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Курс от Pearson
courseraАнализ данных
Data Science Fundamentals, Part 1: Managing Data with Python
Курс от PearsonО курсе
This course explores the fundamentals of relational databases and how to seamlessly map Python data structures to robust database tables using object-relational mappers (ORMs). You'll gain practical experience in building efficient ETL (Extract, Transform, Load) pipelines, ensuring your data is not only accessible but also reliable and persistent. You'll learn about data validation and quality control, leveraging powerful tools like Pandas to explore, clean, and analyze your datasets. By the end of the course, you’ll be equipped to uncover insights, identify biases, and apply best practices in data management.
Навыки, которые вы освоите
Extract, Transform, LoadData TransformationData ValidationData PersistenceRelational DatabasesPandas (Python Package)Descriptive StatisticsObject-Relational MappingExploratory Data AnalysisDatabase ManagementData AnalysisData IntegrityGraphical ToolsData QualityData ManipulationData CleansingData StoreDescriptive AnalyticsDatabasesData Pipelines
Программа курса
1 модулей · 31 учебных материалов
01Data Science Fundamentals Part 1: Unit 331 материалов
Storing Data: Persistence with Relational Databases
TopicsВидеоIntroduction to Databases with SQLiteВидеоInspecting Databases with the SQLite shellВидеоThe Database LandscapeВидеоWhat's in a Schema? Mapping Data Models to Data TablesУчитесь у экспертов
Pearson
Преподаватель курса
Jonathan Dinu
Freelance ML Engineer