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Data Analytics with R Programming Certification Training

CertHippo Data Analytics with R course will teach you R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis, and utilizing R Studio for real-life case studies on Retail and Social Media. This training is appropriate for both experts and novices. You will learn about supervised and unsupervised Machine Learning techniques, as well as how to implement them in R. This programmer provides a conceptual grasp of data manipulation, visualization, mining, and other related ideas to help you get started in your Data Analytics profession.

Why This Course

R is a popular data analytics tool due to its open-source nature, flexibility, packages, and community.

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

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According to Glassdoor, the median yearly income for a Data Analyst competent in R is $110,000, plus a $6,000 annual bonus.

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Instructor-led live online classes

Data Analytics with R Programming Certification Training

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

$589  $471

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Why Enroll In Course?

Data Analytics employment are predicted to increase by 30% every year. Advanced Analytics knowledge combined with R programming abilities brings up a plethora of options for Data Analyst job seekers. This Data Analytics with R training course from CertHippo 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 clear

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

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:

  • Introduction to terms Business Intelligence, Business Analytics, Data, Information

  • How information hierarchy can be improved/introduced

  • Understanding Business Analytics and R

  • Knowledge about the R language, its community, and its ecosystem

  • Understand the use of 'R' in the industry

  • Compare R with other software in analytics

  • Install R and the packages useful for the course

  • Perform basic operations in R using the command line

  • Learn the use of IDE R Studio and Various GUI

  • Use the ‘R help’ feature in R

  • Knowledge about the worldwide R community collaboration

Hands-on:

  • Install R and related packages

  • R operations using command line

 Skills You will Learn:

  • IDE R-studio

  • R operations

Topics:

  • Various kinds of data types in R and their appropriate uses

  • Built-in functions in R like seq(), cbind (), rbind(), merge()

  • Knowledge of the various subsetting methods

  • Summarize data by using functions like: str(), class(), length(), nrow(), ncol()

  • Use of functions like head(), tail() for inspecting data

  • Indulge in a class activity to summarize data

  • dplyr package to perform SQL join in R

 Hands-on:

  • Data Types in R

  • R Functions: seq(), cbind (), rbind(), merge(). str(), class(), length(), nrow(), ncol() head(), tail()

  • SQL joins in R

Skills You will Learn:

  • R Functions

  • dplyr package in R

Topics:

  • Steps involved in Data Cleaning

  • Functions used in Data Inspection

  • Tackling the problems faced during Data Cleaning

  • Uses of the functions like grepl(), grep(), sub(), Coerce the data, uses of the apply() functions

 Hands-on:

  • Data Cleaning in R

  • Data Inspection in R

  • Data Coercion in R

Skills You will Learn:

  • R Functions: grepl(), grep(), sub(), apply()

Topics:

  • Import data from spreadsheets and text files into R

  • Import data from other statistical formats like sas7bdat and spss, packages

  • Installation used for database import

  • Connect to RDBMS from R using ODBC

  • Basic SQL queries in R

  • Basics of Web Scraping

Hands-on:

  • Database import

  • Connect to RDBMS using R

  • SQL queries in R

  • Web Scraping in R

Skills You will Learn:

  • Database import

  • R SQL queries

  • Web Scraping

Topics:

  • Exploratory Data Analysis(EDA)

  • Implementation of EDA on various datasets

  • Boxplots

  • Understanding the cor() in R

  • EDA functions like summarize(), llist()

  • Multiple packages in R for data analysis

  • Fancy plots like the Segment plot, and HC plot in R

Hands-on:

  • EDA using R

  • cor() in R

  • Plotting fancy graphs using R

Skills You will Learn:

  • EDA

  • Plotting Graphs

Topics:

  • Data Visualization

  • Graphical functions present in R

  • Plot various graphs like tableplot, histogram, and Boxplot

  • Customizing Graphical Parameters to improvise plots

  • Understanding GUIs like Deducer and R Commander

  • Introduction to Spatial Analysis

Hands-on:

  • Graphical Functions in R

  • Customizing Plots using R

  • Spatial Analysis

Skills You will Learn:

  • Data Visualization

  • GUIs

  • Spatial Analysis

Topics:

  • Introduction to Data Mining

  • Understanding Machine Learning

  • Supervised and Unsupervised Machine Learning Algorithms

  • K-means Clustering

Hands-on:

  • Data Mining

  • Machine Learning Algorithms: Supervised Unsupervised

Skills You will Learn:

  • Data Mining

  • Machine Learning Algorithms

Topics:

  • Association Rule Mining

  • User Based Collaborative Filtering (UBCF)

  • Item Based Collaborative Filtering (IBCF)

 Hands-on:

  • Association Rule Mining

  • Recommender Engines: User Based Collaborative Filtering (UBCF) Item Based Collaborative Filtering (IBCF)

Skills You will Learn:

  • Association Rules

  • Recommender Engines

Topics:

  • Linear Regression

  • Logistic Regression

 Hands-on:

  • Linear Regression algorithm

  • Logistic Regression algorithm

Skills You will Learn:

  • Regression Techniques in R

Topics:

  • Analysis of Variance (Anova) Technique

  • Sentiment Analysis: fetch, extract and mine live data from Twitter

Hands-on:

  • Anova

  • Sentiment Analysis

Skills You will Learn:

  • Anova Technique

  • Sentiment Analysis on Twitter data

Topics:

