[TeamTreeHouse] Track Beginning Data Science
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Treehouse Tracks are guided curriculums that cover all relevant Courses and Workshops necessary to master a subject. Treehouse’s learning library includes dozens of Tracks on a variety of topics including web design, programming, and more. With Compass, you’ll also be able to test out of subjects you already know, and create a custom curriculum for your learning goals.
Beginning Data Science
Data science unifies statistics, data analysis, machine learning and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.
In this track, we’ll be exploring the tools and techniques to get you started on your journey.
You’ll pick up the basic building blocks of how to analyze and communicate data findings.
The first course you’ll take is Data Analysis Basics, where you’ll establish some language and definitions as well as how to think about data. Next, we’ll cover some Python topics, as it’s the language data scientists use the most. You’ll establish a firm foundation in Python lists, dictionaries, sequences, tuples, and more.
Next we’ll cover how to install and use Anaconda, as well as Jupyter Notebooks, two useful tools for your Python work. Additionally, you’ll start creating charts with the Python library matplotlib, an industry standard data visualization library. Matplotlib provides a way to easily generate a wide variety of plots and charts in a few lines of Python code.
You’ll get a basic introduction to NumPy, the fundamental package for scientific computing, and then pandas, which provides fast, flexible, and expressive data structures for your Python data work.
We’ll then cover some best practices for cleaning and preparing data, data visualization, and an introduction to scraping data from the Web. To wrap up this Track, you’ll take our Introduction to Big Data course and then our Machine Learning Basics course.
Size: 3.50 GB