Introductory R (Basic to Intermediate) Training Course

This instructor-led, live training in Sweden (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 Sweden (online or on-site) is designed for business analysts who wish to automate trading using algorithmic strategies, 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 track stock prices and execute trades.

Big Data encompasses solutions designed for storing and processing extensive datasets. Originally developed by Google, these Big Data technologies have evolved and inspired numerous other initiatives, many of which are open-source. R is a widely used programming language within the financial sector.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by managers and data analysts within both corporate and academic sectors. Additionally, R appeals to statisticians, engineers, and scientists who may lack traditional computer programming skills but appreciate its user-friendly nature. Its growing popularity stems from the expanding application of data mining for diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, or refining financial models. R offers a comprehensive suite of packages tailored for data mining tasks.

This instructor-led, live training session Sweden (online or onsite) targets data analysts looking 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 pivotal role in modern business. This course emphasizes the development of practical, hands-on data analysis skills, enabling participants 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 Sweden (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 utilized, open-source environment for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language for students. It encompasses language fundamentals, libraries, and advanced concepts, along with practical data analytics and graphing techniques using real-world data.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on exercises

This instructor-led, live training in Sweden (online or onsite) is designed for beginner-level professionals who aim to master the fundamentals of R and learn how to effectively work with data.

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

• Navigate the R programming environment and the RStudio interface.
• Import, manipulate, and explore datasets utilizing R commands and packages.
• Conduct basic statistical analysis and summarize data.
• Create visualizations using both base R and ggplot2.
• Efficiently manage workspaces, scripts, and packages.

This instructor-led, live training in Sweden (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 representation. It is increasingly utilized by managers and data analysts within both corporate environments and academic institutions. R offers an extensive range of packages tailored for data mining tasks.

This live, instructor-led training in Sweden (available online or onsite) is tailored for data scientists who wish to utilize Python and R for KNIME programming.

By the conclusion 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 is estimated to comprise over 90% of all existing data, with a significant portion existing as text. Sources such as blog posts, tweets, social media platforms, and other digital publications continuously contribute to this expanding volume of information.

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

Upon completion of this training, participants will be equipped to prepare datasets of varying sizes from disparate sources and apply appropriate algorithms to analyze and report on their significance.

Format of the Course

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

R is a free, open-source programming language designed for statistical computing, data analysis, and graphics. Its user base among managers and data analysts in both corporate and academic settings is expanding. R offers a broad range of packages tailored for data mining.

Target Audience

Course Format

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

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

The Tidyverse comprises a suite of versatile R packages designed for cleaning, processing, modeling, and visualizing data. Key packages include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R language
• Beginners in data analysis and data visualization

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

• Perform data analysis and create visually compelling charts
• Draw meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Transform processed data into informative line plots, bar charts, histograms, and more
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files