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Course Outline
Introduction to Databricks and Financial Use Cases for Government
- Understanding the Databricks ecosystem for government
- Overview of financial data analysis workflows for government agencies
- Use case examples: risk modeling, financial reporting, audit logs for government operations
Getting Started with Databricks Notebooks for Government
- Creating and navigating notebooks for government use
- Using Python and SQL in Databricks for government data analysis
- Collaborating with comments and version history for enhanced team collaboration in government settings
Data Ingestion and Cleaning for Government Financial Data
- Importing financial data from CSV, databases, and APIs for government use
- Using Spark DataFrames for cleaning and preparation of government financial datasets
- Handling missing values and outliers in government financial data
Transforming and Aggregating Financial Data for Government Analysis
- Calculating key performance indicators (KPIs) and financial ratios for government reporting
- Filtering, grouping, and pivoting datasets to meet government requirements
- Time series manipulation and resampling for enhanced financial insights in government contexts
Visualizing Financial Insights for Government Decision-Making
- Creating dashboards with Databricks visual tools for government stakeholders
- Customizing charts to meet the specific needs of finance reporting for government agencies
- Exporting visuals for presentations or regulatory review in government settings
Optimizing Queries and Using Delta Lake for Government Data Management
- Introduction to Delta Lake architecture for government data storage
- ACID transactions and data reliability for secure government operations
- Improving performance with data partitioning for efficient government data processing
Collaboration, Scheduling, and Sharing in Government Financial Workflows
- Managing access and permissions for finance teams within government agencies
- Scheduling jobs for automated reporting to streamline government processes
- Exporting data and results securely for government compliance and audit requirements
Summary and Next Steps for Government Implementation
Requirements
- An understanding of data analysis concepts for government
- Experience with Python or SQL
- Familiarity with financial data types and reporting
Audience
- Financial analysts and business intelligence professionals in the public sector
- Data analysts working in government finance departments
- Data engineers supporting financial teams within government agencies
14 Hours
