Data Science with R
R programming language is one the most powerful tool for computational statistics, visualization and data science. Data scientists and statisticians use R for solving many complex problems in their industry. R is extensively used in companies like Bing, Google, Facebook, Twitter, Uber, FDA, Ford and Lloyd’s. As R is used in various domains like Social media companies, Banks, Insurance companies, Car manufacturers like Ford, R is one of the most sought data analytics skill that is in high demand.
GN Infotech provides the best 'DATA SCIENCE WITH R TRAINING' in Khanna with below mentioned course curriculum. GN Infotech labs are equipped with latest software so that students can get 100% practical training.
At the completion of training the participant will exhibit the following :
- Understand programming fundamentals of R language
- Understand and Master various data import methods in R
- Understand and Master Data Manipulation in R
- Create visualizations and Plots using R
- Understand and Implement Linear Regression
- Perform Text Analysis
- Understand and Master Machine Learning concepts
- Real-time implementation of R on a live project and provide Business Insights
WHY 'DATA SCIENCE WITH R TRAINING' AT GN INFOTECH ?
- - Industry Compliant Syllabus
- - Multi-Platform Demonstration
- - Product Based Training
- - Real-Time Case Studies
- - Use of Latest Tools & Technology
- - LCD equipped class room
- - Unlimited Lab facility
- - Faculty drawn from Industries
- - Daily Handouts & Lab Exercise
- - Workshops on New Technologies
TARGET AUDIENCE :
- - Professionals and Students looking to enter the Data Science industry
Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart
Descriptive
Predictive
Web Analytics
Google Analytics
R and features
Evolution of R?
Big data Hadoop and R
R & R Studio Installation
Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R
CSV files
Database data (Oracle 11g)
XML files
JSON files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R
Cbind, Rbind
Sorting
Aggregating
dplyr
If …else
For loop
While loop
Repeat loop
Apply()
sApply()
rApply()
tApply
Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
Correlation
Covariance
Anova
Linear Regression
Normal distribution
Density
Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps
Null Handling
Merge
Grep
Scan
Text Mining
Exploratory Data Analysis
Machine Learning with R (concept)
Project 1 – Business insights: Real-time implementation of R on a live project and provide Business Insights
Project 2 – Twitter Sentiment Analysis: Fetch, extract and data mine real-time data from twitter and provide sentiment analysis