Delivered either online or onsite, our instructor-led live R Language training programs provide practical, hands-on exposure to key aspects of the language. Participants explore R programming fundamentals, advanced techniques, and the application of R in Data Analysis and Data Visualization. The curriculum emphasizes real-world scenarios and solutions relevant to sectors such as Finance, Banking, and Insurance. NobleProg’s R courses cater to varying skill levels, from beginners to advanced users, and are widely favored by organizations looking to adopt R for building Machine Learning and Deep Learning applications.
R training is offered in two modes: “online live training” and “onsite live training.” Online live training, also known as “remote live training,” is conducted through an interactive, remote desktop session. Onsite live training takes place directly at customer locations in Milan or at NobleProg’s corporate training centers in Milan.
NobleProg – Your Local Training Provider
Milan
NobleProg Milan, Via Scarlatti 4, Milan, italy, 20124
The meeting center is close to central part of the city and near the central station. It is easy to rech the place with the underground. In that neighbourhood there are many shops and restaurants.
This instructor-led training on Milan explores the fundamentals of R Markdown for creating dynamic, reproducible reports. It empowers R users to build code-chunk documents, render outputs to HTML, PDF, and Word, and utilize parameterized reports, themes, and LaTeX styling to produce professional, automated documentation.
This instructor-led, live training in Milan (online or onsite) is designed for data analysts and professionals eager to master the integration of Tableau, Python, R, and SQL for effective data visualization and analysis.
Upon completion of this training, participants will be able to:
Conduct data analysis using Python, R, and SQL.
Derive actionable insights through data visualization in Tableau.
Support business operations with data-driven decision-making.
This instructor-led, live training in Milan (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.
This live Shiny training in Milan equips intermediate R users with the skills to build interactive web apps without relying on JavaScript. You will learn to design responsive UIs, embed data visualizations, and deploy applications effectively. Develop practical proficiency in creating dynamic dashboards and reports with efficiency.
This instructor-led, live training in Milan (online or onsite) is designed for intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.
By the end of this training, participants will be able to:
Effectively use Stata for data analysis and statistical modeling.
Compare Stata’s functionalities with SPSS and R.
Integrate Stata with R for seamless statistical computing.
This practical course in Milan focuses on the fundamentals of R, data preparation, and visualization using libraries such as ggplot2. Over the span of three days, participants will delve into statistical modeling, regression analysis, and machine learning methods, including clustering and classification, utilizing real-world data.
This practical Milan course establishes core data analytics competencies utilizing Excel, VBA, and R. Participants will master data manipulation, visualization, and machine learning methods to predict trends, streamline processes, and drive evidence-based business decisions.
This instructor-led, live training in Milan (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.
Delve into the core principles of Big Data programming using R, a language highly regarded in the financial sector. This course in Milan guides you through setting up your environment, leveraging MPI for parallel processing, and working with distributed matrices. You will gain the skills to manage large-scale datasets, execute distributed regression analyses, and implement Monte Carlo methods with greater efficiency.
Provided as an instructor-led live training in Milan (online or on-site), this course targets beginner-level data analysts looking to utilize R programming for data manipulation, basic analytical tasks, and the creation of insightful visualizations.
By the conclusion of this training, participants will be able to:
This instructor-led, live training (available online or onsite) is tailored for data analysts who wish to use Stata and R to analyze big data for statistical purposes.
By the end of this training, participants will be able to:
Create statistical models for predicting key variables and events of interest.
Generate descriptive visualizations, summary tables, frequencies, and more.
Manage and structure large databases to prepare for data analysis.
This Milan course enables R users to construct web applications using Shiny, bypassing the need for extensive HTML or CSS expertise. It delves into core concepts, interface customization, advanced reactive capabilities, and data distribution, offering practical insights for building dynamic and interactive data applications.
This instructor-led, live training in Milan (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.
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Testimonials (6)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.
Pranay - Lotterywest
Course - Building Web Applications in R with Shiny
Very practical
Deenan - Vodacom
Course - Data and Analytics - from the ground up
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
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