Python for Data Science
IBMThis introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this free course is for you.
COURSE SYLLABUS
Module 1 - Python Basics
- Your first program
- Types
- Expressions and Variables
- String Operations
Module 2 - Python Data Structures
- Lists and Tuples
- Sets
- Dictionaries
Module 3 - Python Programming Fundamentals
- Conditions and Branching
- Loops
- Functions
- Objects and Classes
Module 4 - Working with Data in Python
- Reading files with open
- Writing files with open
- Loading data with Pandas
- Working with and Saving data with Pandas
Module 5 - Working with Numpy Arrays and Simple APIs
- Numpy 1D Arrays
- Numpy 2D Arrays
- Simple APIs
- API Setup
GENERAL INFORMATION
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- There is only ONE chance to pass the course, but multiple attempts per question
RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE
- Basic Math