## Recently Published

##### Principles and Practice 3: Part 5

Advanced forecasting methods and Some practical forecasting issues

##### Principles and Practice 3: Part 4

ARIMA, Dynamic regression models and Forecasting hierarchical and grouped time series

##### Principles and Practice 3: Part 3

Judgmental forecasts, Regression and Exponential Smoothing

##### Forecasting: Principles and Practice 3: Part 2

Descomposition, Features and Toolbox

##### Forecasting: Principles and Practice 3: Part 1

Forecasting in R

##### Introduction to Shell

Introduction to Shell

##### Clustering Bustabit Gambling Behavior

Have you ever wondered if you could quantify the behavior of gamblers at the casino?

##### Working with Web Data in R

Working with Web Data in R

##### String Manipulation with stringr in R

String Manipulation with stringr in R

##### Modeling the Volatility of US Bond Yields

We will explore the volatility structure of US Government Bond Yields. Essentially all financial assets exhibit a phenomenon called volatility clustering where low and high volatility regimes follow each other.

##### Who Is Drunk and When in Ames, Iowa?

"What is the highest recorded value?" and "When do breath alcohol tests occur most?"

##### Drunken Datetimes in Ames, Iowa

In the Who Is Drunk and When in Ames, Iowa? project, you looked at breathalyzer test data from the State of Iowa. There was a lot of date-time manipulation that was hidden behind-the-scenes in that dataset. In this project, you will proceed to uncover temporal trends in the Ames breath alcohol data.

##### Financial Trading in R

Financial Trading in R

##### Quantitative Risk Management in R

Quantitative Risk Management in R

##### Credit Risk Modeling in R

Credit Risk Modeling in R

##### Bond Valuation and Analysis in R

Bond Valuation and Analysis in R

##### Intermediate to Portfolio Analysis in R

Intermediate to Portfolio Analysis in R

##### Introduction to Portfolio Analysis in R

Introduction to Portfolio Analysis in R

##### Visualizing Time Series Data in R

Visualizing Time Series Data in R

##### Forecasting in R

Forecasting in R

##### Case Studies: Manipulating Time Series Data in R

Case Studies: Manipulating Time Series Data in R

##### ARIMA Models in R

ARIMA Models in R

##### Linear Regression in R

Linear Regression module from Codecademy

##### Museums and Nature Centers

Data visualization project in R

##### Investigating the Coronavirus (a.k.a. Wuhan Virus) Pandemic

Codecademy project

##### Creating Linear Regression Algorithm in R

Creating Linear Regression Algorithm in R

##### Case Studies: Building Web Applications with Shiny in R

Case Studies: Building Web Applications with Shiny in R

##### Building Web Applications with Shiny in R

Building Web Applications with Shiny in R

##### Importing and Managing Financial Data in R

Importing and Managing Financial Data in R

##### Time Series Analysis in R

Time Series Analysis in R

##### Working with Data in the Tidyverse

Working with Data in the Tidyverse

##### Housing Prices - Missing Values

Dealing with missing values on the Housing Price dataset from kaggle.

##### Manipulating Time Series Data with xts and zoo in R

Manipulating Time Series Data with xts and zoo in R

##### Writing Efficient R Code

Writing Efficient R Code

##### Wrangling and Visualizing Musical Data

Wrangling and Visualizing Musical Data

##### Intermediate to R for Finance

Intermediate to R for Finance

##### Level Difficulty in Candy Crush Saga

Data manipulation in R

##### Exploring the Kaggle Data Science Surveys

Data analysis

##### Phyllotaxis: Draw Flowers Using Mathematics

Data visualisation in R

##### Dr. Semmelweis and the Discovery of Handwashing

Data manipulation in R

##### Introduction to R for Finance

Introduction to R for Finance

##### Case Study: National Occupational mean wage

Case Study: National Occupational mean wage

##### Cluster Analysis in R

Cluster Analysis in R

##### Wisconsin Cancer

Unsupervised Learning in R: Wisconsin Cancer

##### Unsupervised Learning in R

Unsupervised Learning in R

##### Supervised Learning in R: Regression

Supervised Learning in R: Regression

##### Supervised Learning in R: Classification

Supervised Learning in R: Classification

##### Correlation and Regression in R

Correlation and Regression in R

##### EDA: United Nations voting dataset

Case Study: Exploratory Data Analysis in R - United Nations voting dataset

##### EDA: email spam

Example of Exploratory Data Analysis in R

##### Exploratory Data Analysis in R

Exploratory Data Analysis in R

##### Working with Dates and Times in R

Working with Dates and Times in R

##### Data Cleaning in R

Data Cleaning in R

##### Intermediate Data Visualization with ggplot2

Intermediate Data Visualization with ggplot2

##### Introduction to Visualization with ggplot2

Introduction to Visualization with ggplot2 - Datacamp

##### Joins on Stack Overflow Data

Using joins in R

##### Joining Data with dplyr

Joining Data in R with dplyr library

##### Baby names Project

Dplyr project in R

##### Data Manipulation with dplyr

Data Manipulation with dplyr in R

##### Project: Grain yields

Datacamp project in R. Using functions and creating a model.

##### Introduction to Creating Functions in R

Functions in R

##### Data Cleaning: MBTA

Massachusetts Bay Transportation Authority: data cleaning exercise in R

##### Data cleaning: World food

Data cleaning exercise in R

##### Cleaning Data in R: ticket sales

Example of cleaning data in R

##### Cleaning data: weather example

Exercise of cleaning data in R

##### Cleaning Data in R

Cleaning Data using R

##### Visualizing COVID-19

DataCamp Project using some R data visualisation tools

##### Intermediate Importing Data in R

Dealing with different types of data:
SQL, JSON, SAS, STATA, SPSS

##### Exercise with Vectors in R

Exercise with Vectors using functions

##### World Population - SQL project

Codecademy project in R studio

##### Visualizing Carbon Dioxide Levels

Practising R with Codecademy

##### Cleaning US Census Data

R exercise: cleaning data