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Financial Data Analysis
YOUR PATHWAY TO SUCCESS
The Financial Data Analysis course provides essential skills in analyzing financial statements, market data, and economic indicators.
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Course Duration
5 Days
Course Details
The Financial Data Analysis course provides essential skills in analyzing financial statements, market data, and economic indicators. With data-driven decision-making becoming critical in the banking sector, financial professionals must leverage analytical tools to interpret trends and make strategic decisions.
This five-day course covers key financial metrics, statistical analysis, and tools like Excel, Python, and R for financial analysis. Participants will gain practical insights into investment evaluation, risk assessment, and financial modeling.
By the end of this course, learners will be able to:
- Understand financial data structures and sources.
- Perform financial statement analysis and ratio calculations.
- Use statistical methods to interpret financial data.
- Apply Excel, Python, and R for financial modeling.
- Conduct market and economic data analysis.
- Use financial analytics for risk assessment.
- Develop data-driven investment strategies.
- Identify trends and patterns in financial markets.
- Financial analysts and investment professionals
- Risk and compliance officers
- Data analysts and business intelligence professionals
- Banking and finance professionals
- Researchers and academics in finance
Course Outline
5 days Course
Introduction to Financial Data Analysis
- Sources and types of financial data
- Key financial metrics and ratios
- Case study: Interpreting financial statements
Statistical Methods for Financial Analysis
- Descriptive statistics and probability distributions
- Time-series analysis in financial data
- Practical exercise: Performing data analysis in Excel
Financial Modeling Techniques
- Discounted cash flow (DCF) modeling
- Scenario analysis and sensitivity testing
- Practical exercise: Building a financial model in Python
Market Data and Economic Indicators
- Stock market trends and macroeconomic data analysis
- Predictive modeling for financial decision-making
- Case study: Market risk analysis using historical data
Market Data and Economic Indicators
- Stock market trends and macroeconomic data analysis
- Predictive modeling for financial decision-making
- Case study: Market risk analysis using historical data
