Basics of Numpy for Data Analysis & Data Science in Python

Learn fundamentals of Numpy , frequent used Numpy statistical functions with the help of real-world use-cases
4.57 (73 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Basics of Numpy for Data Analysis & Data Science in Python
4 771
students
2 hours
content
Dec 2023
last update
FREE
regular price

Why take this course?


TDMG - Basics of Numpy for Data Analysis & Data Science in Python 📊✨

Headline: Unlock the Power of NumPy for Data Analysis and Data Science! 🚀

Description: Are you aspiring to be at the forefront of the data revolution? Data Scientist and Data Analyst jobs top the charts as the most coveted careers, with salaries that speak volumes about their importance in today's tech-driven world. With an average US salary north of $120,000 for a Data Scientist, it's clear that mastering data science is not just intellectually stimulating but also financially rewarding!

Why This Course? Data Science is the cornerstone of innovation in the 21st century, blending computational power with analytical prowess. As the demand for data scientists continues to surge, learning the fundamentals of NumPy has never been more crucial. With this course, you'll gain hands-on experience with Python, the language that powers over 60% of data science projects globally.

Course Overview: Dive into the world of Numpy, where you'll learn to perform numerical computations on data like a pro! This comprehensive course is designed to take your Python skills to new heights, specializing in numerical programming with NumPy - the cornerstone library for scientific computing in Python. 🌟

What You'll Learn:

  • Python Fundamentals: Get up to speed with the basics of Python data structures and how they form the foundation for data analysis.
  • Numpy Operations: Master the art of manipulating data with NumPy's powerful functions and arrays.
  • Statistical Functions: Explore NumPy's extensive suite of statistical functions that are indispensable in data science.
  • Array Creation: Learn to create 1-D, 2-D, and multi-dimensional arrays with numpy - essential for tasks like Deep Learning.
  • Data Manipulation Techniques: Discover how to flatten, reshape, and manipulate data using numpy functions in real-world scenarios.

Course Highlights:

  • Practical Approach: This course combines theoretical knowledge with practical applications, ensuring you're ready to tackle real-world data challenges.
  • Real-World Use Cases: Through hands-on projects and examples, you'll understand how NumPy can be applied in various industries.
  • Intuitive Learning: We'll guide you on when and how to use specific NumPy functions, giving you an edge in problem-solving.

What You'll Master:

  • Creating and utilizing 1-D and 2-D arrays with numpy.
  • Performing mathematical operations on arrays.
  • Utilizing advanced NumPy features like vectorization to speed up your code.
  • Applying statistical functions for data analysis and scientific computing.
  • Manipulating arrays to prepare data for machine learning models, such as those used in Deep Learning.

Join us on this journey to become a proficient NumPy user and take a significant step towards a successful career in Data Science! 💼📈


Enroll now and transform your data analysis skills with NumPy's power at your fingertips. Let's embark on this exciting learning journey together, and unlock the secrets of efficient and effective data handling using Python! 🚀🔢

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4844618
udemy ID
22/08/2022
course created date
30/08/2022
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Basics of Numpy for Data Analysis & Data Science in Python - Free course | Comidoc