In this course, you'll discover the main features and benefits of the Python programming language, and how Python can help power your data analysis. Python is an object-oriented programming language based on objects that contain data and useful code. You’ll become familiar with the core concepts of object-oriented programming: object, class, method, and attribute. You’ll learn about Jupyter Notebooks, an interactive environment for coding and data work. You’ll investigate how to use variables and data types to store and organize your data; and, you'll begin practicing important coding skills.
By the end of this course, you will be able to:
- Explain Python fundamentals, including core Python syntax, data types (integer, float, string), and variable assignment
- Define fundamental concepts like object, class, method, and attribute in object-oriented programming
- Recognize the uses and benefits of Jupyter Notebook for data work and as a Python environment
- Identify Python's relevance to data science and why it is an essential tool for data analysis
- Perform basic mathematical calculations in Python
- Use Python's inherent capabilities to explore data effectively with built-in functions and keywords
- Gain knowledge of how to manage and utilize Python packages and interpreter options
Discover the main features and benefits of the Python programming language, and how Python can help power your data analysis. Python is an object-oriented programming language based on objects that contain data and useful code.
Become familiar with the core concepts of object-oriented programming: object, class, method, and attribute. Learn about Jupyter Notebooks, an interactive environment for coding and data work.
Investigate how to use variables and data types to store and organize your data; and begin practicing important coding skills.
Review everything you’ve learned and take the final assessment.
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Google is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (88/100). They build what they teach.
This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…
This is CS50W, CS50's Web Programming with Python and JavaScript. Register for free at https://cs50.edx.org/web. Slides and source code at https://cs50.harvard.edu/web. This course picks up where Harvard University’s CS50 leaves off, diving more deeply into the design and implementation of web apps…
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory beh…
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory beh…
Learning objectives This course picks up where Harvard University's CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Flask, Django, and Bootstrap. Topics include database design, scalability, security, and user…
