NumPy for Data Science Beginners: 2021
NumPy for Data Science Beginners: 2021 Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science
Course Provider: Person
Course Provider Name: Abbosjon Madiev
Course Provider URL: http://bit.ly/AbbosjonMadiev
NumPy for Data Science Beginners: Learn the first step towards Data Science with the all-important concept of Numerical Python NumPy in Python For Data Science.
What you’ll learn In NumPy for Data Science
- Different Numpy function applied as Matrix/Array Operations
- Different Numpy function for Linear Algebra, Statistics, Math
- Numpy for Matplotlib visualization
- Numpy Quizzes
Requirements for NumPy for Data Science
Basic knowledge of Python Programming Language
Description of NumPy for Data Science
Wanna learn NumPy?
Look no further. This course covers everything from how to install and import NumPy to how to solve complex problems involving array creation, transformations, and random sampling.
The course is presented as a series of on-demand lecture style videos with lots of animated examples, code walkthroughs, and challenge problems to test your knowledge. Go as fast or as slow as you want.
It’s difficult to describe everything around us with just one number. The world is multidimensional. The data we are consuming, products we use on daily basis, from non-living organisms to living organisms require many features to fully characterize and quantify it.
So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn sci-kit-learn for the machine learning algorithm, you are at the right place.
This course introduces the majority of the concept of NumPy – numerical python library.
I will teach from what and why of NumPy to the all-important concept of N dimension data processing
This course covers the following topics.
- Why and What NumPy is
- NumPy installation
- Creating NumPy array
- Array indexing and slicing
- Array manipulation
- Mathematical & statistical function
- Linear algebra function
- How to persist NumPy array
- Numpy practical application on Images
- RGB Image to Grayscale conversion
- Apply average and edge detection filter on images
Go to my other course needed for Data Scientists. See you inside the course.
Who this course is for:
- Data Science Beginners
- Anyone who wants to learn how to process N-dimensional Data
- Anyone who wants to learn Numpy – Numerical Python Library.
Instructor: Abbosjon Madiev
Currently, I am a college student majoring in Computer Science. While I was learning programming languages, I struggled to find the best resource from which I can learn all the fundamentals. Because of this, I am creating a course where you can enjoy coding and learning. But everything I learned helped me to make new innovations and build my own startup.