Pricing is per delegate, giving you huge savings over the cost of individual courses.
4.6 out of 5 rating Last updated 14/11/2024 English
Interested in available dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.
3 Days
18 CPD hours
This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on R and related tools. Working in a hands-on learning environment, led by our expert practitioner, students will learn R and its ecosystem, and where it’s a better a tool than Excel.
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore:
R Language and Mathematics
How to work with R Vectors
How to read and write data from files, and how to categorize data in factors
How to work with Dates and perform Date math
How to work with multiple dimensions and DataFrame essentials
Essential Data Science and how to use R with it
Visualization in R
How R can be used in Spark (Optional / Overview)
R is a functional programming environment for business analysts and data scientists. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they've pushed Excel past its limits. This course is a comprehensive hands-on look at the common scenarios encountered in analysis and presents practical solutions. In this course, special attention is paid to data science theory including AI grouping theory. A discussion of using R with AI libraries like Madlib are included.
Nexus Humans Introduction to R Programming for Data Science & Analytics (TTDS6683) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.
This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to R Programming for Data Science & Analytics (TTDS6683) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.The 3 day. Introduction to R Programming for Data Science & Analytics (TTDS6683) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.
This course, geared for Data Analyst and Data Scientists who need to learn the essentials of how to program in R. Incoming students should have prior experience working with Excel or SAS, and should know the basics of SQL. Students should have intermediate-level experience in their field, and prior experience working with programming languages.
Yes we provide corporate training, dedicated training and closed classes for the Introduction to R Programming for Data Science & Analytics (TTDS6683). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.
The Introduction to R Programming for Data Science & Analytics (TTDS6683) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.
Yes, the discount code PENPAL5 is currently available for the Introduction to R Programming for Data Science & Analytics (TTDS6683) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.
When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.
Great course yesterday and can’t give enough amazing feedback for John. I’ve never had a teacher hold attention of a class from start to finish, but yesterday he did this.
Vistra
Alan delivered the training in an easy to understand and pleasant manner which was broken down into manageable chunks with an appropriate number of breaks to give folk time away from their laptops and screens. It is never easy to do 2 days of training on a fairly in-depth subject involving Software even in a classroom environment and remaining focused and engaged so doing it remotely adds another level of complexity, but I have to say that personally this was one of the best Training Events that I have attended for some years. I have gained so much knowledge of MS Project and it will certainly make my job easier going forward.
A large part of what I gained has to be credited to Alan’s manner and delivery and I should be grateful if you could pass on my thanks to him.
Also, the support, together with joining instructions & training literature etc from Nexus Human has been excellent – thank you for that. I intend feeding that back to our People and ICT Teams too
December 2023
Kerry, Ireland
ITC Group
Dublin
Nexus Human Classroom Student
Excellent interaction and answered all of my questions. Looking forward to being able to apply some of the tips and features learned today which hopefully should have real impact on some of the more time consuming tasks currently encountered.
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