Learn NumPy Fundamentals (Python Library for Data Science)

All the basics to start using the python library NumPy
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Learn NumPy Fundamentals (Python Library for Data Science)
32 185
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2 hours
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Aug 2019
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FREE
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Why take this course?

🎉 Master the Art of Data Science with NumPy - Your Journey Begins Now!


Course Title: Learn NumPy Fundamentals (Python Library for Data Science)

Instructor: Derrick Sherrill


Course Headline:

Dive into the world of data science and unleash the full potential of Python with Learn NumPy Fundamentals. This comprehensive course is designed to take you from a beginner to an advanced user of the powerful NumPy library, all while ensuring you have a solid grasp of Python if you're starting from scratch.


Course Description:

Hello everyone! 👋

Welcome to "Learn NumPy Fundamentals," where I, Derrick Sherrill, will guide you through the essentials of NumPy – the fundamental package for scientific computing in Python. This course is packed with interactive videos that are not just informative but also challenge you to apply what you learn in real-time.

Why take this course? 🤔

  • NumPy Mastery: Gain a deep understanding of NumPy's capabilities and how to effectively use its features within your data science projects.
  • Interactive Learning: Engage with videos that allow you to see the concepts in action, making the learning process both fun and effective.
  • Bonus Python Content: Whether you're new to Python or looking to sharpen your skills, this course includes bonus content to ensure you have the foundation needed to excel with NumPy.

What will you learn? 📚

  • Introduction to NumPy: We'll start by exploring why NumPy is an indispensable tool for data science and what it brings to the table compared to Python's native list and dictionary types.

  • NumPy Arrays: Learn how to create, manipulate, and understand the structure of NumPy arrays – the core building blocks of data analysis in Python.

  • Array Math: Perform mathematical operations with ease using NumPy's vectorized functions, which allow for high performance without the complexity of looping manually.

  • Array Indexing: Master the art of indexing and slicing within NumPy arrays to extract and manipulate subsets of your data effortlessly.

  • Advanced Indexing Techniques: Discover advanced methods to select specific elements in an array, including boolean indexing and fancy indexing for more complex queries.

  • Broadcasting: Understand the concept of broadcasting which enables you to perform operations between arrays of different shapes seamlessly.

  • And much more! 🚀

Each topic is meticulously covered with a mix of theoretical explanations and practical demonstrations, ensuring you not only understand the 'why' but also the 'how'. By the end of this course, you'll be well-equipped to handle large datasets, perform complex computations, and integrate NumPy into your data science workflows.

Whether you're a student, a researcher, or a data science enthusiast, "Learn NumPy Fundamentals" is the perfect starting point to build your foundation in data analysis with Python. 🧠✨

Join me, Derrick Sherrill, and embark on this exciting learning journey today! Let's make complex data management simple and fun with NumPy. Enroll now and take the first step towards becoming a data science pro!

Course Gallery

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29/08/2019
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02/09/2019
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