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Data Science with R Programming Certification Training

CertHippo Data Science with R certification course can help you build experience in Machine Learning Algorithms such as K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R programming. This training is suitable for both experts and novices. Throughout this course, you will apply real-world use-cases from the media, healthcare, social media, aviation, and human resources industries. This Data Science with R programmer includes a conceptual grasp of Statistics, Time Series, Text Mining, an introduction to Deep Learning, and other key ideas to help you get started in your Data Science career.

Why This Course

According to the US Bureau of Labor Statistics, there will be approximately 11.5 million additional Data Science positions by 2026.

"R" is the most chosen programme for Data Scientists because to its statistical power, graphical capability, low cost, and extensive range of packages.

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According to ZipRecruiter.com, the median yearly income for an experienced Data Scientist is $162,800, plus a $6,000 annual bonus.

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Instructor-led live online classes

Data Science with R Programming Certification Training Course

Instructor-led DevOps live online Training (Weekday/ Weekend)

$685  $620

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Why Enroll In Course?

Data Science employment are predicted to increase by 30% every year. Data Science knowledge combined with R programming abilities brings up a plethora of prospects for Data Science career seekers. Edureka's Data Science with R training course will teach you the fundamental ideas from the ground up, allowing you to start your ideal job in this field.

Training Features

Live Interactive Learning

  World-Class Instructors

  Expert-Led Mentoring Sessions

  Instant doubt clearing

Lifetime Access

  Course Access Never Expires

  Free Access to Future Updates

  Unlimited Access to Course Content

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

Hands-On Project Based Learning

  Industry-Relevant Projects

  Course Demo Dataset & Files

  Quizzes & Assignments

Industry Recognized Certification

  CertHippo Training Certificate

  Graded Performance Certificate

  Certificate of Completion

About your AWS Course

AWS Solutions Architect Course Skills Covered

Managing Security

Designing Data Storage Solutions

Monitoring Cloud Solutions

Designing Resilient AWS Solutions

AWS Cloud Cost Optimization

Designing Identity Solutions

Course Curriculum

Topics:

  • What is Data Science?

  • What does Data Science involve?

  • Era of Data Science

  • Business Intelligence vs Data Science

  • Life cycle of Data Science

  • Tools of Data Science

  • Introduction to Big Data and Hadoop

  • Introduction to R

  • Introduction to Spark

  • Introduction to Machine Learning

Hands-on:

  • Data Science Tools

  • Big Data with Hadoop and Spark

Skills You will Learn:

  • Data Science with R

  • Hadoop

  • Spark

  • Machine Learning

Topics:

  • What is Statistical Inference?

  • Terminologies of Statistics

  • Measures of Centers

  • Measures of Spread

  • Probability

  • Normal Distribution

  • Binary Distribution

 Hands-on:

  • Statistical Techniques: Measures of Center Measures of Spread

  • Probability Concepts

Skills You will Learn:

  • Statistical Foundations

  • Probability Distributions

Topics:

  • Data Analysis Pipeline

  • What is Data Extraction

  • Types of Data

  • Raw and Processed Data

  • Data Wrangling

  • Exploratory Data Analysis

  • Visualization of Data

 Hands-on:

  • Loading different types of dataset in R

  • Arranging the data

  • Plotting the graphs

 Skills You will Learn:

  • Data Extraction

  • EDA

  • Data Visualization

Topics:

  • What is Machine Learning?

  • Machine Learning Use-Cases

  • Machine Learning Process Flow

  • Machine Learning Categories

  • Supervised Learning algorithm: Linear Regression and Logistic Regression

 Hands-on:

  • Implementing Linear Regression model in R

  • Implementing Logistic Regression model in R

Skills You will Learn:

  • Machine Learning Process Flow

  • Linear Regression model implementation

  • Logistic Regression model implementation

Topics:

  • What are classification and its use cases?

  • What is Decision Tree?

  • Algorithm for Decision Tree Induction

  • Creating a Perfect Decision Tree

  • Confusion Matrix

  • What is Random Forest?

  • What is Naive Bayes?

  • Support Vector Machine: Classification

Hands-on:

  • Implementing Decision Tree model in R

  • Implementing Linear Random Forest in R

  • Implementing Naive Bayes model in R

  • Implementing Support Vector Machine in R

 Skills You will Learn:

  • Classification ML models implementation

Topics:

  • What is Clustering & its use cases

  • What is K-means Clustering?

  • What is C-means Clustering?

  • What is Canopy Clustering?

  • What is Hierarchical Clustering?

 Hands-on:

  • Implementing K-means Clustering in R

  • Implementing C-means Clustering in R

  • Implementing Hierarchical Clustering in R

Skills You will Learn:

  • Unsupervised ML: Clustering models implementation

Topics:

  • What are Association Rules & its use cases?

  • What is the Recommendation Engine & it’s working?

