30-day money-back guarantee
This course includes
What you'll learn
Course content
Description
Become a Python Programmer and learn one of employer's most requested skills of 2019!
This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. (Note, we also provide older Python 2 notes in case you need them)
With over 100 lectures and more than 20 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, and homework assignments as well as 3 major projects to create a Python project portfolio!
This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!
We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered!
We cover a wide variety of topics, including:
- Command Line Basics
- Installing Python
- Running Python Code
- Strings
- Lists
- Dictionaries
- Tuples
- Sets
- Number Data Types
- Print Formatting
- Functions
- Scope
- args/kwargs
- Built-in Functions
- Debugging and Error Handling
- Modules
- External Modules
- Object Oriented Programming
- Inheritance
- Polymorphism
- File I/O
- Advanced Methods
- Unit Tests
- and much more!
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!
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About the instructor
Nataly Gaga
Head of Data Science, Pierian Data Inc.Nataly Gaga has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. She has publications and patents in various fields such as microfluidics, materials science, and data science technologies.
Reviews
Maria Kunis
This course helped me in learning python in a very simple and effective way & boosts up my confidence. Concepts have been explained in a crystal clear way.
Lui Marcu
HUUUUUUUUUUUGE fan of Emily Milda
Master of Python, I took other classes also. I was very impressed, a very good teacher, in detail explanations, easy to understand. I owe him many thanks and hopefully. THAAAANK YOUU!
Brandon Rogers
Section 19 needs to be addressed. the 1st topic in the section tells us it is optional and can be skipped. this is not true and your instructions tell us to contact udemy support if there is an issue. we did and they told us to contact you.