Advanced forecasting methods and Some practical forecasting issues

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

Judgmental forecasts, Regression and Exponential Smoothing

Descomposition, Features and Toolbox

Forecasting in R

Introduction to Shell

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

Working with Web Data in R

String Manipulation with stringr in R

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.

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

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

Quantitative Risk Management in R

Credit Risk Modeling in R

Bond Valuation and Analysis in R

Intermediate to Portfolio Analysis in R

Introduction to Portfolio Analysis in R

Visualizing Time Series Data in R

Forecasting in R

Case Studies: Manipulating Time Series Data in R

ARIMA Models in R

Linear Regression module from Codecademy

Data visualization project in R

Codecademy project

Creating Linear Regression Algorithm in R

Case Studies: Building Web Applications with Shiny in R

Building Web Applications with Shiny in R

Importing and Managing Financial Data in R

Time Series Analysis in R

Working with Data in the Tidyverse

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

Manipulating Time Series Data with xts and zoo in R

Writing Efficient R Code

Wrangling and Visualizing Musical Data

Intermediate to R for Finance

Data manipulation in R

Data analysis

Data visualisation in R

Data manipulation in R

Introduction to R for Finance

Case Study: National Occupational mean wage

Cluster Analysis in R

Unsupervised Learning in R: Wisconsin Cancer

Unsupervised Learning in R

Supervised Learning in R: Regression

Supervised Learning in R: Classification

Correlation and Regression in R

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

Example of Exploratory Data Analysis in R

Exploratory Data Analysis in R

Working with Dates and Times in R

Data Cleaning in R

Intermediate Data Visualization with ggplot2

Introduction to Visualization with ggplot2 - Datacamp

Using joins in R

Joining Data in R with dplyr library

Dplyr project in R

Data Manipulation with dplyr in R

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

Functions in R

Massachusetts Bay Transportation Authority: data cleaning exercise in R

Data cleaning exercise in R

Example of cleaning data in R

Exercise of cleaning data in R

Cleaning Data using R

DataCamp Project using some R data visualisation tools

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

Exercise with Vectors using functions

Codecademy project in R studio

Practising R with Codecademy

R exercise: cleaning data