  • Types of Recommendations

  • User-Based Recommendation

  • Item-Based Recommendation

  • Difference: User-Based and Item-Based Recommendation

  • Recommendation use cases

 Hands-on:

  • Implementing Association Rules in R

  • Building a Recommendation Engine in R

 Skills You will Learn:

  • Association Rule Mining

  • User-Based and Item-Based Recommendation

Topics:

  • The concepts of text-mining

  • Use cases

  • Text Mining Algorithms

  • Quantifying text

  • TF-IDF

  • Beyond TF-IDF

 Hands-on:

  • Implementing Bag of Words approach in R

  • Implementing Sentiment Analysis on Twitter Data using R

 Skills You will Learn:

  • Text Mining Algorithms

  • Sentiment Analysis

Topics:

  • What is Time Series data?

  • Time Series variables

  • Different components of Time Series data

  • Visualize the data to identify Time Series Components

  • Implement ARIMA model for forecasting

  • Exponential smoothing models

  • Identifying different time series scenario based on which different Exponential Smoothing model can be applied

  • Implement respective ETS model for forecasting

 Hands-on:

  • Visualizing and formatting Time Series data

  • Plotting decomposed Time Series data plot

  • Applying ARIMA and ETS model for Time Series Forecasting

  • Forecasting for given Time period

 Skills You will Learn:

  • Time Series Modelling

Topics:

  • Reinforced Learning

  • Reinforcement learning Process Flow

  • Reinforced Learning Use cases

  • Deep Learning

  • Biological Neural Networks

  • Understand Artificial Neural Networks

  • Building an Artificial Neural Network

  • How ANN works

  • Important Terminologies of ANN’s

Hands-on:

  • Working of ANNs

 Skills You will Learn:

  • Reinforcement learning Process Flow

  • Building Artificial Neural Networks

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Certification

To obtain Certhippo Data Science with R Programming course completion certificate, you must meet the following requirements:

  • Completely participate in this Data Science with R Certification Course.

  • Evaluation and completion of the quizzes and projects listed.

Data Science is currently one of the most in-demand, profitable, and fastest-growing fields in computer science. It is continually expanding and growing, and it may be used to a variety of sectors, including aviation, transportation, and medical sciences. It is a highly sought-after career path, yet it can be quite competitive. Data Scientists who want to get certified may set themselves apart from the competitors by attending boot camps, submitting code repositories, and gaining hands-on experience.

Beginners interested in Data Science should familiarize themselves with essential mathematics, probability, and statistics, as well as polish their basic programming abilities in R. Learners can then on to studying Machine Learning principles, Data Analysis, Visualization, and how to analyze massive volumes of complicated data using R. CertHippo offers free articles and YouTube videos to assist you in mastering these ideas and approaches.

The need for people proficient in Data Science and R Programming is increasing, and there are several lucrative career opportunities and positions available in IT businesses, making this an excellent moment for candidates to enroll and get a certification. Because of the numerous career opportunities and high demand, becoming certified is a fantastic way to distinguish yourself as a Data Scientist. It is one of the most useful entry-level certificates for anyone interested in pursuing a career in Data Science.

Our Data Science with R certification course is intended to enhance skills and assess students' expertise. With the completion of this qualification, you will have access to a wide range of work opportunities. Some of the most essential job titles include Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, Quantitative Analyst, and so on.

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Online Training FAQs

You will never be late for a lecture. You can select one of two options:

  • View the recorded session of the class available in your LMS.

  • You can attend the missed session, in any other live batch.

We have included a resume creation feature in your LMS to assist you in this attempt. You may now design a winning CV in just three simple steps. You will have unrestricted access to these templates across all roles and designations. All you have to do is sign in to your LMS and select the "make your resume" option.

After finishing the Data Science with R Course, you may like to pursue the Data Scientist Course.

To maintain Quality Standards, we have a restricted number of participants in a live session. As a result, participation in a live class without enrollment is not feasible. But, you may listen to a sample class recording to get a good idea of how the lessons are run, the quality of the teachers, and the degree of engagement in the class.

CertHippo instructors are all industry practitioners with at least 10-12 years of relevant IT experience. These are subject matter experts who have been educated by CertHippo to provide an excellent learning experience.

Education in IT, Computer Science, or a related discipline is required to become a R programmer. After that, you can seek a R certification to have a more in-depth knowledge.

You can give us a CALL at +1 302 956 2015 (US) OR email at info@certhippo.com

The R programming language is used to clean statistical computing images, as well as to analyze and show data. Enrolling in a Data Science with R course will help you to learn more about R and its applications.

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Course Description

About Data Science with R Training

Data science is defined as a "concept to unite statistics, data analysis, and their associated approaches" in order to "understand and analyze actual phenomena" using data. CertHippo Data Science with R Certification Training employs techniques and theories drawn from a variety of fields within the broad areas of mathematics, statistics, information science, and computer science, including machine learning, classification, cluster analysis, data mining, databases, and visualization. This course will teach you how to grasp the full Data Science life cycle, analyze and display diverse datasets, and apply various Machine Learning Algorithms including K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.To enrich your learning experience, we will examine several practical use cases of Data Science in several areas at the end of this Data Science with R online course.

