Data Science with R Programming Certification Training

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Data Science with R Programming Certification Training

EduCerts 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.

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

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Introduction to Data Science with R

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

Data Extraction, Wrangling and Exploration

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

Introduction to Machine Learning

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

Classification Techniques

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

Data Visualization in R

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

Recommender Engines

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

Text Mining

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

Time Series

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

Deep Learning

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

Free Career Counselling

We are happy to help you 24/7

Certification

What do I need to do to unlock CertHippo Data Science with R Programming Certification Training certificate?

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.

Is Data Science a good career option?

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.

How can beginners learn Data Science with R?

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.

What is the value of Data Science with R Certification?

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.

What are the different job roles available after Data Science with R Certification?

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.

Online Training FAQs

What if I miss a live Data Science with R Programming class?

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.

Will I Get Placement Assistance once the Data Science with R training is over?

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.

What is the most recommended learning method after completing the Data Science with R Programming certification course?

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

Can I attend a Data Science with R Demo Session before Enrolment?

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.

Who are the instructors at CertHippo R Programming online course?

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.

How do I become Data Science with R Programmer?

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.

What is R Programming used for?

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.

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. EduCerts 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

EduCerts 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 EduCerts 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.