis
- Financial Modelling
- Business Dashboard
- Financial Data Analysis
- Research Documentation
- Presentation Preparation
- Portfolio Project Development
Build Your Finance & Analytics Portfolio
Work on practical project topics that help you apply concepts and demonstrate your skills.
Learn at Your Own Pace
Designed for students and working professionals who need flexibility.
🎥 Pre-Recorded Learning Format
Access structured recorded sessions and learn according to your schedule.
Suitable for students, job seekers and working professionals.
Apply concepts through finance, modelling, dashboard and analytics assignments.
Develop practical projects that can be added to your academic or professional portfolio.
Personal stock-market investment is not mandatory for participation in the learning program.
Opening a personal demat account is not mandatory for this program.
Skills Relevant to Multiple Career Profiles
The program is designed to develop skills commonly used across finance, research, analytics and reporting functions.
Document Your Learning
Certificates and applicable internship documentation are provided according to relevant program requirements and eligibility.
How to Enroll
Follow the simple application process to secure your place in the introductory batch.
Review Program
Read the curriculum, learning format, projects and program terms.
Submit Interest Form
If you are interested, fill out the enquiry form and submit your details for the registration process.
Team Will Contact You
Our team will contact you via email or WhatsApp with the registration process and next steps.
Complete Registration
Complete the registration process with our team and receive further instructions for starting the program.
For any queries or questions, contact us at +91-9986503947.
What This Program Does Not Require
No Sales Targets
The program is focused on learning and practical skill development, not sales or marketing targets.
No Client Acquisition
Participants are not required to acquire clients for company services as part of the learning program.
No Mandatory Investment
Personal stock-market investment is not mandatory for participation in the program.
No Mandatory Demat Account
Participants do not need to open a personal demat account solely to join the program.
Online Learning
Learning resources are provided online through pre-recorded sessions and digital learning materials.
Flexible Learning
Participants can manage their learning schedule around academic, professional or personal commitments.
Frequently Asked Questions
What is the program fee?
The introductory program fee is ₹799 as a one-time payment.
When does the batch start?
The introductory batch is scheduled to start on 25 September 2026.
Are the sessions live or recorded?
The program uses pre-recorded sessions, allowing participants to learn according to their schedule.
Is the program suitable for beginners?
Yes. The curriculum introduces fundamental concepts before progressing toward practical applications.
Do I need a personal demat account?
No. Opening a personal demat account is not mandatory for participating in the program.
Do I have to invest my own money in stocks?
No. Personal stock-market investment is not mandatory for participation in the program.
Are sales or client acquisition targets included?
No. The program is designed around finance and analytics skill development, practical projects and learning.
Will I receive certificates?
Certificates and applicable internship documentation are issued according to relevant program requirements and eligibility.
Is placement guaranteed?
No. The program does not guarantee employment or placement. Career assistance may focus on profile development, project guidance, CV pointers and preparation.
Who can join this program?
Students, freshers, graduates, finance learners, job seekers and working professionals interested in developing finance and analytics skills may apply.
Can I learn at my own pace?
Yes. Since the sessions are pre-recorded, participants can manage their learning schedule based on academic or professional requirements.
Is the ₹799 payment refundable?
Please review the applicable program terms and conditions before completing payment.
Margin Sentiment Advisorys Private Limited
Margin Sentiment Advisorys Private Limited (MSAPL) is a financial services and training organization focused on stock market research, financial analysis, investment education and professional skill development.
The organization’s training initiatives aim to bridge academic learning and industry requirements through practical training, projects and finance-oriented skill development.