Financial Data Analysis

What Will You Learn?

• Day 1: Introduction to Financial Data Analysis
• Role of Data Analysis in Finance
• Types of Financial Data: Time Series, Cross-Sectional, and Panel Data
• Overview of Data Sources and Collection Methods
• Excel for Financial Data Analysis: Functions and Tools
• Day 2: Exploratory Data Analysis (EDA) for Finance
• Descriptive Statistics and Data Summarization
• Data Cleaning and Preprocessing
• Data Visualization Techniques
• Interpreting Histograms, Box Plots, and Scatter Plots
• Day 3: Time Series Analysis
• Understanding Time Series Data
• Time Series Decomposition
• Forecasting Techniques: Moving Averages, Exponential Smoothing, and ARIMA Models
• Analyzing Seasonality and Trends
• Day 4: Predictive Modeling for Financial Decision-Making
• Regression Analysis in Finance
• Predictive Modeling Techniques
• Model Evaluation and Validation
• Machine Learning Applications in Finance
• Day 5: Financial Reporting and Visualization
• Designing Financial Dashboards
• Data Visualization Tools: Tableau, Power BI, etc.
• Interpretation and Communication of Analytical Results
• Final Project: Applying Financial Data Analysis in a Real-world Scenario