LinkedIn – Python for Data Engineering: from Beginner to Advanced 2024-1

LinkedIn – Python for Data Engineering: from Beginner to Advanced 2024-1 Downloadly IRSpace

LinkedIn – Python for Data Engineering: from Beginner to Advanced 2024-1
LinkedIn – Python for Data Engineering: from Beginner to Advanced 2024-1

Python for Data Engineering course: from Beginner to Advanced. Get up and running with the basics of Python before moving on to more advanced data engineering topics. In this hands-on and interactive course, join instructor Deepak Goyal to practice performing a wide variety of data engineering tasks in Python to sharpen your technical knowledge, prepare for an interview, or land a new role. This course includes code challenges designed by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can practice coding to advance your coding skills. Deepak helps you hone your skills as a Python programmer with six specific programming challenges. Explore the basics of the language, Python collections, file management, pandas, NumPy, OOP, and advanced data engineering tools that use Python. The course concludes with a capstone project focused on retail analysis.

What you will learn in Python for Data Engineering: from Beginner to Advanced course

  • Setting up the Python environment
  • Variables and data types
  • Operators and expressions
  • Control structures
  • Modules and packages
  • Error handling
  • tuple
  • the list
  • Collections
  • Dictionaries
  • File management in Python
  • Reading files as DataFrames
  • And …

Course details

  • Publisher: Linkedin
  • Lecturer: Deepak Goya
  • Training level: beginner to advanced
  • Training duration: 3 hours and 50 minutes

Course headings

Python for Data Engineering: from Beginner to Advanced

Course images

Python for Data Engineering: from Beginner to Advanced

Sample video of the course

Installation guide

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English subtitle

Quality: 720p

download link

Download file – 369 MB

File(s) password: www.downloadly.ir

Size

369 MB