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E.g., 2016-12-07
E.g., 2016-12-07
E.g., 2016-12-07
Dec 12th 2016

Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.

Average: 5.2 (12 votes)
Dec 5th 2016

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting.

Average: 4 (1 vote)
Dec 5th 2016

You already know how to build a basic web application with the Ruby on Rails framework. Perhaps, you have even taken Course 1, "Ruby on Rails: An Introduction" (we highly recommend it) where you relied on external web services to be your “data layer”. But in the back of your mind, you always knew that there would come a time when you would need to roll up your sleeves and learn SQL to be able to interact with your own relational database (RDBMS). But there is an easier way to get started with SQL using the Active Record Object/Relational (ORM) framework. In this course, we will be able to use the Ruby language and the Active Record ORM framework to automate interactions with the database to quickly build the application we want.

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Dec 5th 2016

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Average: 6.5 (6 votes)
Nov 28th 2016

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization.

Average: 5.4 (25 votes)
Self Paced

This is CS50 AP, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board's new AP CS Principles curriculum framework.

Average: 4.2 (6 votes)
Aug 29th 2016

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need. Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Average: 8.5 (2 votes)

Learn how to use SSIS to build high performance integration solutions and ETL packages for data warehousing.

Average: 5.3 (4 votes)
Dec 1st 2015

Prepare for the CLEP Information Systems and Computer Applications exam. Part 4 will cover the programming elements of the exam.

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Jul 7th 2015

An introduction to sabermetrics, baseball analytics, data science, the R Language, and SQL.

Average: 10 (1 vote)
Self Paced

An introduction to the intellectual enterprises of computer science and the art of programming.

Average: 7.3 (16 votes)
Self Paced Course - Start anytime

Basic aspects of database design and management. Relational model for logic database design. Entity-relationship model for conceptual design.

Average: 4.3 (3 votes)
Jan 7th 2014

This course covers database design and the use of database management systems for applications. It includes extensive coverage of the relational model, relational algebra, and SQL. It also covers XML data including DTDs and XML Schema for validation, and the query and transformation languages XPath, XQuery, and XSLT. The course includes database design in UML, and relational design principles based on dependencies and normal forms.

Average: 8.3 (7 votes)
Self Paced Course - Start anytime

Datenbanken bilden die Basis fast aller großen Software-Anwendungen. In Unternehmen, in der Forschung, im Web – überall entstehen riesige Datenmengen, die es gilt sicher zu speichern und die effizient abfragbar sein müssen.

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Mar 25th 2013

This course is about building `web-intelligence' applications exploiting big data sources arising social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm.

Average: 4 (1 vote)