Explanation
Data Preprocessing in NumPy is a complete course for teaching NumPy, ndrarays, Truncation, random generators, importing and storing data, statistics, data manipulation, preprocessing, etc. . Most data analysis, data science and coding courses miss an important practical step. They don’t teach you how to work with raw data, how to clean it and prepare it. This creates a huge gap between the skills you need on the job and the skills you have acquired through education. Our goal is to provide you with complete preparation using the NumPy library. This course will turn you into a competent data analyst with a thorough understanding of one of the world’s most popular computing packages.
What you will learn in this course:
- Methods
- Package and library definitions.
- Installing and updating packages
- Submit the documents
- History of NumPy
- The relationship between arrays and vectors
- Arrays vs Lists
- and many more
Who is this course for:
- Aspiring data analysts
- Start of programs
- People interested in data analysis through Python.
- Analysts interested in specializing in Python.
- Finance graduates and professionals who need to put their knowledge to good use in Python.
Course specifications:
- Publisher: Udemy
- Teachers: 365 Skills
- Language : English
- Level : All Levels
- Duration : 6h 44m
- number of lessons: 77
- Format: mp4
The course includes:
Requirements:
- You will need to install Python.
- No prior experience with NumPy is required.
- Some general understanding of coding languages is preferred, but not required.
NumPy Data Preview Images
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
subtitle: English
Quality: 720p
Download links:
Password: free download software
File size:
2.2GB