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DATA SCIENCE WITH R CERTIFICATION

Overview
Benefits
Curriculum
FAQs
Related Courses

Course Overview

Information Science was acquainted with comprehend organized and unstructured information in a superior manner; it consolidates information examination, measurements, AI and their related strategies. Jim Gray, a champ of the Turing grant, envisioned Data Science as the fourth worldview of science. According to Harvard Business Review, Data Science will make the most appealing occupations in the 21st Century. The idea, which has been showing up in the course of recent decades, is at present being utilized in business knowledge, business examination, prescient demonstrating, and measurements.


Course Key Features


    16 contact hours/PDUs. Real Life Industry Based Projects


    Lifetime Access To Self Paced Learning Case Studies & Simulation Tests


    Flexibility To choose classes.

Skills Covered


  • Business analytics

  • R programming and its packages

  • Data structures and data visualization

  • Apply functions and DPLYR function

Benefits

Designation

Annual Salary

Hiring Companies

3L
Min.
5L
Avg.
10L
Max.





Source : Indeed
5L
Min.
13L
Avg.
42L
Max.

Source : Indeed

Training Options

SELF-PACED LEARNING
  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • Lab access to practice live during sessions
  • Hands-on projects to perfect the skills learnt
  • Simulation test papers for self-assessment
  • 24x7 learner assistance and support
ONLINE BOOTCAMP
  • Everything in Self-Paced Learning, plus

  • 32 Hours of flexible access to online classes

  • Live, online classroom training by top instructors and practitioners.



CORPORATE TRAINING
  • Customized learning delivery model (self-paced and/or instructor-led)

  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support
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Course Curriculum

Lesson Lesson Name
1 Course Introduction
2 Business Analytics
3 Introduction to R Programming
4 Data Structures
5 Data Visualization
6 Statistics For Data Science - I
7 Statistics For Data Science - II
8 Regression Analysis
9 Classification
10 Clustering
11 Association

Course Training FAQs

R is a programming language and free software developed in 1993, made up of a collection of libraries architectured especially for data science. As a tool, R is considered to be clear and accessible.

Data Science is one of the popular career domains among professionals that offers high earning potential. It mostly comprises statistics and R is the bridging language of this domain and is widely used for data analysis. By learning R programming, you can enter the world of business analytics and data visualization. It is a must-have skill for all those aspiring to become a Data Scientist..

Anyone who is looking to get started in IT or willing to further their IT career should consider learning R. We at Simplilearn have compiled an extensive content for Data Science beginners, along with supporting blogs and YouTube videos to help you understand the Data Science basics and importance of R in the dynamic field of data science.

R and Python are the top languages that professionals learn to start a career in Data Science. Both languages are powerful and have their own pros and cons. So, depending on which language is used for data science projects in your organization and what can help you in the long run, you can make a choice..

Yes, Simplilearn’s training and course materials guarantee success with the Data Science with R certification exam.

You will need to download R from the CRAN website and RStudio for your operating system. These are both open source and the installation guidelines are presented in the R course curriculum.

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PGP in Data Science


Foundational

Live Online 1 Year
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PGP in Data Science and Business Analytics

Foundational

Live Online 1 Year
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