Mastering Python From Novice to Ninja (Beginner to Expert)

Mastering Python – From Novice to Ninja (Beginner to Expert), available at $84.99, has an average rating of 4.5, with 273 lectures, based on 59 reviews, and has 242 subscribers.

You will learn about Start fresh and build command on Python programming – Acquired the most hired tech skill employers are looking for. Master problem solving and building software that can scale and grow with time. Learn to handle acquire, manage, modify and manipulate data from a variety of sources. Data is the basis for the machine learning and data science etc. Learn how to make and use data structures in Python – Complete data structures course with examples Master Object Oriented Programming in Python – Complete OOP course with examples Create Graphical User interfaces in Python – Complete section with examples Learn graph theory and data handling with graphs using Python Learn to access web, make web service requests and make useful data utilizing the web services – Complete examples included Introduction to Machine Learning using Python including Numpy, Pandas, Matplotlib, ScikitLearn, Regression, Decision Trees, Clustering, Naive Bayes Algo & more This course is ideal for individuals who are Those who want to build your career and earn big salary with the most hired skill in the market or Beginners who want to start fresh and want to master the programming language. or Those who want to switch from other languages to Python and be a champ in Python or Professionals who never knew how to program, Python is easy and this course is for you. or Students looking to learn Machine Learning but dont have a programming background or Young school kids learning their first programming language or College students who want to learn programming for their day to day problem solving or Decision makers and leaders in organizations who want to learn the language to lead from the front or Teachers who have been teaching other programming languages, want to switch to Python or Students looking to start their career in data sciences, this course is a must It is particularly useful for Those who want to build your career and earn big salary with the most hired skill in the market or Beginners who want to start fresh and want to master the programming language. or Those who want to switch from other languages to Python and be a champ in Python or Professionals who never knew how to program, Python is easy and this course is for you. or Students looking to learn Machine Learning but dont have a programming background or Young school kids learning their first programming language or College students who want to learn programming for their day to day problem solving or Decision makers and leaders in organizations who want to learn the language to lead from the front or Teachers who have been teaching other programming languages, want to switch to Python or Students looking to start their career in data sciences, this course is a must.

Enroll now: Mastering Python – From Novice to Ninja (Beginner to Expert)

Summary

Title: Mastering Python – From Novice to Ninja (Beginner to Expert)

Price: $84.99

Average Rating: 4.5

Number of Lectures: 273

Number of Published Lectures: 273

Number of Curriculum Items: 273

Number of Published Curriculum Objects: 273

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Start fresh and build command on Python programming – Acquired the most hired tech skill employers are looking for.

Master problem solving and building software that can scale and grow with time.

Learn to handle acquire, manage, modify and manipulate data from a variety of sources. Data is the basis for the machine learning and data science etc.

Learn how to make and use data structures in Python – Complete data structures course with examples

Master Object Oriented Programming in Python – Complete OOP course with examples

Create Graphical User interfaces in Python – Complete section with examples

Learn graph theory and data handling with graphs using Python

Learn to access web, make web service requests and make useful data utilizing the web services – Complete examples included

Introduction to Machine Learning using Python including Numpy, Pandas, Matplotlib, ScikitLearn, Regression, Decision Trees, Clustering, Naive Bayes Algo & more

Who Should Attend

Those who want to build your career and earn big salary with the most hired skill in the market

Beginners who want to start fresh and want to master the programming language.

Those who want to switch from other languages to Python and be a champ in Python

Professionals who never knew how to program, Python is easy and this course is for you.

Students looking to learn Machine Learning but dont have a programming background

Young school kids learning their first programming language

College students who want to learn programming for their day to day problem solving

Decision makers and leaders in organizations who want to learn the language to lead from the front

Teachers who have been teaching other programming languages, want to switch to Python

Students looking to start their career in data sciences, this course is a must

Target Audiences

Those who want to build your career and earn big salary with the most hired skill in the market

Beginners who want to start fresh and want to master the programming language.

Those who want to switch from other languages to Python and be a champ in Python

Professionals who never knew how to program, Python is easy and this course is for you.

