Course Outline
Fundamentals of AI in Finance
- Overview of AI applications in banking (fraud detection, algorithmic trading, risk assessment)
- Core principles of data analysis and categories of financial data
- Ethical implications and regulatory compliance in AI deployment
- Configuring Python or R environments for financial data analysis
Data Acquisition and Preparation
- Identifying data sources in finance (equity data, market indices, client information)
- Techniques for data cleansing, normalization, and transformation
- Feature engineering to optimize analytical outcomes
- Preprocessing financial datasets for detailed analysis
Machine Learning Approaches for Financial Data
- Supervised learning methods (linear regression, decision trees, random forests)
- Unsupervised learning for anomaly detection (k-means clustering, DBSCAN)
- Case study examination: Credit scoring models and risk mitigation
- Developing a supervised model for stock price prediction
Advanced AI Methods and Model Refinement
- Deep learning architectures for finance (LSTM for time-series forecasting)
- Basics of reinforcement learning for trading strategy optimization
- Hyperparameter adjustment and model validation
- Implementing LSTM models for financial time-series analysis
Visualization, Analysis, and Reporting
- Best practices for data visualization using libraries such as Matplotlib, Seaborn, and Tableau
- Interpreting model results to generate business value
- Preparing comprehensive reports for stakeholders
- Analyzing and presenting financial data through a complete AI workflow
Conclusion and Future Pathways
Requirements
- Familiarity with Python or R programming
- Grasp of financial terminology and foundational statistics
Target 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
