Course Name
R Programming
Learners (6524)
Register Now INR 16,000.00

Introduction to Business Analytics and R Programming

Here you will understand the fundamental concepts of Business Analytics & R. In addition to this, we will set-up the complete R environment & packages.

Introduction to Business Analytics and R Programming

Objective: You will understand the fundamental concepts of Business Analytics & R. In addition to this, we will set-up the complete R environment & packages.

Topics: Introduction to Analytics, Types & Applications of Analytics, Concept of R Programming, Industry Usage, Installation of R Environment, R Products & Packages, CRAN Directory, IDE for R, R Studio, Basic R Operations, Command Line and GUI.

R Programming Concepts

Objective: You will understand the complete data & function ecosystem in R Programming. These will be done theoretically as well as with practical exercises.

Topics: Data Types in R, Vectors, Factors, Strings, Lists, Arrays, Matrices, Data Frames, Functions in R, User Defined Functions, In-built Functions, Sortings, Column Bind, Row Bind, Merge Functions, Subscripting/Subsetting in R, Use-Cases, Applications & Problem Solving.

Data Manipulation in R

Objective: You will understand the process & phases in the data cleaning process, inspection functions and manipulation packages.

Topics: Data Cleaning Process, Data Cleaning Phases, readLines Function, Data Inspection, Data Cleaning Steps, String Manipulation Functions, Type Conversion, Data Inspection, Apply() Family.

Data Import Techniques in R

Objective: You will understand data import techniqiues via direct imports, web scraping, RDBMS via ODBC, SQL Queries and R Commander.

Topics: Data Import in R – different functions, Importing Data from Spreadsheet, Reading data from Tables, read.table parameters, SAS Data sets, RODBC Package, Reading Data to ODBC Tables, Query Operations, Web Scrapping, Using R Commander.

Exploratory Data Analysis

Objective: You will understand EDA technique, its parameters, goals & important. In addition to this, they will be exhaustive coverage of EDA functions.

Topics: Exploratory Data Analysis (EDA), Implementing of EDA, EDA Functions, Packages for Data Analysis, Correlation Analysis in R, Visualizing Data, Segment Plot, HC Plot, Box Plots & Special Plots.

Data Visualization in R

Objective: You will understand the data visualization ecosystem in R Programming; including all packages, GUIs and functions.

Topics: Data Visualization, Graphical functions in R, Plotting Graphs, Customizing Graphical Parameters, Various GUIs, Spatial Analysis, Advanced Graphs, R Commander and Plugin KMGGPLOT2, Advanced Spatial Analysis.

Statistical Techniques in R

Objective: You will learn the complete process of Linear & Logistic Regression

Topics: Linear Regression, Equation for a Regression Line, Mean Calculation, Summarizing the Model, Running the Regression, Logistic Regression, Linear Regression vs Logistic Regression.

Statistical Techniques in R - II

Objective: You will understand advanced statistical functions with an emphasis on predictive analytics.

Topics: Variance, ANOVA, One-Way Variance Analysis, F-Test, T-Test, Predictive Regression, Applications, Use-Cases & Practicals.

Data Mining Concepts in R

Objective: You will understand Data Mining, Association Rules, Pruning Rules & Visulization-Association Assets.

Topics: Introduction To Data Mining, Data Mining Process, The Uses of Data Mining, Association Rule Mining, Types of Association Rules, Use of Association Rule Mining, Removing Redundancy, Interpreting Rules, Visualizing Association Rules.

Implementing Machine Learning

Objective: You will understand Machine Learning - Features, Types & Algorithms.

Topics: PIntroduction To Machine Learning, Applications of Machine Learning, Types of Machine Learning, Supervised Learning, Workflow of Supervised Learning, Applications of Supervised learning, Artificial Neural Network, Unsupervised Learning, Workflow of Unsupervised learning, Sentiment Analysis, Project Discussion: Problem Statement, Data Fields.

Online live courses have become extremely popular due to the following reasons:

  • Flexibility and convenience of location and time.
  • As the course is spread over a few weeks, you get a chance to practice what you have learnt in a session before the following session. This results in much better understanding and learning
  • You get 24x7 learning support and access to excellent learning resources, subject materials at one place.
  • You can interact and collaborate with the industry experts, instructors, other learners of the course during and after the course
  • Access to the sessions recordings – this is important if you miss a session or want to do a quick revision
  • Provision of real-time cloud based labs.

On enrollment, each student is given access to a personalized LMS - Learning Management System. This features your class recordings, presentations, assignments, installation guides, data-sets, quizzes, forums and project documents.

This LMS access is for life-time.

We have a 24/7 support team featuring expert professionals with at least 3 years of experience in the specific technology. In addition to this, they're also given soft-skills training to ensure the best possible experience for you.

The support team is accessible via phone, email, live chat & video-calls. Please note, this is a lifetime facility. Even after course completion you can access the support facilities.

We are only happy, if you are happy. If you have any reason to doubt the content, delivery & expertise of our program, you are eligible for a 100% refund within 7 days of enrollment.

Your payment only comes into our accounts after 7 days, thus ensuring that your refund will be immediately processed.

If you enroll for 2 or more courses at once; your refund policy only stands till the completion of the first course.

We offer 100% placement assistance to its learners who are open to new job opportunities:

  • We have collaborated with many companies who give us their hiring requirements
  • These hiring partners also have access to the profiles of the learners who are looking for career opportunities, to initiate a contact with them
  • Learnests will also send you a curated list of job postings that come up on various websites pertaining to your field of interest.

Note: Learnests offers placement assistance to every learner who wishes to look at career opportunities. However, we do not offer any job guarantee.

During this course; you will be provided with 5 live industry grade projects. Each project will feature data-sets, use-cases & guides from the following industries:

  • Finance
  • Healthcare
  • Social Media
  • Entertainment
  • Retail

It will take you an average of 10 hours to complete each project.

Each student will be given a certification of course completion only after they finish the classes as well as their projects. The grade will be based on their peformance as judged by the instructor. This certificate is recognized by all our corporate partners.