This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files.
Course Details
Length: 12 weeks starting from 05/20/2024
2 classes per week
2 hours duration per class
Cost: $4,800 (50% off for any additional registration more than 5 people)
Course Breakout
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This first module covers an intro to programming and the Python language. We’ll start by downloading and installing the necessary tools to begin programming and writing code in Python. After learning how to print to the console, we’ll get an understanding of Python’s basic data types, and how to do simple math. We’ll follow up by creating our first Python script, and learn how to define and assign variables, while controlling the flow of our program using conditionals.
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We’ll start this module with a brief intro to lists, one of Python’s most commonly used data structures. We’ll learn just enough to get us started with loops, which are used to repeat a process or run a block of code multiple times. We’ll get into functions, which are blocks of organized code used to perform a single, related action. We’ll review some of Python’s built-in functions and learn how to design our own user-defined functions to use as building blocks in our own programs.
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In this module, we will take a deep dive into two very important data structures : sets and tuples. We’ll learn how they can be leveraged to both store and manipulate information.
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There are multiple ways of loading and storing data in Python. Information can be saved in dictionaries, a data structure that is extremely useful for storing multiple attributes (or data points) about a single thing. Data can also be stored in external files and then loaded into Python. This module will allow us to work with dictionaries in a variety of ways and to interact with the local file system by opening, reading from, and writing to, external files.
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NumPy is a fundamental Python package to efficiently manipulate data. In this session, we will learn to work with powerful tools in the NumPy array, and get started with data exploration.
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Pandas is a Python library for dealing with tabular data. The main thing you'll hear people talk about is the DataFrame object (inspired by R), which is designed to hold tabular data. In this section, we will learn how to use Pandas to clean and reshape messy data. We will also cover table operations such as merging, joining, grouping sets of data.