Description
Python Functions for Data Science is a course on the power of Python functions for data science workflows published by LinkedIn Online Academy. You’ll learn how to write reusable, efficient, and modular functions to clean, process, and analyze data, and how to use Python’s built-in functions alongside libraries like NumPy, pandas, and matplotlib for common data tasks. The course covers key topics such as defining custom functions, handling arguments and return values, working with lambda functions, applying functions to datasets, and using functional programming concepts to transform data.
Get to know the core Python tools that support real-world analysis and decision-making, and focus on making your code more readable and reusable. Manipulate data with NumPy and pandas. Master the art of visualization using matplotlib and seaborn to identify trends and relationships. Discover how to effectively aggregate, transform, and visualize your data to extract meaningful insights. Gain insight into common pitfalls and mistakes when using functions, and ensure a smooth workflow in your data science projects. This course is perfect for data scientists looking to improve their skills with Python’s powerful functions.
What you will learn in Python Functions for Data Science:
- Python Essentials
- NumPy and SciPy Basics
- Pandas for Data Manipulation
- Visualization Essentials
- And…
Course specifications
Publisher: LinkedIn
Instructors: Madecraft
Language: English
Level: Intermediate
Number of Lessons: 25
Duration: 1h 35m
Course topics
Python Functions for Data Science Prerequisites
None
Pictures
Python Functions for Data Science introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
145 MB
