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Hi there, Introducing our latest SQL course, Improving Query Performance in SQL Server. You'll use real-world datasets to learn different ways you can improve the performance of queries to achieve your desired outcome. Our Streamlined Data Ingestion with pandas in Python course teaches you how to build pipelines to import data stored in many common formats such as Excel, JSON, and more. We're also launching one new project and five new coding challenges that cover topics such as web scraping, deep learning, and statistical thinking. Take our Kidney Stones and Simpson's Paradox in R project and create model output visualizations to help doctors determine if there’s a difference between the two types of treatments. Finally, check out five courses that are top-rated by other DataCamp users. Courses • [Improving Query Performance in SQL Server]( • [Forecasting Using ARIMA Models in Python]( • [Streamlined Data Ingestion with pandas]( (in Python) • [Machine Learning with Apache Spark]( (in Python) • [Feature Engineering in R]( Coding Challenges • [Web Scraping in Python]( • [Extreme Gradient Boosting with XGBoost]( (in Python) • [Advanced Deep Learning with Keras in Python]( • [Statistical Thinking in Python (Part 2)]( • [Natural Language Processing Fundamentals in Python]( Projects • [Kidney Stones and Simpson's Paradox]( (in R) 5 Courses Recommended by DataCamp Users • [SQL for Exploratory Data Analysis]( • [Analyzing Marketing Campaigns with pandas]( (in Python) • [Object-Oriented Programming in Python]( • [Feature Engineering for NLP in Python]( • [Visualization Best Practices in R]( Happy learning, The DataCamp Team DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 | [Unsubscribe](