Python for Data Science
Description
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 and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.
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
FAQs?
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