Shiny, R and HTML: Merging Data Science and Web Development Training Course

This instructor-led, live training in Bulgaria (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 Bulgaria (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 the storage and processing of large-scale datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar initiatives, many of which are released as open-source software. R has become a widely adopted programming language within the financial sector.

This instructor-led, live training in Bulgaria (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 graphical visualization. It is increasingly utilized by managers and data analysts within both corporate environments and academic institutions. Additionally, R has gained traction among statisticians, engineers, and scientists who, despite lacking formal programming expertise, appreciate its user-friendly interface. This widespread adoption is driven by the growing importance of data mining in achieving objectives such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers an extensive array of packages tailored for data mining tasks.

This instructor-led, live training in Bulgaria (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 vital asset for modern businesses. This course concentrates on building practical skills for hands-on data analysis, empowering 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 Bulgaria (online or onsite) targets 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 graphics. This course provides students with an introduction to the R programming language. It covers fundamental language concepts, libraries, and advanced techniques. Participants will learn advanced data analytics and visualization using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on Practice

This instructor-led, live training in Bulgaria (online or onsite) is tailored for beginner-level professionals who aim to master the core principles of R and learn how to effectively handle data.

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

• Navigate the R programming environment and the RStudio interface with confidence.
• Import, manipulate, and explore datasets using R commands and packages.
• Execute 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 Bulgaria (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 data analysts and managers across both corporate and academic environments. R offers a comprehensive ecosystem of packages tailored for data mining.

This instructor-led live training in Bulgaria (online or on-site) 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

Course Format

Upon completion of this training, participants will be equipped with the skills to:

This instructor-led live session guides attendees through the process of manipulating and visualizing data using the tools provided by the Tidyverse.

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

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

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

• Conduct 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 plots, bar plots, and histograms
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files