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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 in a public sector context
- Use case examples: risk modeling, financial reporting, and audit logs for government
Getting Started with Databricks Notebooks for Government
- Creating and navigating notebooks within the governmental framework
- Utilizing Python and SQL in Databricks for government data analysis
- Collaborating with comments and version history to enhance team efficiency for government
Data Ingestion and Cleaning for Government
- Importing financial data from CSV, databases, and APIs for government use
- Using Spark DataFrames for cleaning and preparation in a public sector environment
- Handling missing values and outliers to ensure data integrity for government
Transforming and Aggregating Financial Data for Government
- Calculating key performance indicators (KPIs) and financial ratios for government reporting
- Filtering, grouping, and pivoting datasets to meet public sector requirements
- Time series manipulation and resampling for accurate financial insights in government
Visualizing Financial Insights for Government
- Creating dashboards with Databricks visual tools tailored for government needs
- Customizing charts to support finance reporting in the public sector
- Exporting visuals for presentations or regulatory review within governmental contexts
Optimizing Queries and Using Delta Lake for Government
- Introduction to Delta Lake architecture for government data management
- Ensuring ACID transactions and data reliability in a public sector environment
- Improving performance with data partitioning for efficient governmental operations
Collaboration, Scheduling, and Sharing for Government
- Managing access and permissions for finance teams within the government
- Scheduling jobs for automated reporting to streamline public sector workflows
- Exporting data and results securely to maintain compliance with governmental standards
Summary and Next Steps for Government
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
