Python Programming Course - ITU Online

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Python Programming Course

Python, which has been around for nearly three decades, is one of the most widely used programming languages in existence. This Python programming course is particularly helpful to data scientists and machine learning professionals, Python stands out due to its ease-of-use – it’s no wonder that universities now make it their go-to language when teaching coding.

Included In This Course

Included In This Course

Total Hours
7  Training Hours
Python Programming Course
33 On-demand Videos
Closed Caption

Closed Captions

Course Topics
25  Topics
Prep Questions
57 Prep Questions
Python Programming Course

Certificate of Completion

Course Description

Learn Python in this Python Programming Course

Comprehensive Python Programming Course Overview

Python, a cornerstone in the programming world for nearly three decades, is pivotal in fields like data science and machine learning. Renowned for its user-friendly approach, Python is a primary choice for academic instruction in coding, offering a foundation in technology’s fast-evolving landscape.

Course Description: Master Python for Diverse Applications

This Python Programming Course covers everything from Python’s open-source benefits to its general-purpose applications. With its simple syntax, Python is an ideal starting point for newcomers to programming, balancing ease of learning with powerful capabilities in data science, machine learning, and beyond.

Diverse Python Applications in Tech Industries

Explore Python’s wide-ranging utility in technology sectors: web development through Django and Flask, data science with Numpy and Pandas, machine learning using Tensorflow, desktop and mobile app development, and more. This course underscores Python’s critical role in advancing tech innovations.

Python Developer Career Path: Salary and Opportunities

Embark on a lucrative career path with Python skills. In the United States, Python developers can expect an average salary of $117,155 per year, with opportunities spanning various industries and specializations.

Course Modules and Learning Pathway

Our course offers a comprehensive curriculum, starting from Python basics to advanced concepts. Modules include primitive data types, operators, loops, file handling, and more, structured to ensure a thorough understanding of Python programming.

Target Audience: Who Benefits from Learning Python

This course is ideal for aspiring developers, data scientists, machine learning enthusiasts, and anyone interested in a future-proof skill set in technology. Python’s versatility makes it a valuable asset across numerous tech domains.

Key Highlights of the Python Programming Course

Standout features of this course include its in-depth content, flexible online access, and expert instruction from seasoned IT professionals. With ITU’s commitment to quality, learners receive an unparalleled educational experience.

Where is Python Used?

  • Web Development, using the frameworks Django, Flask, Pylons
  • Data Science and Visualization using Numpy, Pandas and Matplotlib
  • Machine learning with Tensorflow and Scikit-learn
  • Desktop applications with PyQt, Gtk, wxWidgets and many more
  • Mobile applications using Kivy or BeeWare
  • Education: Python is a great language to learn to program

Job Market Analysis for Python Skills

Python’s growing significance is evident in the job market, with increasing demand for Python skills across various sectors. This course prepares you to meet the needs of today’s technology-driven economy.

How much can you make?

The average salary for a Python Developer is $117,155 per year in the United States. You can just search for Python jobs and see the ranges from $20/hr to over $40/hr.

Our Python programming course will teach you and show you the basics of Python programming. We will go over concepts like loops, variables, operators, syntax, and coding practices. With each module, we will build upon your knowledge from the previous module. This reinforces all the concepts along the way and at the end of some modules in our Python programming course, you will work on exercises to prove to yourself you can do this.

After taking this Python programming course you will be ready to move on to a move advanced course allowing you to build on the foundation this course provides. You will be making more sophisticated and more robust programs in no time using your new skills.

For complete information on this certification course, please visit the Python website for details.

Frequently Asked Questions About Python Programming Course

What can I expect to learn from this Python Programming Online Course?

This training course teaches Python, one of the most widely used programming languages, particularly popular in data science and machine learning fields. You’ll start with the basics and work your way up to more complex concepts, making it suitable whether you’re a beginner or already have some coding experience. The online course is structured into modules covering topics such as primitive data types, list operations, working with operators, loops, file handling, function definition, exception handling, and much more. The course makes it easy to learn Python, even if it’s your first programming language.

Where can I apply the skills I learn from this Python Programming Online Course?

Python is used widely across a range of fields. After completing this course, you’ll be equipped to use Python in web development (with frameworks like Django, Flask, Pylons), data science and visualization (using Numpy, Pandas and Matplotlib), and machine learning (with Tensorflow and Scikit-learn)​.

Who is the instructor for this Python Programming Online Course?

The course is taught by David Biggers, an IT instructor with over 18 years of IT experience and 17 professional IT certifications. He has been teaching a broad range of certification courses ranging from CompTIA, Microsoft to Cisco and EC-Council for the past four years for the US Army. Prior to this, he worked as a Jr. Network Admin and Web Services Manager with KCTCS in Kentucky​.

