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

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

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

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

Big Data refers to technologies designed for storing and processing large-scale datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R is a widely used programming language in the financial sector.

This instructor-led, live training in South Korea (online or onsite) targets beginner-level data analysts who intend to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations to gain 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 representation. It is increasingly utilized by managers and data analysts within both corporate and academic sectors. Additionally, R has gained popularity among statisticians, engineers, and scientists without extensive programming backgrounds due to its user-friendly nature. This widespread adoption stems from the growing reliance on data mining to achieve various objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers a comprehensive suite of packages tailored for data mining tasks.

This instructor-led, live training in South Korea (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 has become an essential asset for modern businesses. This course emphasizes the development of practical, hands-on data analysis skills. The primary objective is to equip participants with the ability to provide evidence-based responses to key business inquiries:

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 South Korea (online or onsite) targets beginner-level professionals seeking to clean and analyze data, perform 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 popular, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering its fundamental concepts, essential libraries, and advanced topics. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures combined with hands-on practice

This instructor-led, live training in South Korea (online or onsite) is designed for beginner-level professionals seeking to master R fundamentals and effective data handling techniques.

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

• Navigate the R programming environment and the RStudio interface.
• Import, manipulate, and explore datasets using 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 South Korea (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 an open-source, free programming language designed for statistical computing, data analysis, and data visualization. It is increasingly adopted by managers and data analysts within both corporate environments and academic institutions. R offers a rich ecosystem of packages tailored for data mining and various analytical tasks.

This instructor-led, live training in South Korea (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.

Unstructured data is estimated to constitute over 90% of all data, with a significant portion appearing in textual formats. This volume continues to expand rapidly through blog posts, tweets, social media interactions, and other digital content.

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 and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the meaning within text. Data samples can be provided in various languages depending on customer needs.

Upon completion of this training, participants will be capable of preparing datasets of varying sizes from diverse sources and applying appropriate algorithms to analyze and report on their significance.

Course Format

• A blend of lectures, discussions, and intensive hands-on practice, supplemented by occasional assessments to evaluate understanding.

Audience

Course Format

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

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