Bootcamps     Information Technology     Data     Python

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Python programming is among the most powerful and widely used tools by data scientists today. This Bootcamp 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.

Prerequisites

Students looking to attend this course should meet the following prerequisites:

Anaconda and Jupyter Notebook

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 statements

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Objectives
Functions in Python Data science use cases for Python Programming across industries and core functions of data scientists Loading data into Python using Pandas Dataframes and basic operations Basic operations on series Reshaping data using Pandas Working with Pandas Summarizing data using Pandas Arrays: filtering and reshaping Introduction to NumPy