Professional Program in Financial Modeling Using Analytics
Duration: 12 month
Financial modeling is a key skill for making large and complex financial decisions. It is used widely across investment banking, equity/credit research and sales.
Finance Industry is looking to hire people who
- Can create dynamic financial models
Who should do this course?
- Anyone interested in finance
- Want to work in Finance sector
What you learn
- Specialized knowledge
- Problem Solving
- Cost of capital and uses Essential economics
- Investment banking operations
Specialized skills
- Profile building
- Aptitude skills Communication Interview skills CV writing
Course Curriculum
Module 1 Problem Solving in Excel
- Problem identification & solving approach
- Descriptive statistics
- Excel basics
- Excel functions & Financial Math
- Excel visualization
- Storytelling with data
Learning Outcome
Know what types of business problems can emerge
› Break-down a problem to component parts
› Collect data and describe the problem
› Compute and present a solution
Module 2 Financial Statement Analysis
- Introduction to FSA
- Income statements
- Balance sheet
- Cash flow
- Ratio analysis
Learning Outcomes
- Attribute transactions
- Create an Income statement, a Balance Sheet and a Cash Flow statement
- Calculate ratios from Financial Statements
- Interpret ratios
Module 3 Corporate Finance
- Time Value of Money and IRR
- Cost of Capital
- Sources and used of Capital
- Build your first model
Learning Outcomes
Understand what metrics are required to take financial decisions
- Evaluate a financial opportunity
- Make a project finance model
Module 4 Equity Modeling
- Introduction to valuation
- Souring historical data
- Forecasting costs and revenues
- Forecasting BS and CFS
- DCF & Relative valuation
Module 5 – Risk Management
- Risk management practices
- Compliance and regulatory reporting
- Clearing process
- Settlement process
- Investor grievances and arbitration
- Other services provided by brokers
Module 6 Power BI
- Business Intelligence (BI) Concepts
- Microsoft Power BI (MSPBI) Introduction
- Connecting Power BI with Different Data Sources
- Power Query for Data Transformation
- Data Modelling in Power BI
- Reports in Power BI
- Reports & Visualization Types in Power BI
- Dashboards in Power BI
Module 7 R program
- R Introduction
- R Basics
- R Statements
- R Loops
- R Functions
- R Data Structures
- R Functions
- R Advance
- Data Interfaces
- Data Visualization
- R Regression
- R Statistics