Python Programming for Finance Training Course

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

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

• Install and configure Anaconda components and libraries.
• Understand the core concepts, features, and benefits of Anaconda.
• Manage packages, environments, and channels using Anaconda Navigator.
• Use Conda, R, and Python packages for data science and machine learning.
• Get to know some practical use cases and techniques for managing multiple data environments.

This instructor-led, live training in Serbia (online or onsite) is tailored for data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

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

• Configure the environment to begin developing big data processing solutions with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Gain an understanding of how Dask accelerates parallel computing in Python.
• Learn techniques for scaling the Python ecosystem (including Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to ensure high performance when handling large datasets.

This instructor-led, live training in Serbia (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.

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.
• 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.

This instructor-led, live training (available online or onsite) targets developers who want to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications.

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

• Configure the necessary development environment integrating FastAPI, React, and MongoDB.
• Comprehend the key concepts, features, and benefits of the FARM stack.
• Build REST APIs using FastAPI.
• Design interactive applications with React.
• Develop, test, and deploy applications (both front end and back end) using the FARM stack.

This instructor-led live training in Serbia (online or onsite) is intended for developers who want to use FastAPI with Python to build, test, and deploy RESTful APIs with greater speed and ease.

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

• Set up the required development environment to build APIs with Python and FastAPI.
• Create APIs faster and more easily using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

This instructor-led live training in Serbia (online or onsite) is designed for 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.

By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.

This instructor-led, live training session (available online or onsite) is designed for engineers aiming to enhance business value through FinOps practices in the development and support of organizational services.

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

• Understand the foundational principles of FinOps and relate them to software engineering methodologies and disciplines.
• Learn and grasp the basic functions and responsibilities associated with a FinOps team.
• Identify the specific responsibilities of engineering and operations team members within FinOps processes.

This instructor-led, live training in Serbia (online or onsite) targets intermediate-level finance professionals seeking comprehensive knowledge of FinOps principles and methodologies, including cloud financial management, optimization strategies, and collaboration among finance, engineering, and business teams.

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

• Understand the FinOps framework, principles, and phases.
• Manage cloud costs effectively through data analysis and governance.
• Collaborate between finance, engineering, and business units to align cloud spend.
• Use FinOps tools for cost allocation, forecasting, and optimization.
• Prepare for the FinOps Certified FOCUS Analyst exam.

This instructor-led, live training in Serbia (online or on-site) is designed for advanced-level cloud financial management professionals who wish to validate their expertise in financial operations (FinOps) related to cloud cost management.

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

• Acquire the advanced knowledge necessary for the FinOps Certified Professional exam.
• Comprehend complex FinOps practices, such as cost optimization, budget management, and reporting.
• Develop practical skills for applying FinOps strategies in real-world scenarios.
• Prepare effectively to successfully pass the FinOps Certified Professional exam.

This instructor-led live training, delivered in Serbia (either online or onsite), is aimed at professionals who want to expand their FinOps knowledge in preparation for the FinOps Certified Practitioner certification exam.

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

• Understand cloud usage and cost modeling, cost allocation, and resource planning.
• Understand the pillars of FinOps and their implementation in an organization.
• Learn how the organization works to define the pricing model goals and use historical data in making pricing model adjustments.
• Take the FinOps Certified Practitioner certification exam with confidence.

This instructor-led, live training Serbia (available online or onsite) targets data scientists and developers who aspire to learn and build their careers in Data Science using Kaggle.

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

• Learn about data science and machine learning.
• Explore data analytics.
• Learn about Kaggle and how it works.

This instructor-led, live training in Serbia (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.

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

• Set up the necessary environment to start developing Pandas workflows at scale with Modin.
• Understand the features, architecture, and advantages of Modin.
• Know the differences between Modin, Dask, and Ray.
• Perform Pandas operations faster with Modin.
• Implement the entire Pandas API and functions.

This instructor-led live training in Serbia (online or onsite) targets developers who wish to use the Open Bank Project API to develop and test decentralized applications that integrate easily with digital banking systems.

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

• Set up the necessary development environment to start developing applications with OBP API.
• Understand the Open Bank Project architecture, technology, and concepts.
• Learn how to use and customize OBP API to develop and build applications for banking.
• Explore the features, tools, APIs, and sandboxes in OBP.
• Implement security and integrations in OBP API connectors and adapters.

This instructor-led live training in Serbia (online or onsite) targets data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, while applying machine learning algorithms such as XGBoost and cuML.

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

• Set up the necessary development environment to build data models with NVIDIA RAPIDS.
• Understand the features, components, and advantages of RAPIDS.
• Leverage GPUs to accelerate end-to-end data and analytics pipelines.
• Implement GPU-accelerated data preparation and ETL with cuDF and Apache Arrow.
• Learn how to perform machine learning tasks with XGBoost and cuML algorithms.
• Build data visualizations and execute graph analysis with cuXfilter and cuGraph.