How do I get access to this Python Programming Online Course?

You can access this course through ITU’s All Access Monthly Subscription. This gives you access not just to this course, but over 2,500 hours of on-demand content from leading development and technology companies including CompTIA, Cybersecurity, Project Management, Cisco, Microsoft, Adobe, Microsoft SQL, Azure, Amazon Web Services, Cloud Services, and more. You can start with 7 free days and cancel anytime.

What are the learning options for this Online Course?

The course offers flexible learning options. You can learn anywhere, anytime on your desktop, tablet, or mobile, as long as you have an internet connection. This makes it easy to fit the course into your schedule, whether you’re studying full-time, working, or just learning in your free time​.

What makes ITU Online IT Training Courses stand out?

ITU Online IT Training Courses stand out due to their certified expert instructors, extensive content, and flexible learning options. Every instructor must have a minimum of 10 years of experience in their respective fields and are recognized as experts. ITU has invested over 10 years in developing an extensive library of IT-focused training, and with the All Access program, you receive free and updated courses at no additional cost​.

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Your Achievement

Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.
Example Certificate

Course Outline

Introduction to Python Course Content

Module 1: Getting Started with Python

  •    Module 1 File

  •    Intro to Course and Instructor

  •    Getting Started with Python

Module 2: Working with Primitive Data Types

  •    Module 2 File

  •    Working with Primitive Data Types

  •    Working with Primitive Data Types Part 2

  •    Working with Primitive Data Types Part 3

  •    Working with Primitive Data Types Part4

  •    Working with Primitive Data Types Part4 Answers

Module 3: Working with Multiple Assignments Statements

  •    Module 3 File

  •    Working with Multiple Assignments Statements

Module 4: Convert Types in Python

  •    Module 4 File

  •    Convert Types in Python

Module 5: Creating Lists

  •    Module 5 File

  •    Creating Lists

Module 6: Modifying Lists

  •    Module 6 Notes

  •    Modifying Lists

Module 7: Sorting and Reversing Lists

  •    Module 7 File

  •    Sorting and Reversing Lists

Module 8: Slicing Lists

  •    Module 8 File

  •    Slicing Lists

Module 9: Working With Operators

  •    Module 9 File

  •    Working With Operators

  •    Working With Operators Part2

  •    Working With Operators Part3

Module 10: Determining Operator Precedence

  •    Module 10 File

  •    Determining Operator Precedence

Module 11: Working with IF Statements

  •    Module 11 File

  •    Working with IF Statements

Module 12: Working With For Loops

  •    Module 12 File

  •    Working With For Loops

Module 13: Working With While Loops

  •    Module 13 File

  •    Working With While Loops

Module 14: Nesting for Loops

  •    Module 14 File

  •    Nesting for Loops

Module 15: Reading Files

  •    Module 15 File

  •    Reading Files Part1

  •    Reading Files Part2

Module 16: More on Files

  •    Module 16 File

  •    More on Files

Module 17: Merging Emails

  •    Module 17 File

  •    Merging Emails

Module 18: Reading Console Inputs and Formatting Outputs

  •    Module 18 File

  •    Reading Console Inputs and Formatting Outputs

Module 19: Reading Command Line Argument

  •    Module 19 File

  •    Reading Command Line Argument

Module 20: Defining Functions

  •    Module 20 File

  •    Defining Functions

Module 21: Using Default Argument

  •    Module 21 File

  •    Using Default Argument

Module 22: Using Keyword and Positional Arguments

  •    Module 22 File

  •    Using Keyword and Positional Arguments

Module 23: Handling Exceptions

  •    Module 23 File

  •    Handling Exceptions

Module 24: Using Math and Random Modules

  •    Module 24 File

  •    Using Math and Random Modules

Module 25: Displaying Daytime Working Directory and File Metadata

  •    Module 25 File

  •    Displaying Daytime Working Directory and File Metadata

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Your Training Instructor

David Biggers

David Biggers

IT Instructor

David has been a professional IT instructor for the past four years for the US Army. He teaches a broad range of certification courses ranging from CompTIA, Microsoft to Cisco and EC-Council. Prior to working with the US Army, David worked as a Jr. Network Admin and Web Services Manager with KCTCS in Kentucky. He performed multiple jobs being on the IT team. Additionally, David taught part-time during the evening at the college, where he instructed on Active Directory, Introduction to Computers, and Networking. David has 18 years of IT experience, 17 professional IT certifications, and 8 years of teaching experience.

Python Programming Course



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Python Programming Course

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Python Programming Course
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