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One of the leading programming languages, R is widely used for statistics and data modelling. Its popularity can be attributed to the fact that is that it is sophisticated, extremely versatile and flexible and can be applied in a variety of fields, including data science, engineering, business, medicine and pure science. R allows data analysis using a variety of statistical techniques, such as linear and nonlinear modelling, classical statistical tests, time-series analysis, to name a few; and also has capabilities to produce a range of graphics including charts, plots, graphs and so on that can be used for presentations.
Our course offers an expert's-eye overview of how these advanced tasks fit together in R as a whole along with practical examples. Through hands on exercises and in-depth coaching you will get a thorough understanding of R, its data structures, data processing functions and data summarizing with R.
What You Will Learn
While there are no prerequisites, participants would benefit if they have elementary programming knowledge.
Who should Attend?
This course is for you if:
Instructor-led Interactive Classroom Experience
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Curriculum Designed by Experts
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training.
Learn through Doing
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied in the real world.
Mentored by Industry Leaders
Our support team will guide and assist you whenever you require help.
Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.
Instructor led Live Training
Module1- Intro to R Programming
Learning Objectives: Get an idea of what is R. Why R is so popular tool among Data Scientists.
Hands-on: No hands-on
Module2- Installing and Loading Libraries
Learning Objectives: Learn how to install R and its components.
Learn how to install and load libraries
Learn frequently used libraries
Hands-on: Know how to install R, R Studio and other libraries
Module3- Data Structures in R
Learning Objectives: Learn about data structures in R
Hands-on: Write R Code to understand and implement R Data Structures
Module4- Control & Loop Statements in R
Learning Objectives: Learn all about loops and control statements in R
Hands-on: Write R Code to implement loop and control structures in R
Module5- Functions in R
Learning Objectives: Learn how to write custom functions, nested functions and functions with arguments
Hands-on: Write R Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required
Module6- Loop Functions in R
Learning Objectives: Lean all about loop functions available in R which are efficient and can be written with single command
Hands-on: Write R Code to implement various types of apply functions and understand their usage
Module7- String Manipulation & Regular Expression in R
Learning Objectives: Learn all about string manipulations and regular expressions. The functions can be extremely useful for text or unstructured data manipulations
Hands-on: Write R Code for string manipulation and handle regular expression
Module8- Working with Data in R
Learning Objectives: Learn how to import data from various sources in R. How to write files from R. How to connect to various databases from R
Hands-on: Write R Code to read and write data from/to R. Read data not only from CSV files but also using direct connection to various databases
Module9- Querying, Filtering, and Summarizing
Learning Objectives: Learn how to apply various data processing functions in R. These operations can be useful to describe data and perform certain operations on it. This will help you to take necessary steps for further analysis
Learning Objectives: Learn basic data visualization techniques to build charts using R
Hands-on: Write R code to perform basic visualization of the data
Module11- Case Study
Learning Objectives: Case Study to explore R
Hands-on: Case Study to explore R
Covers Data Manipulation and Analysis
Extremely satisfied. The program was structured in a creative manner, practising what it preached, with plenty of examples and exercises. Facilitator kept training interesting. Knowledgehut Support Team provided excellent service! Thank You!Would surely recommend the training to others.Attended workshop in November 2017
Attended a 2 day weekend course by Knowledgehut for the CSM certification. The instructor was very knowledgeable and engaging. Excellent experience.Attended workshop in April 2018
The CSPO Training was awesome and great. The trainer Anderson made all the concepts look so easy and simple. Using his past experience as examples to explain various scenarios was a plus. Moreover, it was an active session with a lot of participant involvement which not only made it interactive but interesting as well. Would definitely recommend this Training.Attended workshop in July 2018
Great course. An interesting and interactive session to better understand how to succeed in formulating a business case and how to present it effectively.Attended workshop in May 2018
Glassdoor has ranked Data Science as the best job in America 3 years in a row, with a median base salary of $110000 and 4,524 job openings. This demand is only increasing year on year, making it the fastest growing tech employment area today. Jobs that require knowledge of data science include Data scientist, Analytics Manager, Database Administrator, Data Engineer, Business Intelligence Developer etc. This course will help you learn the R programming language which is one of the most commonly used languages in the Data Science space.
By the end of this course, you would have gained knowledge on the use of R language to build applications on data statistics. This will help you land jobs as data analysts.
There are no restrictions but participants would benefit if they have elementary programming knowledge.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are R experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor