Coursera - Databases for Data Scientists Specialization

Coursera - Databases for Data Scientists Specialization - Printable Version

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Coursera - Databases for Data Scientists Specialization - BaDshaH - 10-06-2023

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Last updated 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 65 Lessons ( 15h 8m ) | Size: 2.8 GB

All about Databases for Data Scientists. Learn to design and create efficient and effective relational databases, fill them with data, and work with them using SQL

[b]What you'll learn[/b]
Design effective, efficient databases through normalization and data modeling
Develop expertise in programming with the Structured Query Language ("SQL")
Knowledge about database operations, data warehouse, big data, and NoSQL

Skills you'll gain
Database (DB) Design
Data Warehousing
NoSQL
database administration
SQL
Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you!
We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development.
In this specialization you will learn about database design, database software fundamentals, and how to use the Structured Query Language (SQL) to work with databases. The specialization, will conclude with an overview of future trends in databases, including non-relational databases (NoSQL) and Big Data. Upon completion of this specialization you will be well prepared to design and create efficient and effective relational databases, fill them with data, and work with them using SQL.

Applied Learning Project
In Relational Database Design and The Structured Query Language (SQL), you will perform coding exercises, reflect on what you learned, and describe the challenges you experienced. Then, in Advanced Topics and Future Trends in Database Technologies, you will map out a plan for a big data project and investigate the benefits and drawbacks of non-relational databases.

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