jkuruzovich

#This is a cool demo that shows the potential of connecting with Google Visualizations
install.packages("googleVis")
library(googleVis)
demo(WorldBank)



#Start of Kaggle See Click Predict 
setwd("~/Dropbox/30_classes/analytics/2013_fall/kaggle2")
train <- read.csv("train.csv")

jkuruzovich

#Start of Kaggle See Click Predict 
setwd("~/Dropbox/30_classes/analytics/2013_fall/kaggle2")
train <- read.csv("train.csv")
test <- read.csv("test.csv")
str(train)
head(train)
names(train)

jkuruzovich

# This code has some additional functions that can help show you how to deal with the missing values and cross validation.

#Start of Kaggle See Click Predict 
setwd("~/Dropbox/30_classes/analytics/2013_fall/kaggle2")
train <- read.csv("train.csv")
test <- read.csv("test.csv")
str(train)
head(train)
names(train)

jkuruzovich

#Start of Kaggle See Click Predict 
setwd("~/Dropbox/30_classes/analytics/2013_fall/kaggle2")
train <- read.csv("train.csv")
test <- read.csv("test.csv")
str(train)
head(train)
names(train)

jkuruzovich

<?php

/* * **
 * 
 * This script converts an existing MySQL database to migrations in Laravel 4.
 * 
 * 1. Place this file inside app/controllers/
 * 
 * 2. In this file, edit the index() method to customize this script to your needs.
 *      - inside $migrate->ignore(), you pass in an array of table 

jkuruzovich

Class 1: Technology Fundamentals of Business Analytics

Introduction to Analytics

Class Objective:

The goal of this class is to discuss the broader issues of data analytics, the approach of the class, and the technologies to be utilized. We will get you setup on the necessary platforms and get the necessary technologies installed to get started with both Python and R.

Readings (To be done before class):

No readings today but please do the following that will make the first class go more smoothly.

jkuruzovich

Class 2: Technology Fundamentals of Business Analytics

Introduction to Python

Class Objective:

The goal of this class is to introduce you to Python. We will cover some basic data structures as well as operations on those data structures.

Readings (To be done before class):

• Think Python-2E Read through Chapters 1-10. Don't worry, they are short chapters and we will cover many of the more important topics for data analytics multiple times, both directly and in cases studies. While the exercises presented in the book are done in the interpreter, you can utilize Jupyter notebooks as well.

jkuruzovich

Class 3: Technology Fundamentals of Business Analytics

Introduction to Python (continued)

Class Objective:

The goal of this class is to introduce you to the flow and logic of Python while continuing to increase our knowledge of Python data structures.

Readings (To be done before class):

• Pandas Intro to Data Structures (series and dataframe only)

jkuruzovich

Class 5: Technology Fundamentals of Business Analytics

Introduction to R (Continued)

Class Objective:

The goal of this class is to expose you more to the introduction of the analysis process using R.

Readings (To be done before class):

(1) Data Transformation.

jkuruzovich

Class 4: Technology Fundamentals of Business Analytics

Introduction to R

Class Objective:

The goal of this class is to get you familiar to using R. While we will be Jupyter notebooks, we will also examine using RStudio. Not that you have already started with Python, many of the concepts will map.

Readings (To be done before class):

(1) Introduction