Datacamp

The decisions we make in life are guided by our principles. No one is born with a life philosophy, instead everyone creates their own over time. In this course, you will develop a set of...

If you have experience with SAS and want to learn R, this is the course for you. R is FREE (cost) and OPEN (license) and is one of the fastest growing software languages for statistics...

Feature engineering helps you uncover useful insights from your machine learning models. The model building process is iterative and requires creating new features using existing variables that make your model more efficient. In this course,...

The world’s bond market has a value of around 120 trillion dollars; it plays a key role in helping both governments and businesses raise capital and is an essential part of most investment portfolios. In...

Have you ever wondered how companies like Facebook and Google are able to serve you surprisingly targeted ads that you occasionally click? Well, behind the scenes, they are running sophisticated machine learning models and using...

Building good models only succeeds if you have a decent base table to start with. In this course you will learn how to construct a good base table, create variables and prepare your data for...

Python is a versatile programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. This course...

ChIP-seq analysis is an important branch of bioinformatics. It provides a window into the machinery that makes the cells in our bodies tick. Whether it is a brain cell helping you to read this web...

This is an introductory course to the R programming language as applied in the context of political data analysis. In this course students learn how to wrangle, visualize, and model data with R by applying...

Options are an extremely important part of the financial markets. They matter not only to traders and asset managers, but also to anyone that receives stock options from their employers as part of their benefit...

In this course, you will learn to perform state-of-the art predictive analytics using networked data in R. The aim of network analytics is to predict to which class a network node belongs, such as churner...

Preparing for a Machine Learning (ML) interview could be quite challenging. Where to start? What topics to focus on? Theory or practice? Well, fear not! In this course, you will learn to answer 30 non-trivial...

Now that you're familiar with the basics of network analysis it's time to see how to apply those concepts to large real-world data sets. You'll work through three different case studies, each building on your...

Analysts across industries rely on data from the United States Census Bureau in their work. In this course, students will learn how to work with Census tabular and spatial data in the R environment. The...

With social media and big data everywhere, data privacy has been a growing, public concern. Recognizing this issue, entities such as Google, Apple, and the US Census Bureau are promoting better privacy techniques; specifically differential...

Having honed your visualization skills by learning ggplot2, it's now time to tackle larger datasets. In this course, you will learn several techniques for visualizing big data, with particular focus on the scalable visualization technique...

How do we know when a stock is cheap or expensive? To do this, we need to compare the stock's price with its value. The price of the stock can be obtained by looking at...

Time series data is fun, but challenging. When ordering matters, your datasets get large, and timestamp precision differences can foil your merges, building reliable data processing pipelines requires a principled approach with the right tools....

R is a great language for data science, but sometimes the code can be slow to run. Combining the comfort of R with the speed of a compiled language is a great way to reclaim...

Organizational growth largely depends on staff retention. Losing employees frequently impacts the morale of the organization and hiring new employees is more expensive than retaining existing ones. Good news is that organizations can increase emplo...