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Course Outline
Introduction to AI in the Financial Sector
- Overview of AI applications in finance (fraud detection, algorithmic trading, risk assessment)
- Introduction to data analysis principles and types of financial data
- Ethical considerations and regulatory compliance in AI implementation
- Setting up Python/R environment for financial data analysis
Data Collection and Preprocessing
- Data sources in the financial sector (stock data, market indices, customer data)
- Data cleaning, normalization, and transformation techniques
- Feature engineering for enhanced data analysis
- Preprocessing a financial dataset for analysis
Machine Learning Algorithms for Financial Data
- Supervised learning algorithms (linear regression, decision trees, random forest)
- Unsupervised learning for anomaly detection (k-means clustering, DBSCAN)
- Case study analysis: Credit scoring models and risk management
- Building a supervised model for predicting stock prices
Advanced AI Techniques and Model Optimization
- Deep learning models for financial data (LSTM for time-series forecasting)
- Introduction to reinforcement learning for decision-making in trading strategies
- Hyperparameter tuning and model validation
- Implementing LSTM for financial time-series data
Visualization, Interpretation, and Reporting
- Data visualization best practices using libraries (Matplotlib, Seaborn, Tableau)
- Interpreting model outputs for business insights
- Creating comprehensive reports for stakeholders
- Analyze and present financial data using a complete AI workflow
Summary and Next Steps
Requirements
- Basic knowledge of Python/R programming
- Understanding of financial terminology and basic statistics
Audience
- Financial analysts
- Data scientists
- Risk managers
28 Hours
Testimonials (3)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
The instructor's ability to explain clearly and their robust knowledge
JOSE FERNANDO MELO - MCGRAW-HILL INTERAMERICANA
Course - Alteryx Advanced
Machine Translated
The practical exercises, the course order, and the explanations were clear.
Cristina Morales - SOFI de Chihuahua SA de CV
Course - Alteryx for Data Analysis
Machine Translated
