Shiny, R and HTML: Merging Data Science and Web Development 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 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.

R is a free, open-source programming language designed for statistical computing, data analysis, and visualization. Its adoption is expanding among corporate managers, data analysts, and academic researchers. Additionally, R has gained a following among statisticians, engineers, and scientists who may lack formal programming training but appreciate its user-friendly nature. This growing popularity stems from the increasing reliance on data mining to achieve diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports these efforts through a comprehensive ecosystem of packages tailored for data mining.

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 designed for beginner-level professionals who wish to master the fundamentals of R and learn how to work with data effectively.

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 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.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphical visualization. It is increasingly utilized by managers and data analysts within both corporate and academic sectors. R offers a vast array of packages for data mining.

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

Target Audience

Course Format

Upon completing this training, participants will be capable of:

In this instructor-led, live training session, attendees will acquire the skills to manipulate and visualize data using the tools provided within the Tidyverse.

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

• Individuals new to the R programming language
• Those new to data analysis and visualization techniques

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

• Execute data analysis and produce compelling visualizations
• Derive meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Convert processed data into informative line charts, bar charts, histograms, and other plots
• Import and filter data from diverse sources, such as Excel, CSV, and SPSS files