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Data Analytics with R Training

Learners: 231   |   Duration: 40 Hours   |   Reviews 1 ( 5.0 )

GoLogica's Data Analytics with R class helps you learn R programming so that you can do powerful data analysis. Take part in live classes, work on real projects, and better your job with data analysis. Sign up now to learn by doing and get a certification known all over the world.

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About Data Analytics with R

GoLogica's R Certification Training for Data Analytics includes concepts and methods from many areas like math, stats, information science, and computer science. In this course, you are learning about things like learning from machines, sorting stuff out, group analysis, and finding valuable information in data. Also, discuss databases and how to display it all visually. The training teaches you the whole thing about Data Analytics and Data Science. You will learn how to look at and share various types of data. You'll use tools like Grouping, Relationships between things, and Decision Trees in Machine Learning for better understanding.

R and related tools are used in Data Analytics to analyze and understand information. R is a strong open-source language and environment for statistics computing and graphics. Used a lot in data checking, stats, and graphs.Towards the end of the course, we'll discuss real situations where Data Analytics is used in various areas to make your learning better.

The R programming language is designed to manage data during the data analysis process. In this part of the course, you will learn how R can help you organize and clean your data using functions and other methods. You'll also learn about data frames and how to use them in R. We'll revisit the issue of data bias and explore how R can help deal with it.

GoLogica's training approach combines theoretical knowledge with practical experience. Our expert instructors guide you through real-world scenarios, ensuring you acquire practical skills.

Learn the basics of R, including understanding its functions and data types. Learn how to work with vectors and utilize advanced functions like sorting. Get ability in general programming features such as "if-else" and "for loop" commands. These skills will enable you to handle, analyze, and visualize data.

Our goal is to help you build a skill set that encompasses R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and creating reproducible documents with RStudio.

Welcome to GoLogica's complete course on Data Analytics with R In this program, our goal is to provide you with the essential skills to understand and make sense of data using the powerful R programming language. Whether you're just starting out or already have experience, this course is designed for everyone. The course covers the basics and advanced methods in data analytics with R, ensuring a strong basis for all learners.

After completing this certificate program, you'll be ready to apply for beginner-level jobs as a dataanalyst. No previous experience is needed.

By the end of this course, you will:

  • Learn why using the R programming language is beneficial
  • Understand how to use R for your analysis with R Studio
  • Explore fundamental concepts in programming using R
  • Develop knowledge about data frames and how they work in R
  • Explore ways to create visualizations in R 

Highlights of the GoLogica course:

  • Live Online Classes: Join classes where you can talk to the instructor and other students. This makes learning fun and interactive
  • 24/7 Support: Get help whenever you need it during your training. If you're ever stuck or confused, there's always someone to assist you
  • Practical Trainingwith Experts: Use hands-on assignments and real-world projects to understand important concepts
  • Flexible Timing: Choose class times that suit your schedule. Learning should be easy for everyone, and we want to make it convenient for you
  • Guidance from Industry Experts: Get advice and tips from people who know a lot about the subject and have experience working in the field
  • Free Study Material: Use PowerPoint slides or PDFs for learning at no extra cost. You have all you need to study without spending extra money
  • Certification Opportunity: When you finish the course, you get a certificate. This shows that you are good at what you learned, and it's recognition of your skills

What will you learn in the Data Analytics with R course?

After you finish the course, you will learn:

  • Introduced to terms like Business Analytics, Data, and Information
  • Learn the basics of data analysis
  • Understand the connection between Business Analytics and R
  • Explain simple ideas in R programming, like functions, variables, data types, pipes, and vectors
  • Learn different ways to make pictures and graphs in R
  • Create impactful visualizations of data
  • Learn how to organize content using basic techniques in R Markdown to make it structured and important
  • Develop strong skills in analyzing data
  • How to perform operations in R including sorting, data wrangling using dplyr, and making plots
  • Foundational R programming concepts such as data types, vector arithmetic, and indexing
  • Perform basic tasks in R using the command line
  • Understand how to use R Studio and different graphical user interfaces (GUIs)
  • Apply your skills to real-world projects

Who should take this Data Analytics with R course?

  • Data Analysts:Those who analyze data
  • Business Analysts:People who study business data
  • Data Scientists:People who want to be Data Scientists
  • IT Professionals:People working in IT
  • Developers aspiring to be R programmers
  • Analytics Managers:who are leading a team of analysts
  • New graduates and students who want to learn about Data Analytics with R

What are the prerequisites for taking Data Analytics with R Training?

To register for the Data Analytics with R training, it's beneficial to have a basic understanding of computer programming languages. Knowing some basic programming concepts is helpful, and while having familiarity with statistics is good, it's not necessary.

