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Program overview
Online
On-site
Hybrid
Data Science with R programming
Build a strong foundation in data science using R by mastering data analysis, visualization, and statistical modeling techniques. Learn how to build predictive models, apply machine learning, and communicate data driven insights effectively to support informed business decisions.
Duration:
4 days
Level:
Advanced
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1500+ users onboarded
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
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.
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- 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.
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
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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.
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Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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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?
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?
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?
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.