Advanced R Programming Training Course

This course delves into advanced subjects in R programming.

This instructor-led, live training in Uzbekistan (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 is a term used to describe solutions designed for storing and processing extensive data sets. Initially developed by Google, these Big Data solutions have since evolved and inspired numerous similar projects, many of which are available as open-source. R is a widely used programming language in the financial sector.

This instructor-led, live training in Uzbekistan (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 an open-source programming language that is freely available for statistical computing, data analysis, and graphical representation. It is increasingly being adopted by managers and data analysts in both corporate and academic settings. R has also gained a following among statisticians, engineers, and scientists who lack formal computer programming skills due to its user-friendly nature. The growing popularity of R can be attributed to the rising importance of data mining for various objectives, such as setting advertising prices, accelerating drug discovery, or refining financial models. R offers a comprehensive range of packages specifically designed for data mining.

This instructor-led, live training in Uzbekistan (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 plays a vital role in modern business. Throughout the course, we will concentrate on developing practical skills for hands-on data analysis. The goal is to help participants provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• creating informative data visualizations

What will happen?

• predicting future performance
• assessing the accuracy of forecasts

What should happen?

• transforming data into evidence-based business decisions
• enhancing processes for optimal efficiency

This instructor-led, live training in Uzbekistan (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 for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering its fundamental concepts, libraries, and advanced topics. It also delves into advanced data analytics and graphing using real-world data.

Audience

Developers and Data Analysts

Duration

3 days

Format

Lectures and Practical Sessions

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at 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 Uzbekistan (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 programming language that is freely available for statistical computing, data analysis, and graphical representation. It is increasingly being adopted by both corporate and academic professionals. R offers a vast array of packages that facilitate data mining.

This instructor-led, live training in Uzbekistan (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 makes up more than 90 percent of all data, with a significant portion being text. Blog posts, tweets, social media content, and other digital publications continuously contribute to this expanding body of data.

This instructor-led, live course focuses on extracting insights and meaning from this vast amount of data. By using the R Language and Natural Language Processing (NLP) libraries, we integrate concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples can be provided in various languages according to customer requirements.

By the end of this training, participants will be able to prepare data sets, both large and small, from diverse sources, and then apply the appropriate algorithms to analyze and report on their significance.

Format of the Course

• Combination of lectures, discussions, extensive hands-on practice, and occasional tests to assess 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 designed for cleaning, processing, modeling, and visualizing data. Some of these packages include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

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

• The course combines lectures with discussions, exercises, and extensive hands-on practice.

• Perform data analysis and create compelling visualizations
• Draw meaningful insights from various datasets of sample data
• Filter, sort, and summarize data to answer exploratory questions
• Transform processed data into informative line plots, bar plots, and histograms
• Import and filter data from a variety of sources, including Excel, CSV, and SPSS files