Description
Learn Numpy, pandas, and pyspark for ETL testing from scratch. This comprehensive course teaches the essential skills for ETL testing and machine learning in a hands-on manner using the NumPy, Pandas, and PySpark libraries. The course starts with a strong emphasis on NumPy and covers its fundamentals thoroughly, as understanding these fundamentals will facilitate learning the structure of DataFrames in Pandas and PySpark. A full section is then dedicated to Pandas to help learners get started effectively with this library and overcome initial challenges. There is also a detailed section on PySpark that provides practical solutions for installing and running this framework on Windows and addresses common obstacles to getting started. The course is structured into 11 sections, 9 of which are dedicated to comprehensive NumPy training. Ultimately, this course prepares learners to enter the job market in the areas of ETL pipeline testing and machine learning.
What you will learn
- Mastery of Python for data analysis:
- Write efficient Python code to manipulate, cleanse, and transform data using core programming concepts.
- Using NumPy for numerical calculations:
- Perform high-performance numerical operations, array manipulation, and mathematical calculations using NumPy.
- Analyzing and manipulating data with Pandas:
- Clean, explore, and analyze structured datasets using Pandas DataFrames, including handling missing data, grouping, and more.
- Big data processing with PySpark:
- Scaling data processing using PySpark, including distributed computing, SQL operations, and performance optimization for big data.
This course is suitable for people who:
- This course is suitable for anyone who has basic knowledge of Python but wants to learn NumPy, Pandas, and PySpark for ETL testing.
- This course is useful for those who want to become a data scientist, ETL engineer, or machine learning engineer.
Course details
- Publisher: Udemy
- Instructor: Saad Fazelpour
- Training level: Beginner to advanced
- Training duration: 16 hours and 55 minutes
- Number of lessons: 55
Course syllabus as of 2025/10
Prerequisites for the Learn Numpy pandas and pyspark for ETL testing from scratch course
- The only requirement for this course is prior knowledge of python basics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
6.5 GB
