courseraАнализ данных

Python Data Science: Environment Setup

Курс от Logical Operations

Уровень не указан≈ 2.4 чАнглийский

О курсе

This course will be useful to any programmer or data analyst who wants to expand their ability to extract knowledge from business data. You will learn how to set up a Python data science environment, particularly using Anaconda and Jupyter. This is the first course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python and data science libraries. The course setup instructions provided in the first module of this course go into more detail about the hardware and software requirements.

Навыки, которые вы освоите

Package and Software Management Jupyter Software Installation Seaborn System Configuration Virtual Machines Pandas (Python Package)Matplotlib Computer Programming Tools Python Programming Data Science Software Development Computer Programming Virtualization and Virtual Machines Data Analysis Data Processing NumPy

Программа курса

2 модулей · 9 учебных материалов

01Setting Up a Python Data Science Environment7 материалов

Course IntroductionЧтение Getting Started with This CoursePLUGIN Lesson IntroductionPLUGIN Select Python Data Science ToolsPLUGIN

Учитесь у экспертов

Bill Rosenthal

Преподаватель курса