R Language Training in the UAE

This instructor-led, live training in the UAE (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

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

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

Shiny is an R package that enables users to build interactive and dynamic web applications directly from R, without requiring knowledge of JavaScript or complex web frameworks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level R users who wish to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

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

• Create interactive web applications using Shiny and R.
• Design user interfaces with reactive elements and dynamic inputs.
• Incorporate data visualizations and reporting features into Shiny apps.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Effectively use Stata for data analysis and statistical modeling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

R is a widely-used, open-source environment for statistical computing, data analysis, and graphics. This course provides an introduction to the R programming language for students. It delves into the basics of the language, key libraries, and advanced topics. The curriculum also includes practical applications in advanced data analytics and graphing using real-world datasets.

Audience

Developers / Data Analysts

Duration

3 days

Format

Lectures and Hands-on Sessions

Data analytics plays a vital role in modern business operations. Throughout this program, we will concentrate on honing practical data analysis skills. Our goal is to equip participants with the ability to provide evidence-based responses to key questions:

What has transpired?

• processing and examining data
• creating insightful data visualizations

What will occur?

• predicting future performance
• assessing forecast accuracy

What actions should be taken?

• transforming data into evidence-driven business decisions
• streamlining processes for optimization

The course can be conducted as a 6-day classroom session or remotely, spread over several weeks, if preferred. We are flexible and can tailor the delivery method to best meet your requirements.

It is projected that unstructured data constitutes over 90 percent of all data, with a significant portion existing as text. This includes blog posts, tweets, social media updates, and other digital content that continually expands this vast dataset.

This instructor-led course focuses on deriving insights and meaning from such data. By leveraging the R programming language and Natural Language Processing (NLP) libraries, we integrate concepts and methodologies from computer science, artificial intelligence, and computational linguistics to algorithmically interpret text data. Data samples are provided in multiple languages based on customer needs.

Upon completion of this training, participants will be equipped to prepare datasets—both large and small—from various sources, and apply appropriate algorithms for analysis and reporting their significance.

Course Format

• The course includes lectures, discussions, extensive hands-on practice, and occasional assessments to evaluate understanding.

This instructor-led, live training in the UAE (online or onsite) is aimed at data analysts who wish to program in R for Excel.

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

• Toggle and move data between Excel and R.
• Use R Tidyverse and R features for data analytic solutions in Excel.
• Extend their data analytical skills by learning R.

R is a widely-used programming language in the financial sector. It is employed across various financial applications, from core trading systems to risk management platforms.

During this instructor-led live training session, participants will learn how to leverage R for developing practical solutions to address specific finance-related challenges.

By the conclusion of the course, attendees will be able to:

• Grasp the foundational aspects of the R programming language
• Select and apply appropriate R packages and methodologies to organize, visualize, and analyze financial data from multiple sources (CSV files, Excel spreadsheets, databases, web resources, etc.)
• Create applications that tackle issues such as asset allocation, risk assessment, investment performance analysis, and more
• Debug, integrate, deploy, and optimize R applications effectively

Audience

• Software Developers
• Data Analysts
• Quantitative Analysts (Quants)

Course Format

• The course includes a mix of lectures, discussions, exercises, and extensive hands-on practice.

Note

• This training is designed to address key challenges faced by finance professionals. If you have specific topics, tools, or techniques that you would like us to cover in more detail, please contact us to arrange accordingly.

This course delves into advanced concepts in R programming.

This instructor-led, live training in the UAE (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.

Big Data encompasses solutions designed for managing and analyzing extensive datasets. Initially developed by Google, these Big Data solutions have advanced significantly and have spurred numerous comparable initiatives, many of which are now offered as open-source options. In the financial sector, R is a widely-used programming language.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

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

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This instructor-led, live training in the UAE (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

R is an open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly utilized by managers and data analysts in both corporate environments and academic settings. R offers a broad range of packages specifically tailored for data mining.

R is an open-source, freely available programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by managers and data analysts in both corporate environments and academic institutions. R offers a broad range of packages specifically tailored for data mining.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level professionals who wish to gain a mastery of the fundamentals of R and how to work with data.

