Introductory R (Basic to Intermediate) 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.

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.

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.

Data analytics is a vital asset in the modern business landscape. This course emphasizes the development of practical, hands-on data analysis skills. The primary objective is to equip participants with the ability to provide evidence-based answers to key questions: 

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

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.

R is a highly popular, open-source environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering its core fundamentals, essential libraries, and advanced concepts. Participants will learn advanced data analytics and graphing techniques using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on

This instructor-led, live training in the UAE (online or onsite) is designed for beginner-level professionals who wish to master the fundamentals of R and data handling.

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.

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.

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.

This instructor-led live training in the UAE (online or on-site) is tailored for data scientists seeking to utilize Python and R for KNIME.

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

• Plan, develop, and deploy machine learning models within KNIME.
• Make data-driven decisions for operational improvements.
• Implement comprehensive data science projects from start to finish.

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

R is a free, open-source programming language designed for statistical computing, data analysis, and visualization. It is increasingly adopted by managers and data analysts across both corporate environments and academia. R offers a comprehensive ecosystem of packages 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 quickly 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.

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