Predictive Modelling with R Training Course

This instructor-led, live training in Portugal (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led, live training in Portugal (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

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

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

In this instructor-led live training in Portugal, participants will learn the mindset required to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies to identify criminal activity and prevent crime. Case studies from law enforcement organizations worldwide will be examined to gain insights into their adoption approaches, challenges, and results.

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

• Integrate Big Data technology with traditional data gathering processes to construct a narrative during an investigation.
• Implement industrial big data storage and processing solutions for data analysis.
• Prepare a proposal for adopting the most suitable tools and processes to enable a data-driven approach to criminal investigation.

Audience

If you strive to make sense of the data you have access to or wish to analyze unstructured data available on the net (like Twitter, Linked in, etc...) this course is for you.

It is mostly aimed at decision makers and people who need to choose what data is worth collecting and what is worth analyzing.

It is not aimed at people configuring the solution, those people will benefit from the big picture though.

Delivery Mode

During the course delegates will be presented with working examples of mostly open source technologies.

Short lectures will be followed by presentation and simple exercises by the participants

Content and Software used

All software used is updated each time the course is run, so we check the newest versions possible.

It covers the process from obtaining, formatting, processing and analysing the data, to explain how to automate decision making process with machine learning.

This instructor-led, live training in Portugal (online or on-site) is aimed at data scientists and analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

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

• Load datasets into DataRobot to analyze, assess, and perform quality checks on data.
• Build and train models to identify key variables and achieve prediction targets.
• Interpret models to generate valuable insights that support business decision-making.
• Monitor and manage models to maintain optimal prediction performance.

• Understand the importance of ethics in AI development and deployment.

• Learn to identify and mitigate ethical risks associated with AI.

• Gain insights into regulatory and compliance requirements.

• Develop strategies for fostering an ethical AI culture within their organisations.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in Portugal (online or on-site) is designed for intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.

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

• Comprehend the fundamentals of predictive AI and generative models.
• Utilize AI-driven tools for predictive coding, forecasting, and automation.
• Implement Large Language Models (LLMs) and transformers for text and code generation.
• Apply time-series forecasting and AI-based recommendation systems.
• Develop and fine-tune AI models for practical, real-world use cases.
• Assess ethical considerations and adhere to best practices in AI deployment.

This instructor-led, live training in Portugal (offered online or onsite) is designed for beginner-level IT professionals who want to master the fundamentals of Predictive AI.

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

• Understand the core concepts of Predictive AI and their applications.
• Collect, clean, and preprocess data for predictive analysis.
• Explore and visualize data to uncover insights.
• Build basic statistical models to make predictions.
• Evaluate the performance of predictive models.
• Apply Predictive AI concepts to real-world scenarios.

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly utilized by managers and data analysts within both corporate environments and academic institutions. R offers a vast array of packages tailored for data mining tasks.

Predictive analytics is the practice of leveraging data analysis to forecast future outcomes. This approach combines data with techniques from data mining, statistics, and machine learning to construct predictive models capable of anticipating upcoming events.

Through this instructor-led live training, participants will acquire the skills to utilize Matlab for building predictive models and applying them to large-scale datasets to forecast future scenarios based on historical data.

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

• Develop predictive models to analyze patterns within historical and transactional data
• Employ predictive modeling to identify potential risks and opportunities
• Construct mathematical models that effectively capture key trends
• Leverage data from devices and business systems to minimize waste, save time, or reduce costs

Audience

• Developers
• Engineers
• Domain experts

Format of the course

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

This instructor-led, live training in Portugal (online or onsite) is aimed at intermediate-level data professionals who wish to apply machine learning techniques to data-driven business problems, including sales forecasting and predictive modeling using neural networks.

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

• Understand the core concepts and types of machine learning.
• Apply key algorithms for classification, regression, clustering, and association analysis.
• Perform exploratory data analysis and data preparation using Python.
• Use neural networks for nonlinear modeling tasks.
• Implement predictive analytics for business forecasting, including sales data.
• Evaluate and optimize model performance using visual and statistical techniques.

This instructor-led, live training in Portugal (online or onsite) is designed for intermediate-level DevOps professionals seeking to integrate predictive AI into their DevOps practices.

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

• Implement predictive analytics models to forecast and resolve challenges within the DevOps pipeline.
• Utilise AI-driven tools to improve monitoring and operations.
• Apply machine learning techniques to enhance software delivery workflows.
• Design AI strategies for proactive issue resolution and optimisation.
• Navigate the ethical considerations of using AI in DevOps.

RapidMiner is an open-source data science software platform designed for rapid application prototyping and development. It features an integrated environment covering data preparation, machine learning, deep learning, text mining, and predictive analytics.

Through this instructor-led live training, participants will learn to utilize RapidMiner Studio for data preparation, machine learning, and the deployment of predictive models.

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

• Installing and configuring RapidMiner
• Preparing and visualizing data using RapidMiner
• Validating machine learning models
• Mashing up data and creating predictive models
• Implementing predictive analytics within business processes
• Troubleshooting and optimizing RapidMiner

Audience

• Data scientists
• Engineers
• Developers

Format of the Course

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

Note

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

This instructor-led live training, available online or onsite, is designed for beginner to intermediate analysts, researchers, and professionals who wish to use SPSS for data preparation, statistical analysis, and predictive modeling.

Target Audience

Course Format

Upon completing this training, participants will be equipped to:

This instructor-led live training guides participants through the process of manipulating and visualizing data using the tools available in the Tidyverse.

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

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

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

• Conduct data analysis and create compelling visualizations
• Derive meaningful insights from various datasets and sample data
• 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, including Excel, CSV, and SPSS files