Python Programming for Finance Training Course

This instructor-led live training, conducted in Taiwan (online or onsite), targets data scientists who wish to utilize the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows on 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.
• Gain insight into practical use cases and techniques for managing multiple data environments.

This instructor-led, live training in Taiwan (online or onsite) is designed 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:

• Set up the environment to begin building big data processing with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Understand how Dask accelerates parallel computing in Python.
• Learn how to scale the Python ecosystem (including Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance when handling large datasets.

This instructor-led, live training in Taiwan (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 (online or onsite) is designed for developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

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

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led live training in Taiwan (online or onsite) is tailored for developers who wish to utilize FastAPI with Python to build, test, and deploy RESTful APIs with greater ease and speed.

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

• Configure the necessary development environment for creating APIs with Python and FastAPI.
• Develop APIs more quickly and effortlessly using the FastAPI library.
• Learn to create data models and schemas based on Pydantic and OpenAPI standards.
• Integrate APIs with databases using SQLAlchemy.
• Implement security measures and authentication within APIs using FastAPI tools.
• Construct container images and deploy web APIs to cloud servers.

This instructor-led live training in Taiwan (available online or onsite) targets cloud administrators, cloud architects, technology leaders, and financial analysts who aim to record, manage, monitor, and process the financial assets of an organization in the cloud.

By the end of this training, participants will be capable of utilizing FinOps practices within an organization to forecast costs, optimize processes, and conduct financial management operations in the cloud.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level finance professionals who wish to acquire comprehensive knowledge of FinOps principles and methodologies. These include 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 Taiwan (online or onsite) is designed for advanced cloud financial management professionals who wish to validate their expertise in financial operations (FinOps) related to cloud cost management.

Upon completing this training, participants will be able to:

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

GnuCash is an open-source, cross-platform double-entry accounting system tailored for personal and small business financial management. It offers comprehensive accounting features such as invoicing, expense tracking, reconciliation, and financial reporting. Additionally, GnuCash supports online banking integration, multi-currency handling, and data import/export in formats like QIF, OFX, and CSV.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate business professionals who want to effectively manage and automate their accounting, billing, and reporting processes using GnuCash.

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

• Install, configure, and customize GnuCash for business applications.
• Set up business accounts and manage transactions adhering to double-entry principles.
• Generate financial statements and reports for analysis and auditing purposes.
• Integrate GnuCash with banks, external systems, and online data sources.
• Automate recurring transactions and manage multi-currency operations.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises and real-world business examples.
• Hands-on configuration and data entry in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange it.

This instructor-led live training in Taiwan (online or on-site) is designed for data scientists and developers who wish to learn and build their careers in Data Science using Kaggle.

Upon completion of this training, participants will be able to:

• Gain a comprehensive understanding of data science and machine learning.
• Explore the intricacies of data analytics.
• Understand Kaggle and its operational mechanisms.

This instructor-led live training (onsite or remote) is aimed at accountants and bookkeepers who wish to use Xero for bookkeeping.

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

• Get a real-time view of cashflow.
• Link bank accounts to Xero for bank reconciliation.
• Prepare and check VAT (Value Added Tax) returns in Xero.
• Create reports for sharing amongst team members.

This instructor-led, live training in Taiwan (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 Taiwan (online or onsite) is designed for developers who want to utilize the Open Bank Project API to develop and test decentralized applications that can be easily integrated with digital banking systems.

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

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

This instructor-led, live training in Taiwan (online or onsite) is tailored for data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, 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.