Advanced R Training Course

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.

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.

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 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

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.

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 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.

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.

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.

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.