Python for Data Science
Python for Data Science
Embedded Files
Grade 11-12 | 05 Modules
Course Description
Course 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. If you want to learn Python from scratch, this free course is for you.
Course: 03 Hours
Learning Objectives
Learning Objectives
Module 1- Python Basics
Learning Objectives:
After completing this section you will:
Understand the available data types in Python
Be familiar with Python expressions and variables
Be able to perform basic operations on strings
Most importantly, you will write your first bits of Python code using Jupyter Notebook, the same rich environment used by thousands of data scientists, data analysts, and data engineers.
Module 2:Python Data Structure
In this lesson you will learn about:
Lists and Tuples
Sets
Dictionaries
Module 3:Python Programming Fundamentals
In this lesson you will learn about:
Conditions and Branching
Loops
Functions
Objects and Classes
Module 4: Working with Data in Python
In this lesson you will learn about:
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas
Module 5:Work with NumPy Arrays and Simple APIs
In this lesson you will learn about:
Explain the use of the HTTP protocol using the Requests Library method
Describe how the URL Request Response HTTP protocol works
Learn to apply simple, open-source APIs
Perform basic web scraping using Python
Work with different file formats using Python
Explain the difference between APIs and REST APIs
Summarize how APIs receive and send information
Skill Focus
Skill Focus
Enhance Technical Skills
Resource Links
Resource Links
Essential Course Link
Module 3:
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