Students looking to learn Machine Learning but dont have a programming background

Young school kids learning their first programming language

College students who want to learn programming for their day to day problem solving

Decision makers and leaders in organizations who want to learn the language to lead from the front

Teachers who have been teaching other programming languages, want to switch to Python

Students looking to start their career in data sciences, this course is a must

Become a master of Python programming and get hired instantly with the most hired skill in 2024

This is the most detailed Python course on Udemy that will cover a vast variety of topics from the absolute basics all the way to expert-level, that we call a Python-Ninja. The course has more than 250 recorded video lectures, more than 40 hours of instructions, number of projects, homework and exercises to follow.

You learn the skills that are highly in demand in the industry today like machine learning, accessing web-services, object-oriented programming, data visualization and manipulation, data structures and more.

The course teaches you Python 3 in such a simple manner that you should be able to grasp and practice the code on your own alongside the lectures. The examples are simple to understand yet very relevant to real world requirements.

We start from the very beginning by helping you install required software on popular platforms like Windows, Linux and Mac. The course starts with basics of computers, how computers work, how data is represented and how programs solve problems on computers. Beginners can start from scratch even if they don’t know programming at all.

The course is equally useful if you’re moving from another programming language to Python. This course will get you up to speed with Python Syntax and you’ll be a Python Ninja in no time.

If you already know python basics, the course will teach you advanced topics. You can jump to later lectures and study the topics you don’t know. Complete this course, become an expert and add value to your resume today.

The course will make you complete a number of full-scale projects. The course comes with regular homework and exercises, quizzes and code samples to keep you on track with your Python learning.

The course content:

Introduction to computers and programming

Installing required software for learning Python 3

Getting Started with Python programming

Data basics in Python

Writing multi-line programs vs Console instructions

Variables and Arithmetic

Boolean Numbers and Binary Operations

Input and type casting

Conditions and decision making

Repeating code using loops

Code Reusability – Functions

Problem solving using Functions

Recursion

Introduction to Modules

Introducing Lists and composite data types

Data Sorting using Lists

2D, 3D and higher dimension lists

Sets, Tuples and Dictionaries

File handling and persistent storage

Handling CSV files, opening, searching, sorting and adding data to CSV

Exceptions and Errors

Creating Graphical User Interface (GUI) in python

Object Oriented Programming

Inheritance, Multiple Inheritance and Polymorphism

Programming is simple using Object Oriented Programming

Operator Overloading

Data Structures – Introduction to Queue

Data Structures – Stack

Introduction to Graph Theory

Using Graphs and handling data in graphs using Python

Threading in Python

Introduction to Internet and web requests

Weather App Project- A web service example

IP address locator Project – A web service example

Introduction to Machine Learning

Introduction to NumPy

Introduction to Pandas

Data Visualization – Matplotlib and Seaborn

Linear Regression

Decision Trees

Na?ve Bayes Algorithm

Clustering and K Means Algorithm

You’ll receive a course completion certificate at the end of the course that you can showcase to your potential employer or can share it on your LinkedIn profile.

For some reason, if you don’t find the course the best fit, the course comes with a 30-day money back guarantee.

So, what are you waiting for? Signup for the course today and become a Python Ninja!

Who should join?

Absolute beginners, the programming novice who never programmed in any language before

Programmers who know how to code in other languages, can become Python expert with this course

Those who know python basics, can upgrade their skills by completing this course

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Skills needed to start this course

