Data

Lynda – Github For Data Scientists

Lynda – Github For Data Scientists Bookware-KNiSO
English | Size: 697.37 MB
Category: Tutorial


Learn how to get the most out of GitHub, not just as a code repository, but also as a resource for finding software and connecting with an engaged community

Lynda – Data Analytics For Students

Lynda – Data Analytics For Students Bookware-KNiSO
English | Size: 107.64 MB
Category: Tutorial


Release Notes: Analytics is such a broad topic that it’s hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions

Linkedin Learning – SQL Analysis for Data Developers

Linkedin Learning – SQL Analysis for Data Developers-QUASAR
English | Size: 190.73 MB
Category: Tutorial


If you re looking to get Structured Query Language into your application development, but your story is more prequel than SQL, you need to build a solid foundational knowledge of SQL analysis. In this course, instructor Nikiya Simpson starts with a quick review of SQL basics, then focuses on fundamental SQL queries used in beginning data analysis. Nikiya explains the importance of asking the right questions of your data, as well as how those questions translate into SQL. She also shows how these concepts can be used to derive quick insights from your data to help drive effective decision-making. Nikiya finishes the course by demonstrating how to incorporate queries into tools like Microsoft Power BI to help bring your data to life

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]
English | Size: 842.73 MB
Category: Tutorial


A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases.