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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