Lesson 1
Why Python Programming
Welcome to Introduction to Python! Here's an overview of the course.
Course
Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
Beginner
4 weeks
Real-world Projects
Completion Certificate
Last Updated October 26, 2024
Skills you'll learn:
Prerequisites:
No experience required
Lesson 1
Welcome to Introduction to Python! Here's an overview of the course.
Lesson 2
Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
Lesson 3
Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.
Lesson 4
Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.
Lesson 5
Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
Lesson 6
Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
Lesson 7
Learn the basics of NumPy and how to use it to create and manipulate arrays.
Lesson 8
Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.
Lesson 9
In this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.
Lesson 10 • Project
Use Python to understand U.S. bikeshare data. Calculate statistics and build an interactive environment where a user chooses the data and filter for a dataset to analyze.
Staff Data Scientist
Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.
Command Line Instructor
Before joining Udacity, Karl was a Site Reliability Engineer (SRE) at Google for eight years, building automation and monitoring to keep the world's busiest web services online.
CEO at Mode
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Instructor
Richard is a Course Developer with a passion for teaching. He has a degree in computer science, and first worked for a nonprofit doing everything from front end web development, to backend programming, to database and server management.
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.
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