this month at DataCamp: free data science guide, Python for finance tutorial, and more

Discover the day-to-day of a data scientist, explore Python for finance, and check out our newest courses, Forecasting in R and String Manipulation! [DataCamp]( This Month at DataCamp An update from your favorite online data science education company What is a Data Scientist? Check out this great resource from [General Assembly]( featuring DataCamp's Karlijn Willems! Discover exactly what a data scientist does — and why they've risen to the top of almost every industry's to-hire list. Get insider details on how data scientists help drive business success, where they work, and how to make it in the growing field. [What is a Data Scientist?]( [Download the guide ›]( New R Courses --------------------------------------------------------------- [Forecasting in R]( [Forecasting in R]( Forecasting involves making predictions about the future. Whatever the circumstances, forecasting is an important aid to effective and efficient planning. This course provides an introduction to time series forecasting using R. [Play now!]( [String Manipulation in R]( [String Manipulation in R]( In this course, you'll pull strings apart, put them back together, and use stringr to detect, extract, match and split strings using regular expressions. [Play now!]( --------------------------------------------------------------- Python for Finance: Algorithmic Trading In this tutorial, you’ll learn how to get started with Python for finance. The tutorial will cover: - The basics: stocks and trading strategies, time series data, and how to set up your workspace. - Common financial analyses, such as moving windows, volatility calculation, and more with the Python package Pandas. - How to develop a simple momentum strategy: you’ll go through the process step-by-step and code a simple algorithmic trading strategy. - How to backtest the formulated trading strategy with Pandas, zipline and Quantopian. - Finally, you’ll optimize your strategy and evaluate its performance and robustness. [Build your strategy]( --------------------------------------------------------------- 5 Tips To Write Idiomatic Pandas Code Even though Pandas data structures are very powerful and flexible, they also come with some complexities which can make your analysis harder rather than easier, especially for beginners. In this tutorial, you’ll focus on learning more about how you can save yourself a headache and write more idiomatic Pandas code. [Check it out ›]( DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe](