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Introduction to R Programming for Data Science & Analytics (TTDS6683)

4.6 out of 5 rating Last updated 13/12/2024   English

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Duration

3 Days

18 CPD hours

Overview

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)

Description

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.

From Excel or SAS to R (Optional)
  • Common challenges with Excel / SAS
  • The R Environment
  • Hello, R
Working with R Studio
  • Rshiny
  • Rpresentations
  • Rmarkdown
R Basics
  • Simple Math with R
  • Working with Vectors
  • Functions
  • Comments and Code Structure
  • Using Packages
Vectors
  • Vector Properties
  • Creating, Combining, and Iteratorating
  • Passing and Returning Vectors in Functions
  • Logical Vectors
Reading and Writing
  • Text Manipulation
  • Factors
Dates
  • Working with Dates
  • Date Formats and formatting
  • Time Manipulation and Operations
Multiple Dimensions
  • Adding a second dimension
  • Indices and named rows and columns in a Matrix
  • Matrix calculation
  • n-Dimensional Arrays
  • Data Frames
  • Lists
R in Data Science
  • AI Grouping Theory
  • K-means
  • Linear Regression
  • Logistic Regression
  • Elastic Net
R with MadLib
  • Importing and Exporting static Data (CSV, Excel)
  • Using Libraries with CRAN
  • K-means with Madlib
  • Regression with Madlib
  • Other libraries
Data Visualization
  • Powerful Data through Visualization: Communicating the Message
  • Techniques in Data Visualization
  • Data Visualization Tools
  • Examples
Databases, Data lakes & Additional Topics
  • Building connections to Databases and Data lakes, for both Python and R (using Hive server)
  • Methods to query data from database and data lakes, for both Python and R
  • Creating and passing macro variables. Specifically, R sprint, paste, paste0, and paste3 (not sure of the equivalent in Python).
R with Hadoop
  • Overview of Hadoop
  • Overview of Distributed Databases
  • Overview of Pig
  • Overview of Mahout
  • Exploiting Hadoop clusters with R
  • Hadoop, Mahout, and R
Business Rule Systems
  • Rule Systems in the Enterprise
  • Enterprise Service Busses
  • Drools & Using R with Drools
R with AWS
  • Best practices for working with AWS (completely outside of R and Python)
Additional course details:

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.

FAQ for the Introduction to R Programming for Data Science & Analytics (TTDS6683) Course

Available Delivery Options for the Introduction to R Programming for Data Science & Analytics (TTDS6683) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Introduction to R Programming for Data Science & Analytics (TTDS6683) training provide?

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.

What is the correct audience for the Introduction to R Programming for Data Science & Analytics (TTDS6683) training?

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.

Do you provide training for the Introduction to R Programming for Data Science & Analytics (TTDS6683).

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 Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Introduction to R Programming for Data Science & Analytics (TTDS6683) program.

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.

Why are Nexus Human the best provider for the Introduction to R Programming for Data Science & Analytics (TTDS6683)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Introduction to R Programming for Data Science & Analytics (TTDS6683) training.

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.

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Training Insurance Included!

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.

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