Complete Python for Data Science & Machine Learning from A-Z (Udemy.com)

Welcome to my " Complete Python for Data Science & Machine Learning from A-Z " course.

Python with Machine Learning & Data Science, Data Visulation, Numpy & Pandas for Data Analysis, Kaggle projects from A-Z

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.

Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.
Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.

Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.

Do you want to learn one of the employer’s most requested skills? If you think so, you are at the right place. Python, machine learning, Django, python programming, machine learning python, python Bootcamp, coding, data science, data analysis, programming languages.

We've designed for you "Complete Python for Data Science & Machine Learning from A-Z” a straightforward course for the Complete Python programming language.

In the course, you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples.

This Python course is for everyone!

My "Python: Learn Python with Real Python Hands-On Examples" is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).

Why Python?

Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.

No prior knowledge is needed!

Python doesn't need any prior knowledge to learn it and the Ptyhon code is easy to understand for beginners.

What you will learn?

In this course, we will start from the very beginning and go all the way to programming with hands-on examples . We will first learn how to set up a lab and install needed software on your machine. Then during the course, you will learn the fundamentals of Python development like

• Installing Anaconda Distribution for Windows

• Installing Anaconda Distribution for MacOs

• Installing Anaconda Distribution for Linux

• Reviewing The Jupyter Notebook

• Reviewing The Jupyter Lab

• Python Introduction

• First Step to Coding

• Using Quotation Marks in Python Coding

• How Should the Coding Form and Style Be (Pep8)

• Introduction to Basic Data Structures in Python

• Performing Assignment to Variables

• Performing Complex Assignment to Variables

• Type Conversion

• Arithmetic Operations in Python

• Examining the Print Function in Depth

• Escape Sequence Operations

• Boolean Logic Expressions

• Order Of Operations In Boolean Operators

• Practice with Python

• Examining Strings Specifically

• Accessing Length Information (Len Method)

• Search Method In Strings Startswith(), Endswith()

• Character Change Method In Strings Replace()

• Spelling Substitution Methods in String

• Character Clipping Methods in String

• Indexing and Slicing Character String

• Complex Indexing and Slicing Operations

• String Formatting with Arithmetic Operations

• String Formatting With % Operator

• String Formatting With String.Format Method

• String Formatting With f-string Method

• Creation of List

• Reaching List Elements – Indexing and Slicing

• Adding & Modifying & Deleting Elements of List

• Adding and Deleting by Methods

• Adding and Deleting by Index

• Other List Methods

• Creation of Tuple

• Reaching Tuple Elements Indexing And Slicing

• Creation of Dictionary

• Reaching Dictionary Elements

• Adding & Changing & Deleting Elements in Dictionary

• Dictionary Methods

• Creation of Set

• Adding & Removing Elements Methods in Sets

• Difference Operation Methods In Sets

• Intersection & Union Methods In Sets

• Asking Questions to Sets with Methods

• Comparison Operators

• Structure of “if” Statements

• Structure of “if-else” Statements

• Structure of “if-elif-else” Statements

• Structure of Nested “if-elif-else” Statements

• Coordinated Programming with “IF” and “INPUT”

• Ternary Condition

• For Loop in Python

• For Loop in Python(Reinforcing the Topic)

• Using Conditional Expressions and For Loop Together

• Continue Command

• Break Command

• List Comprehension

• While Loop in Python

• While Loops in Python Reinforcing the Topic

• Getting know to the Functions

• How to Write Function

• Return Expression in Functions

• Writing Functions with Multiple Argument

• Writing Docstring in Functions