courseraАнализ данных

Data Science Fundamentals, Part 1: Data Collection & Modeling

Курс от Pearson

Начальный≈ 9.1 чАнглийский

О курсе

This course dives into real-world data sourcing, including making web requests, web scraping, and integrating diverse data types from APIs, files, and databases. You'll learn to parse and structure data in formats like XML and JSON, and leverage object-oriented programming to create robust data models. By the end of the course, you’ll be equipped to efficiently acquire, transform, and prepare data for advanced analysis.

Навыки, которые вы освоите

Data Transformation JSON Relational Databases Extract, Transform, Load Extensible Markup Language (XML)Data Access Data Pipelines Data Collection Data Import/Export Data Modeling Web Scraping Object Oriented Programming (OOP)Extensible Languages and XML Systems Integration Application Programming Interface (API)Data Integration

Программа курса

1 модулей · 29 учебных материалов

01Data Science Fundamentals Part 1: Unit 229 материалов

Acquiring Data--Sources and Methods

TopicsВидео The Data Science MindsetВидео The Data Science Technology StackВидео Where to Get Data: Sources and ServicesВидео How the Web WorksВидео

Учитесь у экспертов

Pearson

Преподаватель курса

Jonathan Dinu

Freelance ML Engineer