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

• Understand the R programming environment and RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Perform basic statistical analysis and data summarization.
• Generate visualizations using both base R and ggplot2.
• Manage workspaces, scripts, and packages effectively.

R is an open-source, freely available programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by managers and data analysts within both corporate environments and academic institutions. R offers a broad range of packages specifically tailored for data mining.

This instructor-led, live training in the UAE (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

Audience

Business owners such as marketing managers, product managers, and customer base managers, along with their teams; professionals specializing in customer insights.

Overview

This course covers the entire customer lifecycle, from attracting new customers to managing existing ones for profitability, retaining loyal customers, and understanding why some customers leave. We will use real (though anonymous) data from various sectors including telecommunications, insurance, media, and high tech.

Format

The training is instructor-led over five half-day sessions, featuring both in-class exercises and homework assignments. It can be conducted either in a classroom setting or online.

R is an open-source, freely available programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by numerous managers and data analysts within corporate settings and academic institutions. R offers a broad range of packages specifically tailored for data mining.

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

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

• Understand and implement unsupervised learning techniques
• Apply clustering and classification to make predictions based on real world data.
• Visualize data to quicly gain insights, make decisions and further refine analysis.
• Improve the performance of a machine learning model using hyper-parameter tuning.
• Put a model into production for use in a larger application.
• Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

R is an open-source programming language designed for statistical computing, data analysis, and graphics. It is increasingly adopted by managers and data analysts in both corporate settings and academic institutions. R appeals to statisticians, engineers, and scientists who may not have extensive computer programming experience due to its user-friendly nature. Its widespread use can be attributed to the growing importance of data mining for diverse objectives such as setting advertisement prices, accelerating drug discovery, or refining financial models. R offers a broad range of packages specifically tailored for data mining.

This course provides an overview of utilizing neural networks to solve practical problems through the use of R-project software.

This course is designed for data scientists and statisticians who already possess foundational R and C++ coding skills and wish to enhance their advanced R programming abilities.

The aim is to provide a practical, advanced R programming course for participants looking to apply these techniques in their professional roles.

Sector-specific examples are incorporated to ensure the training is pertinent to the audience.

This course is a component of the Data Scientist skill set (Domain: Data and Technology).

Shiny is an open-source R package that offers a web framework for creating interactive web applications using R.

In this instructor-led live training session, participants will learn how to integrate data science with web development using Shiny, R, and HTML.

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

• Create interactive web applications with R using Shiny

Audience

• Data scientists
• Web developers
• Statisticians

Course format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

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

• Create statistic models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to preapare for data analysis.

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

This instructor-led, live training in the UAE (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

The Tidyverse is a suite of flexible R packages designed for data cleaning, processing, modeling, and visualization. Key components include ggplot2, dplyr, tidyr, readr, purrr, and tibble.

During this instructor-led live training session, participants will learn how to manipulate and visualize data using the tools provided by the Tidyverse.

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

• Analyze data and generate compelling visualizations
• Derive meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Create informative line plots, bar charts, and histograms from processed data
• Import and filter data from a variety of sources such as Excel, CSV, and SPSS files

Audience

• Beginners to the R programming language
• Newcomers to data analysis and visualization

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Description: 

This course is tailored for R users aiming to develop web applications without delving into cross-browser HTML, JavaScript, and CSS.

Objective:

It provides an introduction to the fundamental workings of Shiny apps.

It encompasses all frequently utilized input/output/rendering/paneling functions within the Shiny library.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

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

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

Audience

• Managers
• Developers
• Scientists
• Students

Course Format

Online instruction and discussion OR in-person workshops

R is an open-source programming language designed for statistical computing, data analysis, and graphics. It is increasingly utilized by managers and data analysts within corporations and academic institutions. R has also gained popularity among statisticians, engineers, and scientists who may not have extensive computer programming experience but find it user-friendly. Its widespread adoption can be attributed to the growing importance of data mining for various purposes such as setting ad prices, accelerating drug discovery, or refining financial models. R offers a broad range of packages specifically tailored for data mining.

This course focuses on handling objects in R, including importing data, utilizing R packages, creating R functions, and generating insightful graphs. It also covers the analysis of data using common statistical models. The course provides instruction on how to use the R software (https://www.r-project.org) both through command-line operations and within a graphical user interface (GUI).