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Data Science Using R Course

Data Science Using R Course - Palin

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Course Description

Data Science Using R

Data Science is an art of making data driven decisions. To make that data driven decision it uses scientific methods, processes, algorithms to extract knowledge and insights from data. It is used for examining, cleaning, manipulating, transforming and generating information from the data. Now a days in Business world data analytics plays a vital role to form decisions more scientifically and help to increase operational efficiency. At Palin Analytics you will get the best Data Science with r online Course, Training and Certification.

 
4.7/5
  • 4.7 star
  • from 152 ratings
  • 286 students enrolled
  • English
  • English, Hindi
 

WHAT WE WILL LEARN

  • Connection, Navigation, data sources, data extraction, data prep
  • Data Pre-Processing
  • Exploratory Data Analytics
  • Data Wrangling
  • Data Cleansing
  • Basics of R
  • Statistics For Business Analytics
  • Data Analytics
  • Machine Learning
  • Data Visualization
  • Basic R syntax

DESCRIPTION

Top skill in demand now a days is to process raw data into business insights. There is no special programming language dedicated to data science but looking at the exciting features of the R language you can make your mind. R has great features like fast and high computational capability, extremely compatible, cross platform support , distributed computing and vector arithmetic. In this course we will learn r programming, statistics and machine learning used for business analytics. We will learn data wrangling, data cleansing as well as data visualization using popular R packages like dplyr and ggplot2. In data science with r course you will get to learn apply exploratory data analytics the essential part of data analytics.

By the end of this you will be able to extract, read and write data from csv files, data cleansing, data manipulation,  data visualization, run inferential statistics, understand the business problems, based on problems you will be able to select and apply machine learning models and deploy it.

 

WHO CAN GO FOR THIS

Data Science is for everyone who wants grow in their field. In data analytics people are from different streams like economics, computer science, chemical, electrical, statistics, mathematics, operations. Yes you will find many are from technical background but its not the prerequisite

COURSE CONTENT

 
LESSONS LECTURES DURATION
Probability  1 Lecture 20:00
Random Variables 1 Lecture 25:00
Probability Distribution 1 Lecture 21:00
Central Limit Theorem 1 Lecture 25:00
Sampling 1 Lecture 25:00
Confidence Intervals 1 Lecture 25:00
Hypothesis Testing 1 Lecture 25:00
Chi Square Test 1 Lecture 25:00
Anova Test 1 Lecture 25:00
TOTAL 28 LECTURES 84:20:00

MENTORS

 
VIPIN KUMAR
  • 10 + Batches
  • 4.7 Star Rating
  • 286 Students Trained
  • 150+ Successfully Placed

Hi I am Vipin Kumar and I am super excited that you are reading this.

Professionally, I am a data science management consultant with over 8+ years of experience in Banking, Capital Market, CCT, Media and other industry. I was trained by best analytics mentor at dunnhumby and now a days I leverage Data Science to drive business strategy, revamp customer experience and revolutionize existing operational processes.  

From this course you will get to know how I combine my working knowledge, experience and qualification background in computer science to deliver training step by step.  

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Institute Overview

Palin
Gurgaon, Haryana, India
4 Current Posted Courses

ABOUTPALIN ANALYTICS Palin is devoted to making continuous opportunities easily attainable, challenging as well as relevant to learners. Its aim is to facilitate Industry relevant as well as corporate suite... Read More

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