Master Pandas and Python for Data Handling

Master Pandas and Python for Data Handling
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 21h 47m | 8.16 GB

Instructor: Henrik Johansson
Learn to Master Python, Pandas and Advanced Data Handling for Data Analysis, Data Science, and Machine Learning

What you'll learn

Master Python programming with Python's native data structures, data transformers, functions, object orientation, and logic
Use and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File Handling
Use Python's advanced object-oriented programming and make your own custom objects, functions and how to generalize functions
Manipulate data and use advanced multi-dimensional uneven data structures
Master the Pandas library for Advanced Data Handling
Use the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas D
Use file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methods
Perform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of data
Make advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data
[Bonus] Make advanced Data Visualizations with Pandas, Matplotlib, and Seaborn
Perform Advanced Data Handling
[Cloud computing]: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources.
Option: To use the Anaconda Distribution (for Windows, Mac, Linux)
Option: Use Python environment fundamentals with the Conda package management system

Requirements

Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended

Access to a computer with an internet connection

Programming experience is not needed and you will be taught everything you need

The course only uses costless software

Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included

Description

This two-in-one video course will teach you to master Python 3, Pandas 2-3, and Data Handling.

Python 3 is one of the most popular programming languages in the world, and Pandas 2 and future 3 is the most powerful, efficient, and useful Data Handling library in existence.

You will learn to master Python's native building blocks and powerful object-oriented programming. You will design your own advanced constructions of Python's building blocks and execute detailed Data Handling tasks with Python.

You will learn to master the Pandas library and to use its powerful Data Handling techniques for advanced Data Science, Statistics, and Machine Learning Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language.

This course is an excellent way to learn to master Python, Pandas and Data Handling! Data Handling is the process of making data useful and usable for data analysis. Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks.

Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.

Who this course is for:

Anyone who wants to learn to Master Python 3 from scratch or the beginner level
Anyone who wants to learn to Master Python 3 and knows another programming language
Anyone who wants to reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
Anyone who wants to learn Data Handling with Python
Anyone who wants to learn to Master the Pandas library
Anyone who wants to learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career
Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity