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 don't 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 don't 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 don't 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 don't 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:
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Introduction to computers and programming
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Installing required software for learning Python 3
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Getting Started with Python programming
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Data basics in Python
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Writing multi-line programs vs Console instructions
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Variables and Arithmetic
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Boolean Numbers and Binary Operations
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Input and type casting
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Conditions and decision making
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Repeating code using loops
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Code Reusability – Functions
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Problem solving using Functions
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Recursion
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Introduction to Modules
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Introducing Lists and composite data types
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Data Sorting using Lists
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2D, 3D and higher dimension lists
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Sets, Tuples and Dictionaries
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File handling and persistent storage
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Handling CSV files, opening, searching, sorting and adding data to CSV
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Exceptions and Errors
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Creating Graphical User Interface (GUI) in python
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Object Oriented Programming
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Inheritance, Multiple Inheritance and Polymorphism
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Programming is simple using Object Oriented Programming
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Operator Overloading
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Data Structures – Introduction to Queue
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Data Structures – Stack
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Introduction to Graph Theory
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Using Graphs and handling data in graphs using Python
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Threading in Python
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Introduction to Internet and web requests
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Weather App Project- A web service example
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IP address locator Project – A web service example
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Introduction to Machine Learning
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Introduction to NumPy
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Introduction to Pandas
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Data Visualization – Matplotlib and Seaborn
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Linear Regression
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Decision Trees
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Naïve Bayes Algorithm
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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?
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Absolute beginners, the programming novice who never programmed in any language before
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Programmers who know how to code in other languages, can become Python expert with this course
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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 it's 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
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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!
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