What are the objectives of our Data Science with R Training?

You will be able to do the following after completing this Data Science with R Programming Certification course:

  • Understand the concepts and life-cycle of Data Science

  • Apply various supervised machine learning techniques

  • Learn how and where to use ML algorithms such as Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc.

  • Explore Recommendation Systems with functions like Association Rule Mining,, user-based collaborative filtering and Item-based collaborative filtering among others

  • Use various packages in R to create fancy plots

  • Visualize and format Time Series data

  • Understand Artificial Neural Networks

  • Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights

CertHippo provides the best online Data Science with R course. Join today in our Data Science with R Programming programmer to learn from industry titans.

What are the skills that you will be learning with our Data Science using R Training?

Data Science Training can assist you in becoming a Data Scientist Expert. It will sharpen your abilities by assisting you in understanding and analyzing actual occurrences using data, as well as providing the necessary hands-on experience for solving real-time industry-based tasks.


Our skilled professors will train you to do the following throughout this Data Science course:

  • Gain insight into the 'Roles' played by a Data Scientist

  • Analyze several types of data using R

  • Describe the Data Science Life Cycle

  • Work with different data formats like XML, CSV, etc.

  • Learn tools and techniques for Data Transformation

  • Discuss Data Mining techniques and their implementation

  • Analyze data using Machine Learning algorithms in R

  • Explain Time Series and it’s related concepts

  • Perform Text Mining and Sentimental analyses on text data

  • Gain insight into Data Visualization and Optimization techniques

  • Understand the concepts of Deep Learning

Who should go for this Data Science with R online course?

  • Programmers, Developers, Technical Leads

  • Developers aspiring to be a ‘Machine Learning Engineer.'

  • Analytics Managers who are leading a team of analysts

  • Business Analysts who want to understand Machine

  • Learning (ML) Techniques

  • Information Architects who want to gain expertise in

  • Professionals who want to design automatic predictive models

What are the prerequisites for this Data Science with R Training?

The fundamental grasp of Computer Programming Languages is required for CertHippo Data Science with R course. Nevertheless, you will be supplied with gratis "R Fundamentals" as a self-paced course if you enroll in the Data Science with R Programming certification course.

Why Learn R for Data Science?

R is one of the most commonly used, popular, and powerful open-source languages, with extensive libraries that give interactive visuals and make data visualization and representation simple to study. For almost a decade, it has been used to conduct simple and complicated mathematical and statistical computations on data. R generates charts and visuals that are error-free. It remains a popular option among data scientists who create and utilize machine learning applications and other scientific calculations. It has also become the most popular language for data science. The rising search patterns also imply that it is a must-have for Data Science experts.

What are the system requirements for this Data Science with R Certification Training?

Your system should have at least 4GB of Memory and an i3 CPU or higher.

How will I execute the practical's in this Data Science with R Certification Training Course?

You will install the R programming IDE on your PC in order to carry out the practical's.

  • Download RStudio Desktop Open Source License from the Rstudio Official Website for free

  • Or, purchase the licensed Full- version of RStudio Desktop Commercial License


Your LMS will include full step-by-step installation directions to assist you in installing and configuring the needed environment. If you have any questions, the 24 hour support crew will be happy to help.

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Selenium Certification

To obtain Certhippo Data Science with R Programming course completion certificate, you must meet the following requirements:

  • Completely participate in this Data Science with R Certification Course.

  • Evaluation and completion of the quizzes and projects listed.

Data Science is currently one of the most in-demand, profitable, and fastest-growing fields in computer science. It is continually expanding and growing, and it may be used to a variety of sectors, including aviation, transportation, and medical sciences. It is a highly sought-after career path, yet it can be quite competitive. Data Scientists who want to get certified may set themselves apart from the competitors by attending boot camps, submitting code repositories, and gaining hands-on experience.

Beginners interested in Data Science should familiarize themselves with essential mathematics, probability, and statistics, as well as polish their basic programming abilities in R. Learners can then on to studying Machine Learning principles, Data Analysis, Visualization, and how to analyze massive volumes of complicated data using R. CertHippo offers free articles and YouTube videos to assist you in mastering these ideas and approaches.

The need for people proficient in Data Science and R Programming is increasing, and there are several lucrative career opportunities and positions available in IT businesses, making this an excellent moment for candidates to enroll and get a certification. Because of the numerous career opportunities and high demand, becoming certified is a fantastic way to distinguish yourself as a Data Scientist. It is one of the most useful entry-level certificates for anyone interested in pursuing a career in Data Science.

Our Data Science with R certification course is intended to enhance skills and assess students' expertise. With the completion of this qualification, you will have access to a wide range of work opportunities. Some of the most essential job titles include Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, Quantitative Analyst, and so on.

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