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Learn to Code in Python 3: Programming beginner to advanced

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Learn to Code in Python 3: Programming beginner to advanced, available at $69.99, has an average rating of 4.46, with 45 lectures, based on 12853 reviews, and has 308548 subscribers.

You will learn about The basic fundamentals of programming and writing computer code Using Python to solve real life problems with computer programs Work with JSON and send HTTP requests to Web Servers and APIs to get data from external services Statistics and Data Visualization An introduction to Machine Learning in Python Use Python to manipulate files, such as Excel sheets and TXT files This course is ideal for individuals who are Any person who wants to learn to code from absolute beginner level or Any person who wants to solve problems and create great services using Python programs It is particularly useful for Any person who wants to learn to code from absolute beginner level or Any person who wants to solve problems and create great services using Python programs.

Enroll now: Learn to Code in Python 3: Programming beginner to advanced

Summary

Title: Learn to Code in Python 3: Programming beginner to advanced

Price: $69.99

Average Rating: 4.46

Number of Lectures: 45

Number of Published Lectures: 45

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

  • The basic fundamentals of programming and writing computer code
  • Using Python to solve real life problems with computer programs
  • Work with JSON and send HTTP requests to Web Servers and APIs to get data from external services
  • Statistics and Data Visualization
  • An introduction to Machine Learning in Python
  • Use Python to manipulate files, such as Excel sheets and TXT files

Who Should Attend

  • Any person who wants to learn to code from absolute beginner level
  • Any person who wants to solve problems and create great services using Python programs

Target Audiences

  • Any person who wants to learn to code from absolute beginner level
  • Any person who wants to solve problems and create great services using Python programs

In this course, learning to code will be easy and intuitive for you. You will learn Python 3, one of the most popular programming languages in the world.

We will cover the basic fundamentals of programming and you will learn how to do exciting things in Python, like reading and writing on files, like Excel sheets or TXT files, working with JSON and sending HTTP requests to web servers and APIs.

We will also cover a little bit of Data Visualization, Statistics and Machine Learning in Python.

This course does not require previous experience in IT or programming, it was designed to help any person learn to code. By the end of the course you will be writing you own programs and thinking like a programmer. Your professional life will get a huge upgrade.

This course offers life time access, a certificate of conclusion and a 30-day money back guarantee. Don’t miss this opportunity! Enroll now and start learning Python!

Course Curriculum

Chapter 1: Python Basics

Lecture 1: Installing Python on Mac

Lecture 2: Installing Python on Windows

Lecture 3: Statements

Lecture 4: Variables

Lecture 5: The Input Function

Lecture 6: Exercise – Km to Miles Converter

Chapter 2: Data Types

Lecture 1: Data Types: Strings

Lecture 2: Exercise – Strings

Lecture 3: Data Types: Numbers

Lecture 4: Exercise – Numbers

Lecture 5: Data Types: Lists and Tuples

Lecture 6: Exercise – Lists and Tuples

Lecture 7: Data Types: Dictionaries

Lecture 8: Exercise – Dictionaries

Lecture 9: Data Types: Booleans

Lecture 10: Exercise – Booleans

Chapter 3: Conditionals, Loops, Functions and more

Lecture 1: Conditionals (if, elif, else)

Lecture 2: AND / OR operators

Lecture 3: Exercise – Conditionals

Lecture 4: While Loops

Lecture 5: For Loops

Lecture 6: Exercise – Loops

Lecture 7: Data Validation

Lecture 8: Error Handling

Lecture 9: Exercise – Error Handling

Lecture 10: Functions

Chapter 4: Modules

Lecture 1: Time

Lecture 2: Matplotlib

Lecture 3: Exercise – Time & Matplotlib.Pyplot

Lecture 4: Requests

Lecture 5: Sending HTTP Requests to APIs

Lecture 6: Working With JSON

Lecture 7: Exercise – Requests & Json (Part 1)

Lecture 8: Exercise – Requests & Json (Part 2)

Chapter 5: File Handling

Lecture 1: File Handling Basics – Create, Read, Write & Append

Lecture 2: Reading Excel Sheets

Chapter 6: Introduction to Machine Learning

Lecture 1: Introduction to Machine Learning

Lecture 2: The Iris Dataset

Lecture 3: Applying the KNN Model

Lecture 4: Splitting Data Intro Train and Test Groups

Lecture 5: Exercise KNN – Picking the Best Value Of K

Lecture 6: The Logistic Regression Model

Lecture 7: Applying the Logistic Regression Model

Lecture 8: What's next in Machine Learning?

Chapter 7: The Final Project

Lecture 1: Project Overview

Instructors

Rating Distribution

  • 1 stars: 92 votes
  • 2 stars: 164 votes
  • 3 stars: 1337 votes
  • 4 stars: 4824 votes
  • 5 stars: 6424 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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