2 new courses! Visualizing Time Series Data & Supervised Learning

Hi there, Can we predict if people will turn up to vote based on their attitude towards the government? How about visualizing production of meat in the USA for the past 50 years? You will be able to answer (and visualize) both these questions and more after taking our two newest courses: [Visualizing Time Series Data in Python]( by Thomas Vincent (Head of Data Science at Getty Images), and [Supervised Learning in R: Case Studies]( by Julia Silge (Data Scientist at Stack Overflow). [Supervised Learning in R: Case Studies]( Predictive modeling is a powerful tool for using data to make predictions about the world around us. In this course, you will work through 4 case studies to answer questions such as: can we predict if employees work remotely based on their responses on the Stack Overflow Developer survey? [Visualizing Time Series Data in Python]( Knowing how to work with time series data, whether it is analyzing business trends or exploring customer behavior, is a foundational skill for every data scientist. This course will give you practical knowledge on decomposing times series into its components, visualizing time series data such as unemployment rates in the US and much more. Happy learning! DataCamp DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 | [Unsubscribe](