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Data Analytics with R Certification Training ( L001 )

4.5 + (25,859) Students Ratings

Data Analytics with R training course will help you to acquire R Programming language, Data Manipulation, develop data for analysis, Data visualization, Data Mining. In this course, you will come across various analytics tools and techniques. You will also learn about how to apply statistical measures for creating data visualizations.  Download Our Brochure

Course Price :

₹20,695
₹22,994
10%
off
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Live Instructor

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Self Paced

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Live Online Classes

All our Classes are Live Instrucotor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schdules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of Completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Training Schedule
Batch Start Date Days of Training Weekday/ Weekend Timings
03-Apr-2020 Available SAT & SUN (5 WEEKS) Weekend Batch 09:30 PM - 12:30 AM (EST)
 
 
 
 
 

Course Curriculum

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Learning Objectives - This module introduces you to some of the vital Buzzwords in R like Business Intelligence, Business Analytics, Data, and Information. You will learn how R plays a crucial role in solving complex analytical problems. Also, you will learn the use of 'R' in the industry. This module also helps you compare R with other software in analytics, installation of R and its packages.

Topics - Understand the keywords like Business Intelligence, Business Analytics, Data, Information, learn how information hierarchy can be improved/introduced, describe Business Analytics and R, have a knowledge about the R programming language, its community and ecosystem, understand the use of 'R' in the industry, compare R with other software in analytics, learn the installation of  R and the packages that are useful for the course, how to perform basic operations in R using command line, learn the use of IDE RStudio and Various GUI, use the ‘R help’ feature in R, have the knowledge about the worldwide R community collaboration.

Learning Objectives - This module starts with the basics of R programming like data types and functions. In this module, you will learn how to apply the 'join' function in SQL.

Topics - Data types in R and its uses, the built-in functions in R like: seq(), cbind (), rbind(), merge(), understand the different subsetting methods, understand the 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

Learning Objectives - This module starts with a sample of a dirty data set and performs Data Cleaning on it resulting in a data set, which is ready for any sort of analysis. This module helps in exploring and using the popular functions that are required to clean data in R.

 

Topics - learn the different steps involved in Data Cleaning, which functions are used in Data Inspection, understand addressing the problems faced during Data Cleaning, know the uses of the various functions like grepl(), grep(), sub(), Coerce the data, know the uses of the apply() functions.

Learning Objectives - This module helps you to understand the flexibility and robustness of R which can take-up data in a few varieties of formats, let it be a CSV file to the data scraped from a website. Also, about different data importing techniques in R.

Topics - How to import data into R through spreadsheets and text files, how to import data from other statistical formats like sas7bdat and spss, understand the packages installation used for database import, learn how to connect to RDBMS from R using ODBC and basic SQL queries in R, know the basics of Web Scraping.

Learning Objectives - This module helps you to understand the exploratory data analysis which is considered an important step in the analysis. Learn about the Exploratory Data Analysis is for seeing what the data can tell us beyond the formal modeling or hypothesis. Also, about the different tasks involved in a typical EDA process.

Topics - Know about the Exploratory Data Analysis(EDA), How to implement EDA on various datasets, Box Plots, whiskers of Boxplots. Know about the cor() in R, explain EDA functions like summarize(), list(), multiple packages in R for data analysis, learn the Fancy plots like the Segment plot, know about the HC plot in R.

Learning Objectives - This module helps you to understand that visualization is the USP of R. Also, the concepts of creating both simple and complex visualizations in R.

Topics - Introduction of Data Visualization, Explain graphical functions present in R, Learn how to plot various graphs like table plot, histogram, Boxplot, learn how to customize Graphical Parameters to modify plots, Explain GUIs like Deducer and R Commander, understand Spatial Analysis.

Learning Objectives - This module helps you to know about the various Machine Learning algorithms and the difference between two Machine learning types(supervised Learning and Unsupervised Learning type) In this module, We will also discuss the process involved in 'K-means Clustering', the various statistical measures you need to implement.

Topics - 

  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K-means Clustering.

Learning Objectives - This module helps you to know how to find the associations between many variables using the popular data mining technique called the "Association Rule Mining", and implement this association rule mining to predict buyers' next purchase. You will learn a new technique called "Collaborative Filtering" which can be used for recommendation purposes. In this module, Various real-time based scenarios are shown by using these techniques.

