Data Science R

Section 1: Hit the Ground Running

 Welcome to the R Programming Course!

 Installing R and R Studio (MAC & Windows)

 Exercise - Get Excited!

 BONUS: Using R in the Real World

Section 2: Introduction to R programming

 Types of variables

 Using Variables

 Logical Variables and Operators

 The "While" Loop

 Using the console

 The "For" Loop

 The "If" statement

Section 3: Fundamentals of R

 What is a Vector?

 Let's create some vectors

 Using the brackets

 Vectorized operations

 The power of vectorized operations

 Functions in R

 Packages in R

Section 4: Matrices

 Project Brief: Basketball Trends

 Matrices

 Building Your First Matrix

 Naming Dimensions

 colnames() and rownames()

 Matrix Operations

 Visualizing With Matplot()

 Subsetting

 Visualizing Subsets

 Creating Your First Function

 Basketball Insights

Section 5: Data Frames

 Project Brief: Demographic Analysis

 Importing data into R

 Exploring your dataset

 Using the $ sign

 Basic operations with a Data Frame

 Filtering a Data Frame

 Introduction to qplo

 Visualizing With Qplot: Part I

 Building Data Frames

 Merging Data Frames

 Visualizing With Qplot: Part II

Section 6: Advanced Visualization with GGPlot2

 Project Brief: Movie Ratings

 Grammar of Graphics - GGPlot

 What is a Factor?

 Aesthetics

 Plotting With Layers

 Overriding Aesthetics

 Mapping vs. setting

 Histograms and Density Charts

 Starting Layer Tips

 Statistical Transformations

 Using Facets

 Coordinates

 Perfecting By Adding Themes

Section 7: Real-time project

 Data Science R project environment setup

 Real-time Data Science R project

 Project demonstration

 Expert evaluation and feedback

Section 8: You made it!!

 Spark Databox Data Science R certification

 Interview preparation

 Mock interviews

 Resume preparation

 Knowledge sharing with industry experts

 Counselling to guide you to a right path in Data Science R career