Algorithmic Trading with Python and R Training Course

This instructor-led live training in Serbia (online or onsite) is designed for intermediate-level participants who wish to master advanced data integration and visualization techniques in Looker Studio. The course covers connecting diverse data sources, designing impactful dashboards, and automating reporting workflows to drive better business decisions.

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

• Connect and integrate multiple data sources into Looker Studio.
• Create custom metrics and calculated fields for tailored analysis.
• Design advanced visualizations, including interactive filters and charts.
• Automate reporting workflows for real-time data updates.
• Apply best practices for visual storytelling and report customization.

This instructor-led live training in Serbia (online or onsite) is designed for intermediate data analysts who wish to understand the theoretical aspects of Cognos 11 and learn how to utilize it effectively.

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 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 in Serbia (online or onsite) targets intermediate-level data professionals seeking to implement a lakehouse solution using Microsoft Fabric.

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

• Understand the architecture and components of Microsoft Fabric.
• Configure and manage a Lakehouse using Microsoft Fabric.
• Ingest and transform data using Apache Spark.
• Utilize Delta Lake tables for versioning and managing data.
• Implement data ingestion pipelines with Dataflows Gen2.
• Orchestrate data pipelines using Data Factory.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to enhance their productivity and efficiency by leveraging the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

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

• Navigate and utilize the core features of Excel and Google Sheets.
• Perform data analysis and create actionable insights using advanced spreadsheet techniques.
• Collaborate in real-time using Google Sheets for seamless teamwork.
• Create reusable templates for reporting, tracking, and project management.

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 targeted at data analysts who wish to utilize Google Sheets for data analysis.

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

• Build spreadsheets using Google Sheets.
• Use formulas that function in both Google Sheets and Excel.
• Format and analyze any type of data.
• Create data visualizations with charts and graphs.

Google Sheets is a robust, cloud-based spreadsheet application designed to facilitate real-time collaboration, effective data organization, and comprehensive analysis.

This instructor-led live training, available online or onsite, is designed for beginner to intermediate professionals seeking to enhance their productivity and collaborative capabilities through the advanced features of Google Sheets.

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

• Effectively navigate and leverage the core functionalities of Google Sheets.
• Organize and manage data with precision using filters, sorting options, and formatting tools.
• Implement essential and advanced formulas tailored to business scenarios.
• Develop charts, dashboards, and reusable templates to streamline reporting and teamwork.

Course Format

• Engaging lectures and interactive discussions.
• Practical, hands-on exercises within Google Sheets.
• Application of real-world examples and collaborative group activities.

Customization Options

• For tailored training requests, please reach out to us to make arrangements.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to build foundational skills for data visualization and reporting using Looker Studio, and learn how to connect data sources, visualize information effectively, and gain actionable insights.

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

• Understand the core features of Looker Studio and its use cases.
• Set up Looker Studio and connect to various data sources.
• Create engaging dashboards with charts, graphs, and filters.
• Customize reports for specific audiences and business needs.
• Collaborate on and share dashboards effectively.

This instructor-led, live training in Serbia (online or onsite) targets data analysts and scientists seeking to utilize Metabase for data collection, querying, and visualization for business intelligence purposes.

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

• Install and set up Metabase to initiate the creation of data visualizations and dashboards.
• Master the techniques for querying, aggregating, and visualizing data within Metabase.
• Utilize Metabase's features to construct SQL queries.
• Design analytical charts and dashboards to gain valuable business insights.
• Understand best practices and effective strategies for using Metabase and resolving common challenges.

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.

Microsoft Fabric serves as a comprehensive analytics platform that consolidates data engineering, data integration, data warehousing, data science, real-time analytics, and business intelligence into a single solution.

This instructor-led live training, available online or onsite, is designed for intermediate data professionals looking to utilize Microsoft Fabric for constructing modern data solutions that feature integrated analytics, governance, and visualization capabilities.

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

• Comprehend the components of Microsoft Fabric and their integration within the Microsoft ecosystem.
• Establish and administer Fabric Workspaces with appropriate access controls.
• Develop and manage Lakehouses to centralize and analyze data.
• Utilize notebooks for exploratory analysis and data transformation using Python and SQL.
• Create and automate data flows through visual pipelines.
• Model and manage data utilizing the Data Warehouse and Semantic Model layers.
• Design and publish interactive dashboards using Power BI within Fabric.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange a customized training for this course, please get in touch with us.

Target Audience

Course Format

By the conclusion of this training, learners will be capable of:

In this instructor-led live session, attendees will discover how to manipulate and visualize data using the tools provided within the Tidyverse.

The Tidyverse comprises a suite of flexible R packages designed for cleaning, processing, modeling, and visualizing data. Key packages included are ggplot2, dplyr, tidyr, readr, purrr, and tibble.

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

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

• Conduct data analysis and produce compelling visualizations
• Extract meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory queries
• 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