  • Decision Tree

  • Entropy

  • Gini Index

  • Pruning and Information Gain

  • Algorithm for creating Decision Trees

  • Bagging of Regression and Classification Trees

  • Random Forest

  • Working on Random Forest

  • Features of Random Forest, among others

 Hands-on:

  • Decision Tree algorithm

  • Working of Random Forest

Skills You will Learn:

  • ML Algorithms: Decision Tree and Random Forest

Topics:

  • Analyze census data to predict insights on the income of the people based on the factors like age, education, work class, and occupation using Decision Trees

  • Logistic Regression and Random Forest

  • Analyze the Sentiment of Twitter data, where the data to be analyzed is streamed live from Twitter, and sentiment analysis is performed on the same

 Hands-on:

  • Decision Trees

  • Logistic Regression

  • Random Forest

  • Sentiment Analysis

Skills You will Learn:

  • Data Analysis using R

  • ML Algorithms: Decision Tree, Logistic Regression and Random Forest

  • Sentiment Analysis

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Certification

To obtain the CertHippo Data Analytics with R Programming course completion certificate, you must first ensure the following:

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

  • Evaluation and completion of the quizzes and projects listed.

  • You must complete the course and earn a minimum score of 80% in the assessment.

Data analytics is a rapidly expanding field that is extremely beneficial to numerous sectors, including aviation, transportation, and medical sciences. It is a highly sought-after career path, yet it can be quite competitive. Data Analysts who want to become certified may set themselves apart from the competition by attending boot camps, submitting code repositories, and gaining hands-on experience.

Beginners interested in Data Analytics should become acquainted with various sorts of data and hone their fundamental programming abilities in R. Students can then go on to studying Data Visualization, Decision Making, Machine Learning, Data Science, 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 Analytics 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 Analyst. It is one of the most useful entry-level certificates for anyone interested in pursuing a career in Data Analytics.

Our Data Analytics with R certification course is designed to help applicants acquire skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Data Analyst, Data Scientist, R Programmer, Data Engineer, Quantitative Analyst, and other key job titles are listed here.

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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."

To assist you in this attempt, we have included a résumé building feature in your LMS. You will now be able to generate a winning CV in just three simple steps. You will have limitless access to these templates across all jobs and designations. Just log in to your LMS and select the "make your résumé" option.

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.

All of our instructors are working professionals with at least 10-12 years of relevant experience in diverse disciplines. These are subject matter experts who have been certified by CertHippo to provide online training so that participants have a positive learning experience.

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

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Course Description

About Data Analytics with R Training

CertHippo Data Analytics 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 complete Data Analytics and Data Science life cycle, analyze and display diverse datasets, and apply various Machine Learning Algorithms such as Clustering, Regression, Decision Trees, and Random Forest. To enrich your learning experience, we will examine numerous practical use cases of Data Analytics in several areas at the end of this Data Analytics with R online course.

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

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

  • Understand concepts around Business Intelligence and Business Analytics

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

  • Apply various supervised machine learning techniques

  • Perform Analysis of Variance (ANOVA)

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

  • Use various packages in R to create fancy plots

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

CertHippo provides the finest online course for Data Analytics using R. Join today in our Data Analytics with R Programming programmer and learn from industry titans.

Why learn Data Analytics with R?

The Data Analytics with R programmer certifies you in learning the most popular analytics tool. "R" is the most chosen programmer for Data Scientists because to its statistical power, graphical capability, low cost, and wide range of packages.

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

  • Programmers, Developers, Technical Leads

  • Developers aspiring to be R programmers

  • 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 Analytics with R Training?

The fundamental grasp of Computer Programming Languages is required for CertHippo Data Analytics with R course. Basics of Data Analysis performed using any data analysis programmer such as SAS/R will be advantageous. But, you will be supplied with gratis "R Fundamentals" as a self-paced course if you enroll in the Data Analytics with R Programming certification course.

Why Learn R for Data Analytics?

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 analytics. The rising search patterns also show that it is a must-have for Data Analytics specialists.

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

Your system should have a minimum 4GB RAM and i3 processor or above.

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

You will need to install R set-up or R-Studio on your PC to complete your practicals. The LMS includes step-by-step installation directions for configuring the environment on various operating systems. If you have any questions, the 24 hour support crew will be happy to help.

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

You will need to install R set-up or R-Studio on your PC to complete your practical. The LMS includes step-by-step installation directions for configuring the environment on various operating systems. If you have any questions, the 24 hour support crew will be happy to help.

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Selenium Certification

To obtain the CertHippo Data Analytics with R Programming course completion certificate, you must first ensure the following:

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

  • Evaluation and completion of the quizzes and projects listed.

  • You must complete the course and earn a minimum score of 80% in the assessment.

Data analytics is a rapidly expanding field that is extremely beneficial to numerous sectors, including aviation, transportation, and medical sciences. It is a highly sought-after career path, yet it can be quite competitive. Data Analysts who want to become certified may set themselves apart from the competition by attending boot camps, submitting code repositories, and gaining hands-on experience.

Beginners interested in Data Analytics should become acquainted with various sorts of data and hone their fundamental programming abilities in R. Students can then go on to studying Data Visualization, Decision Making, Machine Learning, Data Science, 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 Analytics 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 Analyst. It is one of the most useful entry-level certificates for anyone interested in pursuing a career in Data Analytics.

Our Data Analytics with R certification course is designed to help applicants acquire skills and assess their knowledge. After completing this certification, you will have access to a wide range of work opportunities. Data Analyst, Data Scientist, R Programmer, Data Engineer, Quantitative Analyst, and other key job titles are listed here.

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