Data Science with R Learners Point Training Institute

OVERVIEW: R is an open-source programming language that is widely used as a statistical software and data analysis tool. Data Science with R course aims to simplify the R programming language for professionals to understand concepts required for getting started in Data Science.

CAREER OPPORTUNITIES:

Market Trends:
Data Science is currently one of the top tech careers worldwide, with high–paying jobs in every country. As per Dice, postings on its platform for Data Science jobs have increased by 32% over the last year. With this ever-growing demand for the profession, Data Science is a lucrative career, and professionals with R skills have an edge in this competitive job market.

Salary Trends: R programming languages adds to the Data Science skills and are in high demand in the market. Data Science professionals with R skills are in high demand due to the increasing reliance of prominent technology companies on the R programming language. As per the survey by , the average salary of Data Science professionals with R skills is AED per annum in the UAE.

Demand and Opportunities: Data Science jobs are the most in-demand jobs across the globe as portrayed in the report from , which shows 29% increase in demand for data scientists over the year and a dramatic rise of 344% since 2013. Due to this explosive rise in demand for Data science professionals, R skills are seen as a valuable addition to resumes.

COURSE OUTLINE:

Introduction to Data Science
  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is Artificial Intelligence?
  • Data Analytics and its types
Introduction to R
  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Review
R Packages
  • Data Types
  • Variable Vectors
  • Lists
  • Environment Setup
  • Array
  • Matrix
  • Data Frames
  • Factors
  • Loops
  • Functions
  • Packages
  • In-Built Datasets
  • R Basics
  • Importing data
  • Manipulating data
  • Statistics Basics
  • Error metrics
  • Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Machine Learning using R
KEY TAKEAWAYS:

Candidates who successfully complete the Data Science with R course will be able to:
  • Develop a working understanding of basic R concepts such as data types, vectors, and indexing
  • Discover the usage of R packages
  • Build statistical models using R
  • Implement Data Science concepts using R
  • Utilize R to perform a variety of operations, including sorting and data wrangling
ACCREDITATION:

Our Data Science with R course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

Being one of the foremost providers of the Data Science with R course, we have profound knowledge and vast experience in the field.
The following are the key benefits offered by our Data Science with R course:
  • Our Data Science with R course is designed based on real-world scenarios, formulating and evaluating practical requirements
  • Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
  • We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
  • To enhance the learning experience of our students we provide organized group sessions and integrated training modules
  • Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

This course is no longer available.

Data Science with R Learners Point Training Institute
Price: AED 3,500
AED 4,023
Instructor led live virtual classroom online. Classes may be individual or in group.

    Course details

    OVERVIEW: R is an open-source programming language that is widely used as a statistical software and data analysis tool. Data Science with R course aims to simplify the R programming language for professionals to understand concepts required for getting started in Data Science.

    CAREER OPPORTUNITIES:

    Market Trends:
    Data Science is currently one of the top tech careers worldwide, with high–paying jobs in every country. As per Dice, postings on its platform for Data Science jobs have increased by 32% over the last year. With this ever-growing demand for the profession, Data Science is a lucrative career, and professionals with R skills have an edge in this competitive job market.

    Salary Trends: R programming languages adds to the Data Science skills and are in high demand in the market. Data Science professionals with R skills are in high demand due to the increasing reliance of prominent technology companies on the R programming language. As per the survey by , the average salary of Data Science professionals with R skills is AED per annum in the UAE.

    Demand and Opportunities: Data Science jobs are the most in-demand jobs across the globe as portrayed in the report from , which shows 29% increase in demand for data scientists over the year and a dramatic rise of 344% since 2013. Due to this explosive rise in demand for Data science professionals, R skills are seen as a valuable addition to resumes.

    COURSE OUTLINE:

    Introduction to Data Science
    • What is Data Science?
    • What is Machine Learning?
    • What is Deep Learning?
    • What is Artificial Intelligence?
    • Data Analytics and its types
    Introduction to R
    • What is R?
    • Why R?
    • Installing R
    • R environment
    • How to get help in R
    • R Studio Review
    R Packages
    • Data Types
    • Variable Vectors
    • Lists
    • Environment Setup
    • Array
    • Matrix
    • Data Frames
    • Factors
    • Loops
    • Functions
    • Packages
    • In-Built Datasets
    • R Basics
    • Importing data
    • Manipulating data
    • Statistics Basics
    • Error metrics
    • Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Machine Learning using R
    KEY TAKEAWAYS:

    Candidates who successfully complete the Data Science with R course will be able to:
    • Develop a working understanding of basic R concepts such as data types, vectors, and indexing
    • Discover the usage of R packages
    • Build statistical models using R
    • Implement Data Science concepts using R
    • Utilize R to perform a variety of operations, including sorting and data wrangling
    ACCREDITATION:

    Our Data Science with R course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

    ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

    WHY LEARNER’S POINT:

    Being one of the foremost providers of the Data Science with R course, we have profound knowledge and vast experience in the field.
    The following are the key benefits offered by our Data Science with R course:
    • Our Data Science with R course is designed based on real-world scenarios, formulating and evaluating practical requirements
    • Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
    • We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
    • To enhance the learning experience of our students we provide organized group sessions and integrated training modules
    • Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations
    Updated on 22 August, 2024

    Eligibility / Requirements

    ELIGIBILITY: This course is for anyone seeking to acquire knowledge on foundational R programming concepts with a focus on Data Science methods. Candidates interested to enroll in Data Science with R course require no prior knowledge of Machine Learning or Data Science, however, a basic knowledge of maths, statistics, and coding would be an added advantage.

    Job roles this course is suitable for:

    Data Science Principal , Data Modeller , Data Scientist Etos

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