Data Science with R programming

Build a data-driven culture and analyse insights for risk-averse decision-making with R programming

1500+ users onboarded

Program Overview

R is a widely used open-source programming language in data science. It offers a rich library of statistical and graphical techniques, making it a powerful tool for data analysis and visualization. It combines statistical analysis, machine learning, and data visualisation to extract insights and knowledge from complex data sets.

With the increasing demand for data-driven decision-making, Data Science with R Programming has become a popular field of study.

Uptut specialises in delivering customised and comprehensive training programs that cater to your specific needs and requirements. Data Science with R Programming professional training is designed to provide hands-on training to your team in statistical analysis, data visualization, and machine learning using the R programming language.

Our experienced trainers have solved industry-level problems in Data Science with R Programming and are skilled at imparting this knowledge effectively to professionals across levels. We strive to ensure theat our training programs are engaging, experiential and provide practical solutions that can be implemented in real-world scenarios.

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Training Objectives

  • Gain a comprehensive understanding of data science concepts and techniques.
  • Learn how to use R programming language for data science tasks, including data cleaning, manipulation, and visualization.
  • Get trained in statistical modeling and machine learning techniques using R.
  • Get equipped with skills to build predictive models and perform data-driven decision-making.
  • Understand how to use R packages and tools for data analysis and visualization.
  • Learn how to communicate data science insights and findings to stakeholders effectively.

Core training modules

  • Introduction to R Programming
  • Basics of the R Programming language, Variables, data types, and operators, R programming environment and basic commands.
  • Data Science Fundamentals
  • Introduction to data science and Its Importance, Descriptive statistics and data visualization techniques, Probability distributions and hypothesis testing.
  • Data Wrangling
  • Data importing and exporting using R, Data cleaning and manipulation, Data transformation and reshaping.
  • Machine Learning with R
  • Understanding the fundamentals of machine learning, Supervised and unsupervised learning, Regression analysis and classification algorithms.
  • Data Science with Big Data
  • Introduction to big data and its challenges, Working with large datasets using R, Distributed computing with R.
  • Data Science Project
  • Developing a complete data science project from scratch, Understanding the project lifecycle and project management techniques, Project presentation and documentation.
  • Time Series Analysis
  • Introduction to Time Series Analysis, Moving Averages and Exponential Smoothing, Autoregressive Integrated Moving Average (ARIMA) models, Seasonality and Decomposition, Time Series Forecasting using R.
  • Text Analytics
  • Introduction to Text Analytics, Text Pre-processing Techniques, Text Classification and Clustering, Sentiment Analysis, Text Mining using R.
  • Machine Learning with R
  • Introduction to Machine Learning, Supervised and Unsupervised Learning, Classification and Regression Algorithms, Model Evaluation Techniques, Feature Selection and Dimensionality Reduction, Model Tuning and Optimization.
  • Data Visualization with R
  • Introduction to Data Visualization, Data Visualization Principles and Best Practices, Basic and Advanced Charts using ggplot2, Interactive Visualizations with Shiny, Dashboarding with R Markdown.
  • Big Data Analytics with R
  • Introduction to Big Data Analytics, Hadoop Ecosystem and Distributed Computing, Apache Spark and SparkR, Distributed Data Processing with dplyr, Large Scale Machine Learning with sparklyr.
  • Advanced Topics
  • Web Scrapping, R Packages and Libraries for Data Science, Parallel Computing and Performance Tuning, R Integration with Other Tools and Platforms, R Markdown and Reproducible Research, Best Practices for Data Science Projects.

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Hands-on Experience with Tools

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Opt-in Certifications
AWS,, DASA & more
100% Live
on-site/online training
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program



Customising curriculum and projects to prepare your team for challenges within your industry



Supplementing training with consulting support to ensure implementation in real projects


Why Data Science with R Programming for Your Business?

  • Gain valuable insights and make data-driven decisions for  improved efficiency, productivity, and profitability
  • Empower your team to utilize data and make informed decisions. 
  • Handle large datasets, manipulate data easily, and produce high-quality graphics and visualizations.

Who will Benefit from this Training?

  • Business professionals
  • Data analysts
  • Data scientists
  • Anyone interested in learning about data analysis
  • Managers who need to make data-driven decisions

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
Faq PlusFaq Minus

With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
Faq PlusFaq Minus

Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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