Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.
By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs:
Applied AI Professional Certificate
Python Data Science Professional Certificate
Data Science Professional Certificate
Data Analyst Professional Certificate
Full Stack Cloud Developer Professional Certificate
Data Engineering Fundamentals Professional Certificate
Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
- What Python is and why is it useful
- The application of Python
- How to define variables
- Sets and conditional statements in Python
- The purpose of having functions in Python
- How to operate on files to read and write data in Python
- How to use pandas, a must have package for anyone attempting data analysis in Python
You can also find my notebooks on Github Gist