Course Outline
Introduction to AI in Finance
- Overview of AI applications in finance, including fraud detection, algorithmic trading, and risk assessment
- Principles of data analysis and types of financial data
- Ethical considerations and regulatory compliance in AI deployment
- Setting up Python/R environments for financial data analysis
Data Collection and Preprocessing
- Data sources in the financial sector, such as stock data, market indices, and customer data
- Techniques for data cleaning, normalization, and transformation
- Feature engineering to enhance analytical outcomes
- Preprocessing financial datasets for analysis
Machine Learning Algorithms for Financial Data
- Supervised learning algorithms, including linear regression, decision trees, and random forests
- Unsupervised learning for anomaly detection, such as k-means clustering and DBSCAN
- Case study analysis: Credit scoring models and risk management
- Constructing a supervised model for stock price prediction
Advanced AI Techniques and Model Optimization
- Deep learning models for financial data, focusing on LSTM for time-series forecasting
- Introduction to reinforcement learning for trading strategy decision-making
- Hyperparameter tuning and model validation techniques
- Implementing LSTM for financial time-series data
Visualization, Interpretation, and Reporting
- Best practices for data visualization using libraries such as Matplotlib, Seaborn, and Tableau
- Interpreting model outputs to derive business insights
- Drafting comprehensive reports for stakeholders
- Analyzing and presenting financial data through a complete AI workflow
Summary and Next Steps
Requirements
- Foundational knowledge of Python/R programming
- Understanding of financial terminology and basic statistics
Audience
- Financial analysts
- Data scientists
- Risk managers
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
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises
