Algorithmic Trading with Python and R Training Course

This instructor-led live training in Slovakia (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer.

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

• Learn to use and configure all the tools in the developer tab.
• Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
• Learn how to use API tools to download and parse web data.
• Use Alteryx scripting tools, including Python and R.

This instructor-led live training in Slovakia (online or onsite) is designed for intermediate-level data analysts seeking to understand the theoretical underpinnings of Cognos 11 and master its practical application.

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

• Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
• Utilize the improved data module and data management features for more efficient data handling.
• Implement best practices for a smooth transition and optimal use of Cognos 11.

This instructor-led live training, conducted Slovakia (online or onsite), targets consultants and finance professionals from beginner to advanced levels who wish to prepare for the Cognos Analytics certification. The program provides specialized training in financial data analysis, including modules for accounts payable, treasury, and expenses.

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

• Navigate the Cognos Analytics interface with efficiency.
• Develop and customize financial reports and dashboards.
• Manage data models and optimize queries.
• Prepare for the Cognos Analytics certification exam.

This instructor-led, live training in Slovakia (online or onsite) is aimed at 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 start 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 (Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance in handling large datasets.

This instructor-led, live training in Slovakia (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, offered online or onsite, is designed for developers aiming to utilize 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 required development environment integrating FastAPI, React, and MongoDB.
• Understand the core concepts, features, and benefits of the FARM stack.
• Learn how to construct REST APIs with FastAPI.
• Learn how to 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 Slovakia (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.

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

• Set up the necessary development environment to develop APIs with Python and FastAPI.
• Create APIs quicker and easier 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 the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

This instructor-led, live training in Slovakia (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting.

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

• Analyze and share insights about data.
• Visualize business performance.
• Use AI-assisted preparation to cleanse and combine data sources.
• Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.

This instructor-led live training in Slovakia (available online or onsite) is designed for data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.

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

• Install and configure Metabase to start building data visualizations and dashboards.
• Learn how to query, aggregate, and visualize data in Metabase.
• Use the features and tools in Metabase to write SQL queries.
• Build analytics charts and dashboards to get business insights.
• Know the best practices and tips on using Metabase and resolving common issues.

This instructor-led, live training in Slovakia (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.

The Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence solution offering data integration, reporting, dashboarding, and data loading capabilities.

In this instructor-led live training, attendees will explore how to fully leverage the features of the Pentaho Open Source BI Suite Community Edition (CE).

Upon completion of this course, participants will be equipped to:

• Install and configure Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core concepts and functionalities of Pentaho CE tools
• Create reports using Pentaho CE
• Integrate external data sources with Pentaho CE
• Handle big data and analytics within Pentaho CE

Target Audience

• Developers
• BI Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• To arrange customized training for this course, please contact us directly.

Pentaho Data Integration is an open-source tool designed for defining jobs and data transformations.

This instructor-led live training enables participants to master the powerful ETL capabilities and rich GUI of Pentaho Data Integration, allowing them to manage the entire big data lifecycle and maximize data value within their organizations.

Upon completion, participants will be able to:

• Create, preview, and execute basic data transformations using steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Consolidate disparate data sources into a single, unified, analytics-ready version of the truth
• Deliver results to third-party applications for further processing

Audience

• Data Analysts
• ETL Developers

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Pentaho Data Integration serves as a robust platform for creating enterprise-grade ETL processes and data pipelines.

This instructor-led live training, available online or onsite, targets advanced engineers aiming to master high-performance, enterprise-scale, and heavily automated PDI solutions.

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

• Architect large-scale ETL pipelines with sophisticated orchestration.
• Optimize complex transformations to ensure high performance.
• Apply scripting, automation, and hybrid integration patterns.
• Design robust, maintainable workflows ready for production.

Course Format

• Demonstrations and architectural discussions led by experts.
• Extensive lab work addressing advanced real-world ETL challenges.
• Hands-on development within a production-like environment.

Customization Options

• Please contact us if you need a customized version of this training.

Pentaho Data Integration serves as a comprehensive platform for data extraction, transformation, and loading (ETL).

This instructor-led live training, available both online and onsite, is designed for intermediate practitioners looking to elevate their PDI capabilities for handling more complex transformation scenarios.

Upon successful completion of this course, participants will be able to:

• Design multi-step transformations optimized for improved performance.
• Utilize variables, parameters, and reusable components effectively.
• Integrate PDI seamlessly with databases, APIs, and external systems.
• Implement best practices to ensure ETL pipelines are maintainable and scalable.

Course Format

• Interactive demonstrations accompanied by detailed instructor explanations.
• Guided exercises and practice sessions based on real-world scenarios.
• Hands-on experience within a realistic ETL project environment.

Customization Options

• For tailored versions of this course, please reach out to us for customization.

Target Audience

Course Format

Upon completion of this training, participants will be equipped with the skills to:

This instructor-led, live training enables participants to master the manipulation and visualization of data using the comprehensive tools available within the Tidyverse ecosystem.

The Tidyverse consists of a suite of versatile R packages designed for cleaning, processing, modeling, and visualizing data. Key packages include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R programming language
• Beginners in data analysis and data visualization

• A blend of lectures, discussions, exercises, and extensive hands-on practice

• Execute data analysis and produce compelling visualizations
• Derive meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Transform processed data into informative line plots, bar plots, and histograms
• Import and filter data from diverse sources, such as Excel, CSV, and SPSS files