This course introduces you to the R programming language, offering hands-on experience in data analysis and visualisation. Designed for data science enthusiasts, the course provides practical insights to solve real-world challenges.
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R Programming
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Learn essential skills
Course overview
Master Data Science with R Programming
This 10-hour eLearning course equips learners with R programming skills. Discover data analysis techniques, create visualisations, and solve complex problems effectively. Get a comprehensive overview of business analytics and R, with the help of real-life projects and case studies.
Learning objectives
- Gain a basic understanding of business analytics and statistical concepts
- Install R, R-studio, and workspace setup
- Master R programming and understand how statements are executed
- Understand the data structure used in R
- Understand how to import/export data
- Define, understand and use the apply functions and DPYR functions
- Understand various statistical concepts and hypothesis testing
What you'll learn
Excel in R programming for data science, from data manipulation to creating impactful visualisations and solving practical challenges. Get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.
Data structures and visualisation
Learn about R data types, manipulating datasets, creating graphs and charts, building dashboards, and best practices for presenting data effectively.
R programming skills
Learn to use the various graphics in R for data visualisation, hypothesis testing methods to drive business decisions, linear and non-linear regression models, and classification techniques for data analysis. Also become proficient in the various association rules and the Apriori algorithm, clustering methods including K-means, DBSCAN, and hierarchical clustering.
Real-world project-based application of learning
The data science certification course includes ten real-life, industry-based projects — successful evaluation of one of them is a part of the certification eligibility criteria. There are also a further four more projects included you to practice.
What's included
- 12 months’ online access to 10 hours of eLearning content
- Hands-on industry-based projects
- Simulation test papers for self-assessment
FAQs
This data science training course teaches you various data analytics techniques using the R programming language. You will also master data exploration and visualisation, as well as predictive and descriptive analytics techniques.
What is R?
R is a programming language and free software environment. R is used for statistical computing, data analysis, and creating data visualisations.
Do I need prior programming experience for this course?
No, this course is beginner-friendly and suitable for all skill levels. We recommend this R course particularly for professionals looking for a career switch into data science and analytics.
How long do I have access to the course?
You will have 12 months’ access to the self-paced eLearning materials.
What is eLearning?
Do you prefer to learn at your own pace? Our interactive and engaging eLearning is the perfect self-study option, allowing you to move through resources and activities at a time that suits you best.
What our customers say
"Flexible and very convenient as you can adapt your progress pace to your needs."
Julian Portillo Aguilar, ILX learner
"Videos are to the point and help summarize the most important information required for the exam. The learning material, FAQs and other access to resources is very convenient. I recommend them."
Maria Solomon, ILX learner
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