Shiny App Web Development with R Training Course

This instructor-led, live training in Czech Republic (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 Czech Republic (online or onsite) is aimed at business analysts who wish to automate trading using 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 denotes the category of solutions designed for storing and processing extensive data sets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R is a widely used programming language within the financial sector.

This instructor-led, live training in Czech Republic (online or onsite) targets beginner-level data analysts who wish to utilize R programming for data manipulation, basic data analysis, and creating compelling visualizations to extract 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 graphics. It is increasingly utilized by managers and data analysts within both corporate environments and academic institutions. Additionally, R has gained a significant following among statisticians, engineers, and scientists who, despite lacking formal computer programming training, appreciate its user-friendly nature. This popularity stems from the growing demand for data mining techniques to achieve objectives such as setting competitive prices, accelerating drug discovery, and optimizing financial models. R offers a broad spectrum of packages tailored for data mining.

This instructor-led, live training in Czech Republic (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.

In today's business landscape, data analytics serves as an essential asset. This course concentrates on building practical skills for hands-on data analysis. Our goal is to empower participants to provide evidence-based answers to key questions:

What has occurred?

• Processing and analyzing data
• Creating insightful data visualizations

What is projected to happen?

• Forecasting future performance
• Assessing the accuracy of forecasts

What should occur?

• Leveraging data to drive evidence-based business decisions
• Optimizing operational processes

This instructor-led, live training in Czech Republic (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 designed for statistical computing, data analytics, and data visualization. This course provides an introduction to the R programming language for students. It covers the fundamentals of the language, essential libraries, and advanced concepts, including practical applications of data analytics and graphing using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lecture-based instruction combined with hands-on exercises

This instructor-led live training in Czech Republic (online or onsite) targets 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 Czech Republic (online or onsite) targets intermediate-level data analysts and business professionals aiming to conduct 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 develop 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 visual graphics. It is increasingly adopted by managers and data analysts within both corporate environments and academic institutions. R boasts a comprehensive ecosystem of packages tailored for data mining.

This instructor-led, live training in Czech Republic (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 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

Audience

Format of the course

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

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Beginners to the R language
• Beginners to data analysis and data visualization

• Part lecture, part discussion, exercises and heavy hands-on practice

• Perform data analysis and create appealing visualizations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarize data to answer exploratory questions
• Turn processed data into informative line plots, bar plots, histograms
• Import and filter data from diverse data sources, including Excel, CSV, and SPSS files