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Module 1: Introduction to R
Module 2: Data Structures in R
Module 3: Working with Data in R
Module 4: Data Manipulation in R
Module 5: Data Visualisations in R
Module 6: Statistics in R
Module 7: Machine Learning
The Data Science with R Training Course is designed for professionals, analysts, and individuals who are interested in acquiring skills and knowledge in data analysis, visualisation, and modelling using the R programming language. This course is beneficial for various professionals, including:
There are no formal prerequisites for attending this Data Science with R Course.
Data Science and the R programming language collaborate seamlessly to dissect and manipulate data. R serves as the preferred programming language for Data Scientists, enabling them to preprocess data, construct predictive models, perform statistical analyses, and craft insightful data visualisations. This training equips individuals with the skills to leverage the R language effectively, transforming raw data into valuable insights and actionable recommendations.
Mastering Data Science with R enables effective data preprocessing, statistical analysis, and predictive modelling. This proficiency is especially valuable for Data Scientists, Analysts, and Researchers working with complex datasets. The versatility of R empowers professionals to extract meaningful insights and contribute to data-driven decision-making in various industries, making it an essential skill set for career advancement.
The Knowledge Academy's 2-day Data Science with R Training Course delivers comprehensive knowledge of R programming and its mastery. Delegates will delve into working with vectors, lists, metrics, arrays, and data frames, in addition to acquiring expertise in data manipulation, the art of refining and adapting data for enhanced analytical capabilities.
Course Objectives
Upon completion of this Data Science with R Training, delegates will possess comprehensive knowledge and mastery of the R programming language. They will be equipped with the skills to preprocess data, construct predictive models, and perform statistical analyses, enhancing their Data Science capabilities.
Why choose us
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Science with R Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Join a scheduled class with a live instructor and other delegates.
Engage in activities, and communicate with your trainer and peers.
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Data Science with R Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
Easy to understand and extremely knowledgeable in the subject
Nice practical trrainning given by host.
Excellent Trainer
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Flexible delivery methods are available depending on your learning style.
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
We may not have any package deals available including this course. If you enquire or give us a call on +852 2592 5349 and speak to our training experts, we should be able to help you with your requirements.
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