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Python for Data Science
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Python for Data Science

Learn the fundamentals of Python programming essential for data science

This is an essential course in Python programming. It provides an introduction to the python programming language for data science and discusses the core programming principles of Python. In this course, we will help you set up python on your system and introduce the most important programming concepts in Python.

You will learn about the fundamentals of Python programming including how to set it up, primary data types and their properties, functions, and methods in Python, and how to use packages and modules available from the Python community.

You will then learn the key programming concepts such as boolean logic, control structures, and loops. We will also introduce an important library called NumPy and a data structure called dictionaries. These are crucial for your data science skills and will make the foundation for any Python data science project you work on.

What's Included

  • Detailed concepts and explanations about each topic
  • Step-by-step instructions for all examples created in Python
  • Python code for all examples used in the course

Lessons

01

Python Dictionaries

Start
02

Comparison Operators in Python

Start
03

Logical Operators in Python

Start
04

Conditional Statements in Python

Start
05

For Loop in Python

Start
06

While Loop in Python

Start
07

How to loop over python dictionaries and Numpy arrays

Start
08

What is NumPy in Python

Start
09

ndarray - Methods and Data Type

Start
10

NumPy - Methods to Create Arrays

Start
11

Python NumPy - Numerical Operations on Arrays

Start
12

Python NumPy - Indexing and Slicing Arrays

Start

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Quizzes

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