Course Outline
AI Foundations in the Financial Sector
- Survey of AI applications in finance (fraud detection, algorithmic trading, risk assessment)
- Core principles of data analytics and categories of financial data
- Ethical implications and regulatory compliance for AI adoption
- Configuring Python/R environments for financial data analytics
Acquiring and Preparing Financial Data
- Key data sources in the financial sector (stock feeds, market indices, customer records)
- Techniques for data cleaning, normalization, and transformation
- Feature engineering to optimize analytical outcomes
- Preparing a financial dataset for in-depth analysis
Machine Learning Applications in Finance
- Supervised learning methods (linear regression, decision trees, random forest)
- Unsupervised learning for anomaly detection (k-means clustering, DBSCAN)
- Case study: Evaluating credit scoring models and risk management strategies
- Constructing a supervised model for stock price prediction
Advanced AI Methods and Model Refinement
- Deep learning architectures for financial data (LSTM for time-series forecasting)
- Foundations of reinforcement learning for optimizing trading strategies
- Strategies for hyperparameter tuning and model validation
- Applying LSTM networks to financial time-series data
Visualizing, Interpreting, and Communicating Results
- Best practices for data visualization using tools like Matplotlib, Seaborn, and Tableau
- Translating model outputs into actionable business insights
- Drafting comprehensive reports for key stakeholders
- Executing and presenting a complete AI workflow for financial data
Recap and Future Directions
Requirements
- Fundamental proficiency in Python/R programming
- Familiarity with financial terminology and basic statistical concepts
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
