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Overview
In this Data Warehouse Concepts, Design, and Data Integration course offered by Coursera in partnership with University of Colorado System, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows.
These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows. In the data integration assignment, you can use either Oracle, MySQL, or PostgreSQL databases.
You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development.
Key facts
- If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that.
- By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.
- In this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations.
When you’re done with this course, you’ll be able to:
- Evaluate an organization for data warehouse maturity and business architecture alignment;
- Create a data warehouse design and reflect on alternative design methodologies and design goals;
- Create data integration workflows using prominent open source software;
- Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and
- Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software
Skills you'll gain
- Data Management
- Data Analysis
- Databases
- Leadership and Management
Programme Structure
Courses included:
- Data Warehouse Concepts and Architectures
- Multidimensional Data Representation and Manipulation
- Multidimensional Data Representation and Manipulation: Lesson Choices
- Data Warehouse Design Practices and Methodologies
- Data Integration Concepts, Processes, and Techniques
- Architectures, Features, and Details of Data Integration Tools
Key information
Duration
- Part-time
- 1 months
- 20 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Design Data Science & Big Data View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- To obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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