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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Data Analytics using R Programming online course is offered by the online education provider platform ‘Edu Plus Now’ in collaboration with the Indian Statistical Institute in Pune. The data analytics program will take twelve days to complete the course and is scheduled on the weekends for the interested candidates.

The course study is about data analytics in which the statistical and mathematical frameworks are used to sort the data collected and find the inherent patterns and probabilities. In this course, the students will be able to develop an expertise in R programming with the help of data preparation, fundamental analytics, prescriptive analytics, exploratory data analysis, classification, clustering, and time series analysis.

The experimental projects in this ‘Data Analytics using R Programming’ training enable the students to gain a deeper understanding and knowledge of the concepts of data analytics and an opportunity to know more about the domain of data science.

The Highlights

Online mode
12 days programme
Interactive virtual sessions
Expert faculty
Career guidance
Certification
Real-time projects

Programme Offerings

videos
Lectures
Recordings
Projects
Professional faculty
Industrial Experts
Placement Support
Course completion certificate
80 hours course

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Indian Statistical Institute, Pune

The ‘Data Analytics using R Programming’ certification fee is Rs. 40,000 with GST, and is available on the ‘Edu Plus Now’ platform.

Data Analytics using R Programming fee structure

Head	Amount in INR
Course fee	Rs. 40000 + GST

Eligibility Criteria

The course can be taken by any fresher or professional from the industry irrespective of their age or degree.

Certificate qualifying details

The students of the ‘Data Analytics using R Programming’ certification by Edu Plus Now will be awarded a certificate from the course provider ‘Edu Plus Now’ after completion of the training.

What you will learn

Mathematical skillStatistical skillsData science knowledgeR ProgrammingKnowledge of Data Visualization

The ‘Data Analytics using R Programming’ certification syllabus is structured for students to learn about the techniques and tools involved in data analytics. It enables the students to improve their data science knowledge and use their statistical and mathematical skills to analyze the data stored. With the help of the R software platform, the candidates will explore more strategies and techniques of data visualization, prediction, and classification.

Who it is for

Data AnalystSales ManagerStatisticianSoftware EngineerMarketing Manager

The course on ‘Data Analytics using R Programming’ by ‘Edu Plus Now’ benefits the individuals who are interested in exploring more about data analytics and aspire to work as Data Analysts, Data Engineers, Data Scientists, and Statisticians. It is for freshers or professionals like engineers, sales and marketing executives, software engineers, and IT engineers.

Admission Details

The candidates who wish to apply for the ‘Data Analytics using R Programming’ classes should register through the online platform

Step 1: Go to the ‘Data Analytics using R Programming’ course page on the official website of ‘Edu Plus Now’ using the following link, https://www.eduplusnow.com/course-details/certificate-course-in-data-analytics-using-r-programing

Step 2: Click on the Enroll button on the course page.

Step 3: Fill in the relevant information on the enrolment form and complete the process.

Application Details

For the course registration, the applicants should enter their name, phone number, and email address on the enrolment form.

The Syllabus

Analytics steps

Data Preparation
Basic Analytics
Data Visualization / Visual Analytics
Prescriptive Analytics – Classification Modeling
Descriptive Analytics – Clustering & MBA
Predictive Analytics – Time Series Analytics
Data Preparation & selection of case study
Visual Analytics & Exploratory Data Analytics
System of BI & EDA
Exploratory Data Analysis
Univariate / Multivariate/ Pairwise
Binary / Ordinal / Categorical / discrete continuous

Probability and probability distribution

Summary of statistics & graphs
Estimation – maximum likelihood estimation
Expectation
Exercise – Probability-based predictive model, conditional, Mutual independent probability, Bayesian theory

Time series analytics

Introduction to TSA
Errors in TSA – MAPE, MAD, MSE

Family of time series module

Trend Models
Decomposition models
Exponential smoothing models
ARIMA
Mix models

Prediction strategy

Time series based prediction
Cause based modeling
Determine sting prediction
Intuity forecasting

R studio

Introduction to R and R studio
R Installation - R GUI and Rstudio, R Studio tour
R packages overview and understanding in-built functions
Creating/saving R script, Installing packages with coding and with a drop-down menu, Loading packages, Understanding 4 consoles
Vectors
Visual Analytics
Testing of hypothesis and Confidence Interval
Linear Regression -
Logistic Regression
Decision Trees/CART -
Confidence Interval and Sample size determination
Supervised and Unsupervised learning
Difference between classification and regression algorithms
Naïve Bayes Classifier
Principal Component Analysis
Factor Analysis
Discriminant Analysis
Time Series Analysis
k-means clustering
Market Basket Analysis