Time Series Analysis in PostgreSQL

Starting at USD 39.00
4 hours duration

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

This course provides comprehensive instruction on leveraging PostgreSQL for effective management of date and time data. Participants will gain proficiency in utilizing functions and calls to efficiently parse, manipulate, and calculate with this data, as well as employ window functions for enhanced analysis. The curriculum also covers working with time series data, encompassing a range of date and time data types and techniques for seamless conversion between them. Participants will learn to manipulate granularity, perform calculations, including aggregations, partitioning, and running averages. These skills will enable them to derive valuable insights from existing time series data. Furthermore, the course delves into the practical application of time series analysis to real-world datasets. Participants will have the opportunity to analyze temperature data, examine train schedules, and explore the temporal dynamics of news article popularity. By engaging with these real-world examples, participants will develop a deeper understanding of how to effectively apply time series analysis techniques in various contexts.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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