Introductory R (Basic to Intermediate) Training Course

This instructor-led, live training in Norway (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 Norway (online or onsite) is designed for business analysts who wish to automate trading using algorithmic trading, Python, and R.

Upon completing this training, participants will be able to:

• Use algorithms to rapidly buy and sell securities at specialized increments.
• Lower the costs associated with trading through the use of algorithmic trading.
• Automatically monitor stock prices and execute trades.

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

This instructor-led live training in Norway (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 crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to 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 guided, live training in Norway (available online or at your location) targets professionals at the beginner level who want to learn how to clean and analyze data, forecast statistical trends, and generate meaningful visual representations using these tools.

Upon completing this training, attendees will be capable of:

• Gaining foundational knowledge of Python, R, Power Query, and Power BI for data analysis.
• Cleaning and organizing datasets using Python and Power Query.
• Executing statistical analysis and forecasting with R.
• Developing professional dashboards and reports using Power BI.
• Effectively integrating and analyzing data from various sources.

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

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Interactive lectures combined with hands-on exercises

This instructor-led live training in Norway (online or onsite) is intended for intermediate-level data analysts and business professionals seeking to perform time series forecasting and automate data analysis workflows using R.

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

• Grasp the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Leverage the 'forecast' package to create accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led live training in Norway (online or onsite) is targeted at data scientists who wish to utilize 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.

Unstructured data, with text forming a significant portion, makes up over 90 percent of all data generated. This volume grows daily through blog posts, tweets, social media activity, and other digital publications.

This instructor-led, live course focuses on extracting meaningful insights from this data. By leveraging the R Language alongside Natural Language Processing (NLP) libraries, we integrate principles from computer science, artificial intelligence, and computational linguistics to algorithmically interpret the significance of textual data. Data samples can be provided in various languages to meet specific customer requirements.

Upon completion of this training, participants will be capable of preparing datasets (both large and small) from diverse sources and applying appropriate algorithms to analyze and report on their significance.

Format of the Course

• A mix of lectures and discussions, with extensive hands-on practice and occasional assessments to evaluate understanding

Through this instructor-led, live training, participants will explore advanced machine learning techniques using R while building a practical, real-world application.

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

• Comprehend and implement unsupervised learning methods
• Utilize clustering and classification to generate predictions from real-world data.
• Create visualizations to rapidly derive insights, support decision-making, and refine analytical processes.
• Enhance machine learning model performance through hyper-parameter tuning.
• Deploy models into production environments for integration into broader applications.
• Employ advanced machine learning techniques to address inquiries related to social network data, big data, and other complex datasets.

R is a widely adopted programming language within the financial sector. It powers a diverse range of financial applications, from core trading systems to sophisticated risk management platforms.

Through this instructor-led live training, participants will gain the skills needed to leverage R for developing practical applications that address specific finance-related challenges.

Upon completion of this training, participants will be capable of:

• Gaining a solid understanding of R programming fundamentals
• Choosing and employing R packages and techniques to organize, visualize, and analyze financial data from diverse sources (such as CSV, Excel, databases, and web feeds)
• Constructing applications that resolve issues related to asset allocation, risk analysis, investment performance, and other areas
• Troubleshooting, integrating, deploying, and optimizing R applications

Target Audience

• Developers
• Analysts
• Quants

Course Format

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

Note

• This training focuses on providing solutions to key problems encountered by finance professionals. If you have a specific topic, tool, or technique you would like to include or expand upon, please contact us to make arrangements.

R is a free, open-source programming language designed for statistical computing, data analysis, and visualization. It is increasingly utilized by managers and data analysts within both corporate and academic sectors. R has also gained popularity among statisticians, engineers, and scientists who lack formal programming training but appreciate its user-friendly interface. This growing adoption stems from the expanding role of data mining in achieving diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports a vast ecosystem of packages specifically tailored for data mining tasks.

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

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.

Shiny is an R package that allows users to create interactive and dynamic web applications directly within the R environment, eliminating the need for JavaScript expertise or complex web frameworks.

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

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

• Develop interactive web applications leveraging Shiny and R.
• Construct user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualization tools and reporting capabilities into Shiny applications.
• Deploy and share Shiny apps either locally or online via Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Customization Options

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