Newsletter Subject

Three New Courses!

From

datacamp.com

Email Address

team@datacamp.com

Sent On

Wed, Aug 8, 2018 01:20 PM

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Hi there, We have launched three new courses in the past two weeks! Two in Python and one in R. Chec

Hi there, We have launched three new courses in the past two weeks! Two in Python and one in R. Check them out below if you’re interested in learning about Bayesian data analysis, police activity, and portfolio management! [Intro to Portfolio Risk Management in Python]( This course will teach you how to evaluate basic portfolio risk and returns like a quantitative analyst on Wall Street. This is the most critical step towards being able to fully automate your portfolio construction and management processes. Discover what factors are driving your portfolio returns, construct market-cap weighted equity portfolios, and learn how to forecast and hedge market risk via scenario generation. [Fundamentals of Bayesian Data Analysis in R]( Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem-specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis: what it is, how it works, and why it is a useful tool to have in your data science toolbox. [Analyzing Police Activity with pandas]( This course will give you the chance to apply your Python and pandas knowledge by answering interesting questions about a real dataset! You will explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior. During the course, you will gain more practice cleaning messy data, creating visualizations, combining and reshaping datasets, and manipulating time series data. Analyzing Police Activity with pandas will give you valuable experience analyzing a dataset from start to finish, preparing you for your data science career. Happy learning! The DataCamp Team DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 | [Unsubscribe](

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