Data Analysis with Databricks for Finance Training Course

Introduction to Databricks and Applications in Finance

• Exploring the Databricks ecosystem
• Reviewing workflows for financial data analysis
• Case studies: risk modeling, financial reporting, and audit logging

Initiating Work with Databricks Notebooks

• Developing and navigating through notebooks
• Applying Python and SQL within Databricks
• Enhancing collaboration through comments and version control

Data Ingestion and Cleansing

• Importing financial data from CSV files, databases, and APIs
• Leveraging Spark DataFrames for data cleaning and preparation
• Managing missing values and outliers effectively

Transformation and Aggregation of Financial Data

• Computing KPIs and financial ratios
• Filtering, grouping, and pivoting datasets for analysis
• Manipulating and resampling time series data

Visualizing Financial Insights

• Building dashboards using Databricks visual tools
• Tailoring charts for financial reporting needs
• Exporting visuals for presentations or regulatory compliance

Query Optimization and Leveraging Delta Lake

• Fundamentals of Delta Lake architecture
• Ensuring data reliability through ACID transactions
• Enhancing performance via data partitioning

Collaboration, Scheduling, and Data Sharing

• Administering access controls and permissions for finance teams
• Automating reporting by scheduling jobs
• Securely exporting data and analytical results

Wrap-up and Future Directions