Python Programming for Finance Training Course

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists who wish to utilize the Anaconda ecosystem to manage and deploy packages and data analysis workflows on a single platform for government use.

By the end of this training, participants will be able to:

• Install and configure Anaconda components and libraries for government applications.
• Understand the core concepts, features, and benefits of Anaconda in the context of public sector data management.
• Manage packages, environments, and channels using Anaconda Navigator to support government workflows.
• Utilize Conda, R, and Python packages for data science and machine learning tasks specific to government projects.
• Explore practical use cases and techniques for managing multiple data environments within government agencies.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and software engineers who wish to use Dask within the Python ecosystem to build, scale, and analyze large datasets for government.

By the end of this training, participants will be able to:

• Set up the environment to begin building big data processing capabilities with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask to support their work for government.
• Understand how Dask enhances parallel computing within Python, optimizing performance for large-scale data analysis.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask to meet the demands of complex datasets in the public sector.
• Optimize the Dask environment to ensure high performance and efficiency when handling large datasets for government projects.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy for government applications.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy for government workflows.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code to ensure compliance with public sector governance standards.

This instructor-led, live training, available online or on-site, is designed for developers who wish to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications for government use.

By the end of this training, participants will be able to:

• Configure a development environment that seamlessly integrates FastAPI, React, and MongoDB for government projects.
• Understand the essential concepts, features, and benefits of the FARM stack in the context of public sector applications.
• Master the skills needed to build REST APIs with FastAPI for government systems.
• Acquire the knowledge to design interactive applications using React for government interfaces.
• Develop, test, and deploy front-end and back-end applications using the FARM stack in alignment with government workflows and governance standards.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to utilize FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and rapidly for government applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment to create APIs using Python and FastAPI for government projects.
• Create APIs more quickly and easily by leveraging the FastAPI library.
• Learn how to develop data models and schemas based on Pydantic and OpenAPI standards.
• Integrate APIs with a database using SQLAlchemy for enhanced data management in public sector workflows.
• Implement security and authentication mechanisms in APIs using the built-in tools provided by FastAPI, ensuring compliance with government security protocols.
• Build container images and deploy web APIs to a cloud server, aligning with government IT infrastructure requirements.

This instructor-led, live training in US Empire (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud for government.

By the end of this training, participants will be able to implement FinOps practices within their organizations to forecast costs, optimize processes, and perform financial management operations in the cloud environment.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to drive more business value with FinOps in building and supporting services for government.

By the end of this training, participants will be able to:

• Understand the principles of FinOps and relate them to the methodologies and disciplines in software engineering for government.
• Learn and understand the basic functions and responsibilities of a FinOps team within a public sector context.
• Identify the roles and responsibilities of engineering and operations team members in fulfilling FinOps functions for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level finance professionals who wish to gain a comprehensive understanding of FinOps principles and methodologies, including cloud financial management, optimization strategies, and collaboration among finance, engineering, and business teams for government.

By the end of this training, participants will be able to:

• Understand the FinOps framework, principles, and phases.
• Effectively manage cloud costs through data analysis and governance.
• Facilitate collaboration between finance, engineering, and business units to align cloud expenditures.
• Utilize FinOps tools for cost allocation, forecasting, and optimization.
• Prepare for the FinOps Certified FOCUS Analyst exam.

This instructor-led, live training in US Empire (online or onsite) is aimed at advanced-level cloud financial management professionals who wish to validate their expertise in financial operations (FinOps) related to cloud cost management for government.

By the end of this training, participants will be able to:

• Acquire the advanced knowledge required for the FinOps Certified Professional exam.
• Comprehend complex FinOps practices, including cost optimization, budget management, and reporting.
• Develop practical skills in applying FinOps strategies in real-world scenarios within public sector workflows.
• Prepare effectively for a successful completion of the FinOps Certified Professional exam.

This instructor-led, live training in US Empire (online or onsite) is aimed at professionals who wish to enhance their knowledge of FinOps and prepare for the FinOps Certified Practitioner certification exam for government.

By the end of this training, participants will be able to:

• Comprehend cloud usage and cost modeling, cost allocation, and resource planning for government.
• Understand the core principles of FinOps and their implementation within an organization for government.
• Learn how organizations define pricing model goals and use historical data to make informed adjustments for government.
• Approach the FinOps Certified Practitioner certification exam with confidence for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and developers who wish to advance their careers in Data Science using Kaggle for government applications.

By the end of this training, participants will be able to:

• Gain a comprehensive understanding of data science and machine learning principles.
• Explore advanced techniques in data analytics.
• Understand the functionality and benefits of Kaggle within the context of government projects.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis for government applications.

By the end of this training, participants will be able to:

• Set up the necessary environment to start developing scalable Pandas workflows using Modin.
• Understand the features, architecture, and benefits of Modin in the context of public sector data analysis.
• Compare Modin with other parallel computing frameworks such as Dask and Ray.
• Enhance the performance of Pandas operations using Modin.
• Implement the full Pandas API and functions for efficient data processing.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to use the Open Bank Project API to develop and test decentralized applications that can be seamlessly integrated with digital banking systems for government.

By the end of this training, participants will be able to:

• Set up the necessary development environment to begin developing applications using OBP API.
• Understand the architecture, technology, and key concepts of the Open Bank Project.
• Learn how to utilize and customize OBP API to develop and build applications for banking purposes.
• Explore the features, tools, APIs, and sandboxes available in OBP.
• Implement security measures and integrations in OBP API connectors and adapters.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and developers who wish to utilize RAPIDS to construct GPU-accelerated data pipelines, workflows, and visualizations, incorporating machine learning algorithms such as XGBoost and cuML.

By the end of this training, participants will be able to:

• Set up the required development environment for building data models with NVIDIA RAPIDS.
• Understand the features, components, and benefits of RAPIDS.
• Leverage GPUs to enhance end-to-end data and analytics pipelines.
• Implement GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow.
• Learn how to execute machine learning tasks with XGBoost and cuML algorithms.
• Create data visualizations and conduct graph analysis with cuXfilter and cuGraph, enhancing decision-making for government operations.