

This video course will teach you to master Python 3, one of the most popular programming languages in the world.
You will learn to master Python’s native building blocks and powerful object-oriented programming to make you able to use Python for Data Science and Machine Learning Data Handling tasks. You will learn to design your own advanced constructions of Python’s building blocks and execute detailed data handling tasks using these building blocks with limited assistance from file handling libraries.
You will learn:
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Python Programming
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Python’s data types (integer, float, string)
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Python’s native data structures (set, tuple, dictionary, list)
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Python’s data transformers, functions, object orientation and logic
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How to make your own custom advanced functions and how to generalize functions
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How to make your own custom advanced objects
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Data Handling
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How to transform, manipulate, and calculate data
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How to move data around between common file formats and data structures
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How to use advanced multi-dimensional uneven data structures
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Cloud Computing: To use the web browser-based Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud Computing resources in this course.
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Option: To use the Anaconda Distribution (Windows, Mac, Linux, and more)
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Option: Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages – golden nuggets to improve your quality of work life.
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And much more…
This course is an excellent way to learn to master Python and Data Handling! Data Handling is the process of making data useful and usable for data analysis. Most Data Scientists and Machine Learners spends about 80% of their working efforts and time on Data Handling tasks. Being good at Data Handling and Python are extremely useful and time-saving skills that functions as a force multiplier for productivity.
This course is designed for anyone who wants to
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learn to Master Python 3 from scratch or the absolute beginner level
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learn to Master Python 3 and knows another programming language
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reach the Master – intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
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learn Data Handling with Python
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learn advanced Data Handling and improve their capabilities and productivity
Requirements:
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Everyday experience using a computer with Windows, MacOS, or Linux is recommended
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Programming experience is not needed
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The course only uses costless software
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Walk-you-through installation and setup videos for Windows is included
This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn the Python and Data Handling.
Enroll now to receive 9+ hours of detailed video tutorials with manually edited English captions, and a certificate of completion after completing the course!
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1Introduction
Introduction to Master Python for Data Handling
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2Setup of the Anaconda Cloud Notebook
This video describes the setup procedures to use Anaconda Cloud Notebook.
Using Anaconda Cloud Notebook requires internet access.
Note: Anaconda often updates its resources and this may cause minor differences in graphics and procedures.
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3Download and installation of the Anaconda Distribution (optional)
This video describes the procedures to download and install the Anaconda Distribution for use with this course.
Download requires internet access.
Video is optional.
Note: Anaconda often updates its resources and this may cause minor differences in graphics and procedures.
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4The Conda Package Management System (optional)
This video describes the Conda Package Management System.
Conda requires internet access.
Video is optional.
Note: Conda is a speedily developing environment and this may cause minor differences in graphics and procedures.