Специализация Data Warehousing for Business Intelligence

Начинается Oct 16

Специализация Data Warehousing for Business Intelligence

Harness Business Data. Build a fully-optimized business data warehouse in five courses.

Об этой специализации

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.

Автор:

Партнеры курса:

courses
5 courses

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projects
Проекты

Поможет на практике применить полученные навыки.

certificates
Сертификаты

Отметьте новые навыки в резюме и на LinkedIn.

Курсы
Advanced Specialization.
Designed for those already in the industry.
  1. 1-Й КУРС

    Database Management Essentials

    Выполнение
    7 weeks of study, 4-6 hours/week
    Субтитры
    English, Korean, Chinese (Simplified)

    О курсе

    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
  2. 2-Й КУРС

    Data Warehouse Concepts, Design, and Data Integration

    Субтитры
    English

    О курсе

    This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creatin
  3. 3-Й КУРС

    Relational Database Support for Data Warehouses

    Субтитры
    English

    О курсе

    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
  4. 4-Й КУРС

    Business Intelligence Concepts, Tools, and Applications

    Выполнение
    5 weeks of study, 3-5 hours/week
    Субтитры
    English, Chinese (Simplified)

    О курсе

    This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intell
  5. 5-Й КУРС

    Design and Build a Data Warehouse for Business Intelligence Implementation

    Предстоящая сессия: Oct 29
    Выполнение
    6 weeks of study, 3-5 hours/week
    Субтитры
    English

    О дипломном проекте

    The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presente

Авторы

  • University of Colorado System

    The University of Colorado promotes innovation, encourages discovery, and supports the extension of knowledge in ways unique to the state of Colorado and worldwide.

    The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.

  • Jahangir Karimi

    Jahangir Karimi

    Professor
  • Michael Mannino

    Michael Mannino

    Associate Professor

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