Python for Data Science
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Dive into Python for Data Science. Learn how to analyze and manipulate data, visualize insights, and build models using Python libraries like pandas, numpy, and matplotlib, providing you with the tools to solve real-world data problems in various domains.
At a Glance
This 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. If you want to learn Python from scratch, this course is for you.
COURSE SYLLABUS
- Your first program
- Types
- Expressions and Variables
- String Operations
- Lists and Tuples
- Sets
- Dictionaries
- Conditions and Branching
- Loops
- Functions
- Objects and Classes
- Reading files with open
- Writing files with open
- Loading data with Pandas
- Working with and Saving data with Pandas
- 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
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