Why should you go for Data Analytics with R Training?

In-Demand Skills: R is one of the most popular data analytics tools owing to its being open-source, its flexibility, packages, and community

Career Opportunities: Acquiring R programming skills opens up diverse career opportunities in fields such as data science, analytics, research, and more.

Global Recognition: Completing Data Analytics with R Programming training often comes with a certification that is globally recognized. This certification adds credibility to your skills and enhances your marketability.

Hands-On Learning: The training typically includes practical, hands-on experience through real-world projects. This approach ensures that learners not only understand theoretical concepts but also gain practical skills applicable in the workplace.

Powerful Visualization: R provides robust tools for data visualization, helping you create compelling charts and graphs to communicate insights effectively.

Flexible Learning: Training programs often offer flexible schedules, allowing learners to balance their studies with other commitments.

Continuous Access to Resources: Access to learning materials and resources is available 24/7, allowing learners to revisit and reinforce concepts at their own pace.


Salary as per Market

People who are good at Data Analytics with R earn good salaries. On average, they make between Rs. 10,00, 000 and 12,00,000 per year. How much they earn depends on their experience, where they work, and the industry.

 

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Data Analytics with R Course Content

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
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
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
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
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
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
Introduction to Data Mining
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms
K-means Clustering
Association Rule Mining
User Based Collaborative Filtering (UBCF)
Item Based Collaborative Filtering (IBCF)
Linear Regression
Logistic Regression
Analysis of Variance (Anova) Technique
Sentiment Analysis: fetch, extract and mine live data
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

 

To become a master in Data Analytics with R?  

Modes of Training

Self-Paced Learning

  • Any time Access to high quality pre-recorded Self faced training videos
  • Learning Management System (LMS) Access
  • Access to self based training materials Developed by Experts

Online Instructor LEAD

  • Online Training by Certified Industry Experts with live session
  • 24X7 Online Assessment and Support
  • 24X7 Lab Access
  • Lifetime LMS Access
  • Fast-track / Regular / Weekend Batches

Corporate Solutions

  • Self-Placed E-Learning and / Or Online Instructor Lead
  • Learning Management System access
  • Enhanced reporting for individuals & teams
  • 24X7 Online Assessment and Support

Faq’s

Our trainers are Highly experienced in Oracle Aapps technical implementing real-time solutions on different Scenarios and Expert in their professionals.

We record each LIVE class session you undergo through this training and we will share the recordings of each session/class.

Trainer will Provide Detailed installation of required software through LMS to the students we support by providing Training and practical in real time experience with all utilities required for completely understanding of this Training.

Yes, there are some group discount are available only if group contain more than 2 Or more participates.

Basic Hard ware requirement is useful to install the Product

We provide Training in a Real Time Projects Oriented

Yes we will Schedule a Demo Session as per the student convenient by sharing LIVE Online Streaming access either through GoToMeeting or WebEx.

If you are enrolled in classes and you have paid fees, but want to cancel the registration for certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 15 days of prior request

As we are one of the Best Oracle Apps technical Online Training Provider we have customer throughout the world wide specially from UK, USA, UAE, Australia, Qatar, Singapore, New Zealand, India, Malaysia, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland Middle East Countries and other parts of the world

We are also located in USA Offering Oracle Apps Technical Online Training in Cities like New York, New jersey, Dallas, Seattle, Baltimore, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa Clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert.

we also have customers from UK, and also providing Oracle Apps technical training in London, Manchester, Birmingham, Edinburgh, Glasgow, Liverpool.

In India we have customer from Bangalore, Mysore, Hyderabad (Ameerpet), Visage, Chennai, Kolkata, Pune, Mumbai, Delhi, Jaipur, Ahmadabad, Kerala etc…

You can clarify your queries by dialing +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time

Data Analytics with R Course Certification

At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Oracle Apps Technical technology.

You will get certified in Oracle Apps Technical by clearing the online examination with a minimum score of 70%.

To help you prepare for a certification exam, we shall provide you a simulation exam and a practice exam.

 

Get ahead with GoLogica’s Certification  

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Reviews


puja. satyr

Exceptional Data Analytics with R Training at GoLogica. A comprehensive curriculum, expert instructors, and practical exercises make it a top-notch program. Highly recommended for aspiring data analysts.

Training Mode

Course Duration - 40 Hours

Hours - 1 Hour/ Day

Training Mode - Online Training

Course Duration - 40 Hours

Hours - 2Hours/Day

Training Mode - Online Training

Course Duration - 20 Hours

Hours - 4Hours/Day

Training Mode - Online Training

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