Data Wrangling in Python Bootcamp
- Includes Lab
Welcome to the Data Wrangling in Python Bootcamp channel! Python programming is among the most powerful and widely used tools by data scientists today. This course will cover how to leverage Python's capabilities to manipulate and explore data. By the end of this program, attendees will be able to outline use cases for Python and automate tedious data processes and clean data for analysis. Attendees should be familiar with Python programming and be able to execute basic functions and import multiple data types. Objectives: 1. Identify what data science is and why it's important 2. Program proficiently in Python 3. Automate data cleaning and processing Software Requirements: Python & Anaconda - Anaconda and Jupyter Notebook Students must have learned the basic features of Python and have an understanding of these areas before attending class:- Variables: defining, swapping, printing and deleting variables- Main data types: numbers, logicals, strings- Basic data structures: lists, sets, dictionaries, tuples.- Control flow structures and modular code- Conditional statements- "For" loops and list comprehensions- "While" loops and break/continue statement"
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