Topics - 

  • Association Rule Mining, 
  • User-Based Collaborative Filtering (UBCF)
  • Item Based Collaborative Filtering (IBCF)

Learning Objectives - This module helps to know the basics of  'Regression Techniques’. Linear and logistic regression is explained from the basics with relevant examples and by using two case studies it is implemented in R.

Topics - 

  • Linear Regression 
  • Logistic Regression.

Learning Objectives - This module lets you know about the Analysis of Variance (Anova) Technique. In this module, the algorithm and various aspects of Anova have been discussed. Also, know the deals with Sentiment Analysis and how we can fetch, how to extract live data from Twitter to find out the sentiment of the tweets.

Topics 

  • Anova
  • Sentiment Analysis.

Learning Objectives - This module helps you to learn about the concepts of Decision Trees and Random Forest. Understand the algorithm for the creation of trees and classification of decision trees and the different aspects like the Impurity function Gini Index, Pruning, Entropy, etc are extensively taught in this module. Detailed explanation with practical examples on the algorithm of Random Forests. Also, these concepts are implemented on a real-life data set.

Topics - Define Decision Tree, what are the 3 elements for classification of a Decision Tree, Entropy, Gini Index, Pruning and Information Gain, know about the bagging of Regression and Classification Trees, learn the concepts of Random Forest, know the working of Random Forest, what are the features of Random Forest, among others.

Learning Objectives - This module lets you understand the different concepts which are taught throughout the course and implement these concepts in a project.

Topics - Understand how to analyze the census data to predict insights on the income of the people, based on various factors like age, education, work-class, occupation by using Decision Trees, Logistic Regression and Random Forest. Understand how to analyze the Sentiment of Twitter data, where the data which has to be analyzed is streamed live from twitter and sentiment analysis is also performed on the same.

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Course Details

After the completion of the IQ Training’s Data Analytics with R course, you should be able to:

  1. Understand various concepts around Business Intelligence and Business Analytics
  2. Learn what are the recommended systems with functions like Association Rule Mining, user-based collaborative filtering and Item-based collaborative filtering among others
  3. Apply different supervised machine learning techniques.
  4. Perform Analysis of Variance (ANOVA)
  5. Learn where to use algorithms - Decision Trees, Support Vector Machines, Logistic Regression, Ensemble Techniques, etc
  6. Use different packages in R to create fancy plots
  7. Work on a real-life project, implementing both supervised and unsupervised machine learning techniques to derive business insights

This course is meant for all those students and professionals who are very much keen on working in the analytics industry. This is a great course for all those who are passionate to become 'Data Analysts' in the near future. This is a must-learn course for professionals from Mathematics, Statistics or Economics background and also those who are interested in learning Business Analytics.

The prerequisites for learning 'Data Analytics with R' includes basic statistics knowledge. IQ Training will provide a complimentary course "Statistics Essentials for R" to all the participants who enroll for the Data Analytics with R Training. 

The Data Analytics with R certification course you will be able to master the most popular Analytics tool. "R" is the most preferred tool for Data Scientists and wins on Graphical capability, Statistical Capability, Cost, rich set of packages. Mastering R programming language is the first step for A Top-Class Data Science Career. Having Data Science analytical skills is a highly preferred learning path after Data Analytics with R training. Check out the upgraded Data Science Course

Data Analytics with R Certification Training Ceritficate

Data Analytics with R Certification Training Reviews

25,859

Total number of reviews

4.5

Aggregate review score

80%

Course completion rate

Data Analytics with R Certification Training Features

Live Online Classes

All our Classes are Live Instructor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schedules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Course Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Data Analytics with R Certification Training FAQs

You will never miss a class at IQ Online Training! You can choose either of the two options:

  1. View the recorded session of the class available in your LMS or
  2. You can attend the missed session in any other live batch.

After the enrolment, the LMS access will be instantly provided to you able to access for lifetime which includes complete set of previous class recordings/PPTs/PDFs/assignments. You can start learning right away.

Your access to the Support Team is for lifetime. Our team will help you in resolving queries, during and after the course.

Yes, once enrolment has done for course. Access to the course material will be available for lifetime.

You can Call our support numbers listed in site OR Email us at info@iqtrainings.com.

You can view in-depth class sample recordings before the enrollment. Experience the complete learning instead of a demo session with our expertise.

All the instructors are Industry experts with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are well trained for providing an awesome learning experience to the participants.

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