This course is for you if you still think a python is just a reptile from the jungles. Expanding your programming skills to include the Python coding language will poise you to embrace that next excellent coding opportunity and advance your development career. Python is prized by coders for its simplicity in versatility, using plain text language syntax to help develop websites, apps, AI, business software, and more. This Python 3 course is designed to guide you through learning the language from start to finish with 12 different built-in projects to provide a diverse and rounded experience upon course completion.
Python is prized for its cross-platform versatility and the ability to create:
- Machine learning
- Data science analytics
- Data science visualizations
- Web apps
- Desktop apps
- Business apps
- Financial analysis
- Utility software
And unlike many other languages, this code can be transported between applications with little to no modification.
Learning Goals and Outcomes
Learning goals and outcomes for this Python 3 development course include actionable business knowledge and practice. Incorporate machine learning and object-oriented programming skills as you explore the science behind data visualization and analysis. Using Python, participants will process images including CSVs, PDFs, and other file types. Send Python-based emails and SMS for business communication. Practice Selenium and Python 3.10 in automation and learn how to test, debug, and correct any errors.
Practical applications of this Python course include learning the development language of version 3.10 — the latest version of this popular coding language. Set up a professional workspace with Jupyter Notebooks, PyCharm, VS Code + as you learn function coding.
The goal is to create clean, performant, and bug-free code that can be applied to practical applications. Build a Twitter-bot or combine Python and BeautifulSoup to create a web scraper to curate and cultivate important links and data.
Course details include the following:
- 30.5 hours of on-demand video instructions
- 56 educational resources and reference articles
- 20 downloadable offline resources
- 1 coding exercise
- Mobile and television access in addition to web service
- Official certificate of completion
No prior knowledge of programming or Python is needed — just a computer that features Windows, Mac, or Linux operating systems and a willingness to learn.
Course Syllabus and Featured Topics
This Python learning course features 25 individual self-paced learning sections combining written and video resources. Begin with an introduction to the who, what, when, where, and why of Python 3.10 coding. Explore the developer environment and move on to advanced coding skills. Participants will learn about object-oriented programming, functional programming, decorators, error handling, and generators. Move on from code creation to quality assurance. Explore different modules teaching you how to test and debug your own code before beginning project-based work. Direct instruction includes guidance on machine learning, automation and testing, data science, scripting, and scraping. Extra learning and bonus sections allow participants to explore areas like Github, Open Source, JTS, and Terminal setup.
End the course by joining and contributing to the Python alumni community and cheatsheet support. After mastery of these core concepts, participants will be able to download and display an official certificate of completion.
As reviewer Maximillian shares, “From my experience, Andrei is a great teacher. Clear in language, going step by step, explaining why/what things do what they in a proper and pedagogic way.”
Created by Andrei Neagoie as a Zero to Mastery Course with a proven record of successful students and learning. Learn more about Andrei and related courses today.