This course is part of the Databases for Data Scientists Specialization

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Di Wu +1 more instructor

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Part of the Master of Science in Data Science degree
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Databases for Data Scientists SpecializationUniversity of Colorado Boulder

About this Course

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This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Course 3 of 3 in the

Databases for Data Scientists Specialization

Beginner Level

This course is for beginners, but you should have taken Course 1: Relational database design, and Course 2, the Structured Query Language.

Approx. 16 hours to complete

English

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What you will learn

In-depth and advanced areas of database technologies
The future of database software and where the industry is heading

Skills you will gain

Database (DBMS)
Data Warehousing
NoSQL
Big Data
database administration

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 3 in the

Databases for Data Scientists Specialization

Beginner Level

This course is for beginners, but you should have taken Course 1: Relational database design, and Course 2, the Structured Query Language.

Approx. 16 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Di Wu

Alan Paradise

Offered by

University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Week1

Week 1

5 hours to complete

DBMS Administration Essentials

5 hours to complete

6 videos (Total 95 min), 1 reading, 4 quizzes

Week2

Week 2

3 hours to complete

Data Warehousing, Data Cube

We have learned to design a Relational Database around the typical transactions or activities a business might have. However, in case we need to analyze data, rather than collect data, we need to create a database for the subject of interest to support decision making. In this module, we are going to learn a different perspective of organizing the data, Data Warehouse, or Online Analytical Processing.

3 hours to complete

5 videos (Total 71 min)

Week3

Week 3

3 hours to complete

Big Data and the Data Explosion

3 hours to complete

4 videos (Total 77 min)

Week4

Week 4

5 hours to complete

The Relational Problem and NoSQL Systems

Although relational database software has been in use for decades, relational database systems still command a huge share of the database software marketplace. However, with the more recent explosion of Big Data, relational systems are struggling to keep up. Big Data has opened the door for non-relational database solutions ("NoSQL") to capture marketshare from relational systems. In this module we will take a deeper look into the most popular NoSQL database technologies.

5 hours to complete

6 videos (Total 106 min)

Reviews

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About the Databases for Data Scientists Specialization

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Advanced Topics and Future Trends in Database Technologies

About this Course

What you will learn

Skills you will gain