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  1. Learn the most important language for data science.

  2. Practical data skills you can apply immediately: that's what you'll learn in these no-cost courses. They're the fastest (and most fun) way to become a data scientist or improve your current skills.

  3. Explore Python's syntax, data types, and functions. Practice loops, conditionals, and list comprehensions. Learn to work with external libraries and apply skills to a Kaggle competition.

  4. www.youtube.com › @kaggleKaggle - YouTube

    Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data.

  5. Dec 11, 2021 · Kaggle’s Python course is made up by 7 lessons. Each lesson might take 15 minutes to read and then there is the exercise that could take 20 minutes to a few hours. All exercises on Kaggle have a hint and solution so you could just check the solution and move on if that is your style.

  6. Kaggle Notebooks are a computational environment that enables reproducible and collaborative analysis.

  7. towardsdatascience.com › how-to-get-started-and-make-best-use-of-kaggle-41feb8bba2d6How To Get Started and Make Best Use of Kaggle

    Oct 26, 2021 · There is a 5-hour course on Python in Kaggle. It consists of 8 modules covering all basic concepts to work on data science problems. Below is the link to the course,

  8. The Python course on Kaggle will help you learn the following: Python basics (syntax and variables) Functions. Booleans and conditionals. Lists, loops, and list comprehensions. Strings and dictionaries. Working with external libraries.

  9. Winning a Kaggle Competition in Python. Learn how to approach and win competitions on Kaggle. Start Course for Free

  10. Always wanted to compete in a Kaggle competition but not sure you have the right skill set? In this course, you'll learn to predict survival rate for Kaggle's Titanic competition.

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