Data Science With R Training

BY
Mindmajix Technologies

Master the major aspects of Data Science With R by joining the online Data Science With R Training by Mindamajix.

Mode

Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends

Course overview

Data Science With R Training Course helps the learners to get an overview of various strands of data sciences with R, the widely used data analytics tool, and enables them to make a move ahead in their career. The curriculum will walk the students through the whole range of aspects related to Data Science with R including data visualizationdata manipulation, hypothesis testing, charts,  machine learning algorithms, and many more. 

Data Science With R Training online course, offered by Mindmajix Technologies, has some prerequisites that the learners must have to be eligible for the programme, namely, the basic understanding of Data Analytics and R. Data Science With R Training certification will also introduce the students to Business Analytics, Test Statistic, Logistic Regression Analysis, Clustering Models and whatnot along with the practical exposure through projects. The interested students can attend the training programme via either of the three enrolment options made available by Mindamjix. 

The highlights

  • 100%  online course
  • Offered by Mindmajix Technologies
  • FREE Demo on Request
  • Flexible Schedule
  • Online Live and Self-paced Training Options
  • 24/7 Lifetime Support
  • Life-Time Self-Paced Videos Access
  • One-on-One Doubt Clearing
  • Certification Oriented Curriculum  

Program offerings

  • One-on-one doubt clearing sessions
  • Certification oriented curriculum
  • Real-time project use cases
  • 20 hours of labs
  • Free demo on request
  • 24/7 lifetime support
  • 30 hours of sessions
  • Online live and self-paced training options

Course and certificate fees

certificate availability

Yes

certificate providing authority

Mindmajix Technologies

What you will learn

Data science knowledge R programming Business analytics knowledge Knowledge of data visualization

After the completion of  Data Science With R Training online certification, the student will learn many concepts of  Data Science With R such as R Data Visualization, Cluster Analysis, Regression Analysis, Apriori Algorithm, and the like. Plus, the learners will explore business analytics, R-studio, R packages, the data structure used in R, and importing and exporting data in R. 

The syllabus

Introduction to Data Science Methologies

  • Data Types
  • Introduction to Data Science Tools
  • Statistics
  • Approach to Business Problems
  • An overview of Analytics
  • Models and Algorithms
  • Importance of Data Science
  • Data Science as a Strategic Asset
  • R, Python, WEKA, RapidMiner

An Overview of R and Business Analytics

Overview of R
  • Introduction to R
  • Data Structures and Manipulation in R
  • Installing R on Vsrious Operating Systems
  • IDEs for R
  • Steps in R Initiation
  • Installing an R Package
Overview of Business Analytics
  • Introduction to Business Analytics
  • Analytics Technology and Resources
  • Need of Business Analytics
  • Types and Features of Business Analytics
  • Descriptive and Predictive Analytics
  • Business Decisions
  • Analytical Tools
  • Data Science as a Strategic Asset

Data Visualization and Manipulation

  • Introduction
  • Types of Graphics
  • Save Graphics to a File
  • Graphics in R
  • Create a word cloud
  • Exporting Graphs in EStudio

Hypothesis Testing

  • Need of Hypothesis Testing in Businesses
  • Chances of Errors in Sampling
  • Level of Significance
  • Types of Statistical Hypothesis Tests
  • Test Statistic
  • Types of Errors
  • Use Normal and Student Probability Distribution Functions
  • Objectives of Null Hypothesis Test
  • Use Chi-Squared Test Statistics

Logistic Regression Analysis

  • Introduction to Regression Analysis and Usage
  • Types of Regression Analysis
  • Interaction Regression Model
  • Correlation
  • Logit Function
  • Lift charts
  • Decile Analysis

Cluster Analysis Classification Models

  • Introduction to Cluster Techniques
  • Examples of Classification
  • Classification Process - Model Construction
  • Data Preparation Issues
  • Basic Algorithm for a Decision Tree
  • Decision Trees in Data Mining
  • Naive Bayes Classifier
  • Clustering Models
  • Use Cases of Clustering
  • DBSCAN Clustering Algorithm
  • Distance Methodologies
  • Hierarchical and Non-Hierarchical Procedure
  • K-Means clustering

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