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  1. More data is created and collected every day. Machine learning models can find patterns in big data to help us make data-driven decisions. In this skill path, you will learn to build machine learning models using regression, classification, and clustering. Along the way, you will create real-world projects to demonstrate your new skills, from ...

  2. Learn to make effective data visualizations in Python with Matplotlib and Seaborn. Includes 6 Courses. With Certificate. Beginner Friendly. 6 Lessons. Explore our full catalog of programming courses, Skill Paths, and Career Paths for complete beginners, advanced learners, and everyone in between.

  3. www.codecademy.com › courses › learn-python-3Codecademy

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  4. Pass the Technical Interview with Python. Learn about the computer science concepts of data structures and algorithms and build implementations of each from scratch in modern Python. Includes Python, Interview Questions, Data Structures, Big O, Recursion, Sort and Search Algorithms, and more. To start this Skill Path, upgrade your plan.

  5. Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings. Includes 22 Courses. With Professional Certification. Beginner Friendly. 70 hours. Career path.

  6. Build Python Web Apps with Django. Django is an open-source Python web development framework that allows you to quickly create web apps using the plethora of tools provided. Includes Python, Web Development, Web Apps, Frameworks, and more. To start this Skill Path, upgrade your plan. Start.

  7. About this course. Continue your Python 3 learning journey with Learn Intermediate Python 3: Object-Oriented Programming. Represent real-world relationships in your code by utilizing inheritance, obfuscate important aspects of your code with abstraction and encapsulation, and create multi-form classes by utilizing polymorphism. Read more.