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New Course: Intro to Python in Power BI

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datacamp.com

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team@datacamp.com

Sent On

Tue, Apr 4, 2023 07:31 PM

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Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlati

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients. ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ [DataCamp]( Weekly Progress MAR 27 - APR 02 "You don't have to be great to start, but you have to start to be great" Zig Ziglar Goal for this Week Complete 5 exercises [Learn Now]( [Schedule Time to Learn]( Course Spotlight [AI Fundamentals]( [courses] [Master the fundamentals of AI to maximize your workflows and stay ahead of the curve. No prior programming experience is required!]( [Learn More →]( New Course [courses]( [Intro to Python in Power BI]( [>]( Upcoming Live Trainings [Feature Engineering for Predicting Hotel Bookings with tidymodels]( [>]( [Cleaning Data in Python]( [>]( Top Articles [Introduction to Unsupervised Learning]( [>]( [Key skills to aid your data science understanding. Learn about the indicators of unsupervised learning and how it differs from supervised learning.]( [Docker for Data Science Cheat Sheet]( [>]( [Designed around streamlining your workflow, master everything from Docker basics to specific commands and best practices for data science applications.]( Webinars [Developing a Data Mindset: How to Think, Speak, and Understand Data]( [>]( [Ace the SQL Interview]( [>]( [The Future of Data Skills: Exploring the Impact of Generative AI]( [>]( [clear as data]( [Want to Learn as a Team?]( DataCamp, Inc. | 350 5th Ave. | Suite 7720 | New York, NY 10118 [Facebook]( [Twitter]( [LinkedIn]( [Youtube]( [Instagram]( [Apple Store]( [Google Play]( [Unsubscribe](    [Privacy Policy](

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