Introduction to Python for Beginners

Introduction to Python for Beginners, available at $54.99, has an average rating of 3.95, with 70 lectures, 7 quizzes, based on 16 reviews, and has 119 subscribers.

You will learn about Put their skills into practice with a real Python project What is Python and why was it created. How Python fits into the diverse ecosystem of programming languages. The basic data types in Python – Strings, Integers, Floats, and Boolean All about Pythons built-in functions How to debug errors in Python How Variables and Functions work in Python How to use IF-Else Statements in Python All about storing complex data, including Lists and Dictionaries How to install Python locally How to write your first script in Python This course is ideal for individuals who are People looking to learn the Python Programming Language It is particularly useful for People looking to learn the Python Programming Language.

Enroll now: Introduction to Python for Beginners

Summary

Title: Introduction to Python for Beginners

Price: $54.99

Average Rating: 3.95

Number of Lectures: 70

Number of Quizzes: 7

Number of Published Lectures: 70

Number of Published Quizzes: 7

Number of Curriculum Items: 77

Number of Published Curriculum Objects: 77

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Put their skills into practice with a real Python project

What is Python and why was it created.

How Python fits into the diverse ecosystem of programming languages.

The basic data types in Python – Strings, Integers, Floats, and Boolean

All about Pythons built-in functions

How to debug errors in Python

How Variables and Functions work in Python

How to use IF-Else Statements in Python

All about storing complex data, including Lists and Dictionaries

How to install Python locally

How to write your first script in Python

Who Should Attend

People looking to learn the Python Programming Language

Target Audiences

People looking to learn the Python Programming Language

**Includes exercises and a Python Project!**

If you need to get a better tool for handling data, it’s time you got to know Python, and this Python for Beginners course is the perfect place to start.

Python is one of the most popular languages for data analysis and business intelligence. In this introductory course, we assume no prior knowledge and guide you through getting set up and started.

With practice exercises and a full end of course project to complete, you’ll quickly get to grips with this powerful programming language.

In this course, you will learn:

The basic data types in Python – Strings, Integers, Floats, and Boolean

All about Pythons built-in functions

How Variables and Functions work in Python

How to debug errors in Python

All about Python Keywords

How to use IF-Else Statements in Python

All about storing complex data, including Lists and Dictionaries

All about Python Modules and how to install them

How to install Python locally

How to write your first script in Python

To complete your first Python project

This course includes:

1. 6 hours of video tutorials

2. 67 individual video lectures

3. Exercise files to practice what you learned

4. A Python projectat the end of the course to implement what you have learned

5. Certificate of completion

Here’s what our students are saying…

“Very instructive, nice presentation with clear explanations. The Instructor voice is calm and can be understood very well.”

– Stefan

“Thank you for such a wonderful teaching. This is a great learning experience for me.”

– Ankush

Course Curriculum

Chapter 1: The Workplace Tech Divide

Lecture 1: Which Side of the Divide Are You On?

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Course Exercise Files

Lecture 4: DOWNLOAD ME: Course Project Files

Lecture 5: Beginners Are Welcome

Lecture 6: Course Overview

Chapter 2: Introduction to Python

Lecture 1: What is Python?

Lecture 2: Pythons Comparison to Other Programming Languages

Lecture 3: Examples of Python in the Workplace

Lecture 4: The Easiest Place to Practice Python

Lecture 5: Create an Account Online

Chapter 3: Basic Data Types

Lecture 1: Python Data Types

Lecture 2: Strings

Lecture 3: Integers

Lecture 4: Floats

Lecture 5: Boolean

Lecture 6: Data Types Exercise

Chapter 4: Python Built-In Functions

Lecture 1: What is a Built-In Function?

Lecture 2: Where to Look For Built-In Functions

Lecture 3: Most Common Built In Functions

Lecture 4: Built In Functions Exercise

Chapter 5: Variables and Functions

Lecture 1: Variables and Functions

Lecture 2: Storing Values as Variables

Lecture 3: Comparing Variables with Operators

Lecture 4: Basic Expressions

Lecture 5: Functions

Lecture 6: Commenting

Lecture 7: Variables and Functions Exercise

Chapter 6: Errors and Debugging

Lecture 1: What is an Error?

Lecture 2: Reading a Stack Trace

Lecture 3: Print Function

Lecture 4: Try and Except

Lecture 5: You Are Not Alone

Lecture 6: Errors Exercise

Chapter 7: Python Keywords

Lecture 1: Python Keywords

Lecture 2: Common keywords

Lecture 3: Global

Lecture 4: Keywords Exercise

Chapter 8: If-Else Statements

Lecture 1: Basic Logic

Lecture 2: Syntax and Inline Evaluation

Lecture 3: Value Evaluation

Lecture 4: Complex If-Else Statements

Lecture 5: If-Else Exercises

Chapter 9: Storing Complex Data

Lecture 1: Advanced Data Types

Lecture 2: Lists

Lecture 3: Dictionaries

Lecture 4: Looping: Lists

Lecture 5: Looping: Dictionaries

Lecture 6: Advanced Data Exercise

Chapter 10: Python Modules

Lecture 1: Python Modules

Lecture 2: Python Built In Modules

Lecture 3: Importing Modules

Chapter 11: Installing Python and Modules

Lecture 1: Python Environments

Lecture 2: Mac

Lecture 3: Windows

Lecture 4: IDEs

Lecture 5: Python Idle

Lecture 6: Managing files and folders

Lecture 7: Executing Scripts

Lecture 8: PIP

Chapter 12: Project: Automate Data Updates For a Spreadsheet

Lecture 1: Project Introduction

Lecture 2: Setting Up Project

Lecture 3: Reading and Writing to Excel Files

Lecture 4: Working with CSV Files

Lecture 5: Dynamic File Paths

Lecture 6: Transform and Validate Transactions

Lecture 7: Transfer and Save Transactions

Lecture 8: Clean Up the Code

Lecture 9: Hardening the Script

Chapter 13: Course Close

Lecture 1: Whats Next?

Instructors

Simon Sez IT
870,000+ Students, 260+ Courses, Learners in 180+ Countries

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 5 votes

4 stars: 10 votes

5 stars: 1 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!