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Course Agenda
Professionals and Students looking to enter the Data Science industry
Understanding Business Analytics
Other Popular Business Analytics tools Vs R
R and it’s applicaitons
Getting Familiar With R Programming Environment
Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart
Various Analytics Tools
Descriptive
Predictive
Web Analytics
Google Analytics
Fundamentals Of R
R and features
Evolution of R?
Big data Hadoop and R
Working With R & RStudio
R & R Studio Installation
Data Types
Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R
Importing Data
CSV files
Database data (Oracle 11g)
XML files
JSON files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R
Manipulating Data
Cbind, Rbind
Sorting
Aggregating
dplyr
Conditional Statements
If …else
For loop
While loop
Repeat loop
Functions
Apply()
sApply()
rApply()
tApply
Statistical Concepts
Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
Correlation
Covariance
Anova
Predictive Modelling
Linear Regression
Normal distribution
Density
Data Visualisation In R Using GGPlot
Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps
Data Visulaization Using Plotly
3D-view
Geo Maps
Misc. Functions
Null Handling
Merge
Grep
Scan
Advance Topics In R
Text Mining
Exploratory Data Analysis
Machine Learning with R (concept)