Lecture 3: How to get the-most out of this course

Lecture 4: Basics of Computers and How they work

Lecture 5: How we represent text, numbers and pictures in computers

Lecture 6: What is an algorithm and what is a computer program

Lecture 7: What is a compiler and an interpreter

Chapter 2: Getting Started with Python

Lecture 1: Section Introduction

Lecture 2: Software Setup for Python – on Windows

Lecture 3: Software Setup for Python – on Mac OS

Lecture 4: Python setup for Python – on Linux

Lecture 5: Starting Python Programming – Hello World

Lecture 6: Trying basic arithmetic in Python

Chapter 3: Data Basics in Python

Lecture 1: Section Introduction

Lecture 2: Literals, objects and scalars in Python

Lecture 3: Mixing data type arithmetic

Lecture 4: What is a variable and how to use it

Lecture 5: A few variable examples – How to use variables

Lecture 6: A request

Chapter 4: Writing our first multi-line program

Lecture 1: Section Introduction

Lecture 2: Interactive programming vs Multi-line program

Lecture 3: Creating, saving and running .py files

Lecture 4: Printing text and numbers

Lecture 5: First name Last name example – step by step code and its sequence

Lecture 6: Using variables in a program

Chapter 5: Variables and Arithmetic

Lecture 1: Section Introduction

Lecture 2: Variable naming rules and reserved words/keywords

Lecture 3: Using variables with arithmetic operators – example

Lecture 4: Operator precedence and how brackets make a difference

Lecture 5: Modulo and division operator

Lecture 6: Logical and comparison operators

Lecture 7: Assignment Operators and self assignments

Lecture 8: Homework – Section 5

Lecture 9: Homework Solution

Chapter 6: Boolean Numbers and Binary Operations

Lecture 1: Section Introduction

Lecture 2: Binary numbers and their representation

Lecture 3: Left shift and right shift operator

Lecture 4: Binary AND, OR and NOT operators

Chapter 7: Input and type-casting

Lecture 1: Section Introduction

Lecture 2: Taking input from users

Lecture 3: Strings vs Numbers

Lecture 4: Type casting – Converting Data Types

Lecture 5: Using comments in code

Lecture 6: Homework – Section 7

Lecture 7: Homework Solution

Chapter 8: Conditions and decision making

Lecture 1: Section Introduction

Lecture 2: Solving more complex problems

Lecture 3: Creating flowchart basics to solve problems

Lecture 4: If-condition and how it works – with examples

Lecture 5: Adding else to if-condition

Lecture 6: Importance of code indentation and how it works

Lecture 7: Nested conditions and more complex decision making

Lecture 8: Homework – Section 8

Chapter 9: Repeating code – Control Statements

Lecture 1: Section introduction

Lecture 2: What are control statements

Lecture 3: Using repetition to solve problems

Lecture 4: Loops in Python – Introduction to While loop

Lecture 5: For loop and their types

Lecture 6: A few examples with loops

Chapter 10: More examples Using loops

Lecture 1: Section introduction

Lecture 2: Nesting conditions and loops

Lecture 3: Infinite loop, break and continue

Lecture 4: Repeated input for validity check

Lecture 5: Repeated Input – Student average (input and average)

Lecture 6: CGPA advisor example

Lecture 7: Homework – Section 10

Chapter 11: Code Reusability – Functions

Lecture 1: Introduction to the section

Lecture 2: Organizing code by packing them into functions

Lecture 3: What is a function, how it is similar to trigonometric functions

Lecture 4: Function parameters

Lecture 5: Function Example 1: Factorials , return statement

Lecture 6: Function Example 2: Prime Numbers

Lecture 7: Function Example 3: Last Digit, First Digit, Digit Separation

Lecture 8: 25% Course Complete

Lecture 9: Homework – Section 11

Chapter 12: More on Functions

Lecture 1: Introduction

Lecture 2: Calling function within a function

Lecture 3: Variable Scope and visibility in functions

Lecture 4: Introduction to Recursion and how it solves problems

Lecture 5: Recursion Example 1 – Sum of first N numbers

Lecture 6: Recursion Example 2 – Nth power of 2

Lecture 7: Recursion vs Iteration

Lecture 8: Homework – Section 12

Chapter 13: Introduction to Modules

Lecture 1: Section Introduction

Lecture 2: What are Modules and how to use them

Lecture 3: Importing only selective functions from a file

Lecture 4: Locating modules and python searchpath

Instructors

Basit Ali
A technology trainer, entrepreneur and a tech enthusiast.

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 4 votes

4 stars: 10 votes

5 stars: 44 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!