Master Python For Data Handling

Learn to master the Python programming language and how to use Python for advanced Data Handling

What you'll learn

Master Python Programming - data types, native data structures, data transformers, functions, and logic

Python Object Oriented Programming - understand object orientation, create custom advanced objects, methods, and and functions, learn to generalize functions

Data Handling - understand data handling, transform, manipulate, and calculate data. Move data between common file formats and data structures

Advanced Data Handling - understand and use advanced multi-dimensional uneven data structures How to generalize functions

Cloud Computing - use Anaconda Cloud Notebook (Jupyter Notebook). Learn to use Cloud Computing resources

Optional: use Anaconda Distribution's Jupyter Notebook and Conda package management system

Requirements

Everyday experience using a computer with Windows, MacOS, or Linux is recommended

Access to a computer with an internet connection

Programming experience is not needed

The course only uses costless software

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

Description

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 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:Python ProgrammingPython's data types (integer, float, string)Python’s native data structures (set, tuple, dictionary, list)Python’s data transformers, functions, object orientation and logicHow to make your own custom advanced functions and how to generalize functionsHow to make your own custom advanced objectsData HandlingHow to transform, manipulate, and calculate dataHow to move data around between common file formats and data structuresHow to use advanced multi-dimensional uneven data structuresCloud Computing: To use the web browser-based Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud Computing resources in this course.Option: To use the Anaconda Distribution (Windows, Mac, Linux, and more)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.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 tolearn to Master Python 3 from scratch or the absolute beginner levellearn to Master Python 3 and knows another programming languagereach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learninglearn Data Handling with Pythonlearn advanced Data Handling and improve their capabilities and productivityRequirements:Everyday experience using a computer with Windows, MacOS, or Linux is recommendedAccess to a computer with an internet connectionProgramming experience is not neededThe course only uses costless softwareWalk-you-through installation and setup videos for Windows is includedThis 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!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Setup of the Anaconda Cloud Notebook

Lecture 3 Download and installation of the Anaconda Distribution (optional)

Lecture 4 The Conda Package Management System (optional)

Section 2: Master Python for Data Handling

Lecture 5 Overview of Python for Data Handling

Lecture 6 Python Integer

Lecture 7 Python Float

Lecture 8 Python Strings I

Lecture 9 Python Strings II: Intermediate String Methods

Lecture 10 Python Strings III: DateTime Objects and Strings

Lecture 11 Overview of Python Native Data Storage Structures

Lecture 12 Python Set

Lecture 13 Python Tuple

Lecture 14 Python Dictionary

Lecture 15 Python List

Lecture 16 Overview of Python Data Transformers and Functions

Lecture 17 Python While-loop

Lecture 18 Python For-loop

Lecture 19 Python Logic Operators and conditional code branching

Lecture 20 Python Functions I: Some theory

Lecture 21 Python Functions II: create your own functions

Lecture 22 Python Object Oriented Programming I: Some theory

Lecture 23 Python Object Oriented Programming II: create your own custom objects

Lecture 24 Python Object Oriented Programming III: Files and Tables

Lecture 25 Python Object Oriented Programming IV: Recap and More

Anyone who wants to learn to Master Python 3 from scratch or the absolute 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 advanced Udemy courses,Anyone who wants to learn Data Handling with Python,Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity