Predictive Modelling with R Training Course

This instructor-led, live training in the UAE (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 the UAE (online or onsite) is designed for business analysts looking to automate trades using algorithmic trading, Python, and R.

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

• Utilize algorithms to rapidly buy and sell securities at specialized increments.
• Lower trade-related costs by leveraging algorithmic trading.
• Automatically monitor stock prices and execute trades.

In this instructor-led live training in the UAE, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.

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

• Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation.
• Implement industrial big data storage and processing solutions for data analysis.
• Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation.

Big Data encompasses solutions designed for the storage and processing of extensive datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R has established itself as a widely utilized programming language within the financial sector.

Audience

If you are looking to make sense of the data you have access to or want to analyze unstructured data available on the internet (such as Twitter, LinkedIn, etc.), this course is designed for you.

It is primarily aimed at decision-makers and individuals who need to determine what data is worth collecting and what is worth analyzing.

It is not intended for people configuring the solution; however, 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 the UAE (online or onsite) is tailored for data scientists and analysts aiming to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

Upon completing this training, participants will be able to:

• Load datasets into DataRobot to analyze, assess, and ensure data quality.
• Construct and train models to identify key variables and achieve prediction goals.
• Interpret models to derive valuable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.

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

• Understand the fundamentals of predictive AI and generative models.
• Utilize AI-powered tools for predictive coding, forecasting, and automation.
• Implement LLMs (Large Language Models) and transformers for text and code generation.
• Apply time-series forecasting and AI-based recommendations.
• Develop and fine-tune AI models for real-world applications.
• Evaluate ethical considerations and best practices in AI deployment.

This instructor-led, live training, available online or on-site, is tailored for beginner-level IT professionals aiming to grasp the essentials of Predictive AI.

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

• Understand the core concepts of Predictive AI and its 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 visualization. It is increasingly adopted by managers and data analysts across both corporate sectors and academic institutions. R offers a comprehensive ecosystem of packages tailored for data mining and analysis.

Predictive analytics involves utilizing data analytics to forecast future outcomes. This approach leverages data mining, statistical analysis, and machine learning methodologies to construct predictive models capable of forecasting subsequent events.

Through this instructor-led live training, participants will acquire the skills to utilize Matlab for developing predictive models and applying them to extensive datasets to anticipate future occurrences based on historical data.

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

• Develop predictive models to analyze patterns within historical and transactional data
• Employ predictive modeling techniques to identify potential risks and opportunities
• Construct mathematical models that encapsulate significant trends
• Leverage data from devices and business systems to minimize waste, conserve time, and reduce expenses

Audience

• Developers
• Engineers
• Domain experts

Course Format

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

This instructor-led, live training in the UAE (online or onsite) targets intermediate-level data professionals who intend to apply machine learning techniques to solve data-driven business issues, encompassing sales forecasting and predictive modeling using neural networks.

By the conclusion 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 the UAE (available online or onsite) is tailored for intermediate-level DevOps professionals who aim to incorporate predictive AI into their DevOps practices.

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

• Implement predictive analytics models to forecast and resolve challenges in the DevOps pipeline.
• Utilize AI-driven tools for enhanced monitoring and operations.
• Apply machine learning techniques to improve software delivery workflows.
• Design AI strategies for proactive issue resolution and optimization.
• 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 provides a comprehensive, integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.

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

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

• Install and configure RapidMiner
• Prepare and visualize data using RapidMiner
• Validate machine learning models
• Combine data and create predictive models
• Implement predictive analytics within a business process
• Troubleshoot and optimize RapidMiner

Audience

• Data scientists
• Engineers
• Developers

Format of the Course

• A blend 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) targets beginner to intermediate analysts, researchers, and professionals who aim to utilize SPSS for data preparation, statistical analysis, and predictive modeling.

Who Is This For?

Course Structure

Upon completing this training, participants will be equipped to:

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

The Tidyverse consists of a cohesive set of powerful R packages designed for data cleaning, processing, modeling, and visualization. Key components include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R programming language
• Those new to data analysis and data visualization techniques

• A mix of lecture, discussion, exercises, and extensive hands-on practice

• Conduct data analysis and generate visually appealing charts
• Derive meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Convert processed data into informative visualizations such as line plots, bar charts, and histograms
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files