Install R studio. Explore R language fundamentals, including basic syntax, variables, and types
Learn about data structures that R can handle. Create and manipulate regular R lists, tuple etc.
Learn about control and loops statements
Learn to write user defined functions and object oriented way of writing classes and objects.
Use functions and import packages
Learn to apply data processing functions in R for describing and performing operations on data.
Learn to Summarize the data which helps you to take necessary steps for further analysis
While there are no prerequisites, participants would benefit if they have elementary programming knowledge.
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Learning Objectives:
Get an idea of what R is and why it is so popular among Data Scientists.
Topics Covered:
Hands-on: No hands-on
Learning Objectives:
In this module you will learn to install R and its components, install and load R libraries and learn about the frequently used libraries.
Topics Covered:
Hands-on:
Know how to install R, R Studio and other libraries.
Learning Objectives:
Learn about data structures in R.
Topics Covered:
Hands-on:
Write R Code to understand and implement R Data Structures.
Learning Objectives:
Learn all about loops and control statements in R.
Topics Covered:
Hands-on:
Write R Code to implement loop and control structures in R.
Learning Objectives:
Learn how to write custom functions, nested functions and functions with arguments.
Topics Covered:
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
Learning Objectives:
Learn all about loop functions available in R which are efficient and can be written with a single command.
Topics Covered:
Hands-on:
Write R Code to implement various types of apply functions and understand their usage.
Learning Objectives:
Learn all about string manipulations and regular expressions. The functions can be extremely useful for text or unstructured data manipulations.
Topics Covered:
Hands-on:
Write R Code for string manipulation and handle regular expression.
Learning Objectives:
Learn how to import data from various sources in R and how to write files from R. Also learn how to connect to various databases from R.
Topics Covered:
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.
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.
Topics Covered:
Hands-on:
Learning Objectives:
Learn basic data visualization techniques to build charts using R.
Topics Covered:
Hands-on:
Write R code to perform basic visualization of the data
Learning Objectives:
Case Study to explore R.
Topics Covered:
Hands-on:
Case Study to explore R
Write R code to perform basic visualization of the data
KnowledgeHut is a great platform for beginners as well as experienced professionals who want to get into the data science field. Trainers are well experienced and participants are given detailed ideas and concepts.
Overall, the training session at KnowledgeHut was a great experience. I learnt many things. I especially appreciate the fact that KnowledgeHut offers so many modes of learning and I was able to choose what suited me best. My trainer covered all the topics with live examples. I'm glad that I invested in this training.
The instructor was very knowledgeable, the course was structured very well. I would like to sincerely thank the customer support team for extending their support at every step. They were always ready to help and smoothed out the whole process.
I would like to extend my appreciation for the support given throughout the training. My special thanks to the trainer for his dedication, and leading us through a difficult topic. KnowledgeHut is a great place to learn the skills that are coveted in the industry.
Knowledgehut is the best platform to gather new skills. Customer support here is very responsive. The trainer was very well experienced and helped me in clearing the doubts clearly with examples.
The course material was designed very well. It was one of the best workshops I have ever attended in my career. Knowledgehut is a great place to learn new skills. The certificate I received after my course helped me get a great job offer. The training session was really worth investing.
Trainer really was helpful and completed the syllabus covering each and every concept with examples on time. Knowledgehut staff was friendly and open to all questions.
This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.
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 of the use of R language to build applications on data statistics. This will help you land jobs as data analysts.
Tools and Technologies used for this course are
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 canceled 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 a refund. Kindly go through our Refund Policy for more details: Refund Policy.
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 Refund Policy.
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
