Harness Business Data [12069]


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

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.

Created by:

Industry Partners:


courses
5 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Courses
Advanced Specialization.
Designed for those already in the industry.
  1. COURSE 1

    Database Management Essentials

    Current session: Mar 6 — May 1.
    Commitment
    7 weeks of study, 4-6 hours/week
    Subtitles
    English, Chinese (Simplified)

    About the Course

    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.
    Show or hide details about course Database Management Essentials
  2. COURSE 2

    Data Warehouse Concepts, Design, and Data Integration

    Upcoming session: Mar 13 — Apr 24.
    Subtitles
    English

    About the Course

    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 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.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. 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
    Show or hide details about course Data Warehouse Concepts, Design, and Data Integration
  3. COURSE 3

    Relational Database Support for Data Warehouses

    Upcoming session: Mar 13 — Apr 24.
    Subtitles
    English

    About the Course

    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. Because of the importance and difficulty of managing implementations of data warehouses, we’ll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.
    Show or hide details about course Relational Database Support for Data Warehouses
  4. COURSE 4

    Business Intelligence Concepts, Tools, and Applications

    Upcoming session: Mar 13 — Apr 24.
    Commitment
    5 weeks of study, 3-5 hours/week
    Subtitles
    English, Chinese (Simplified)

    About the Course

    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 intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy’s Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards. The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.
    Show or hide details about course Business Intelligence Concepts, Tools, and Applications
  5. COURSE 5

    Design and Build a Data Warehouse for Business Intelligence Implementation

    Upcoming session: Mar 20 — May 8.
    Commitment
    6 weeks of study, 3-5 hours/week
    Subtitles
    English

    About the Capstone Project

    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 presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations. In the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.
    Show or hide details about course Design and Build a Data Warehouse for Business Intelligence Implementation

Creators

  • 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

 

Data Warehousing for Business Intelligence Specialization


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Все статьи раздела Образование

Новини

19:06 - Недельная аналитика- Определение потенциала тренда - Недельный обзор. DJI30, золото, натуральный газ.
13:42 - Кабмин повысит прожиточный минимум и отвяжет от него штрафы и зарплаты
12:48 - Игорь Коломойский утверждает, что не имеет отношения к скандальным аудиозаписям Гончарука
12:48 - У Виталия Кличко призвали киевлян не пользоваться личными авто, чтобы не загрязнять воздух
11:54 - Петр Порошенко отрицает соглашение по “1+1” с Суркисами
11:54 - Приглашение от Меркель, повышение от поляков и квоты от Трюдо
11:54 - Суд арестовал счета “Киевметростроя”
11:00 - Виталий Кличко разрешил строить девятиэтажку напротив ЦУМа Рината Ахметова
10:06 - Глава МВФ ожидает от Украины выполнения ранее поставленных условий для новой программы финансирования
10:06 - Кабмин обнародовал зарплаты топ-чиновников: самая высокая — у Арсена Авакова
10:06 - Связи с Павлюком, работа на Ахметова и “элита Януковича”
09:12 - Рост мировой экономики в 2019 году стал самым низким за последнее десятилетие
09:12 - СБУ раскрыла схему финансирования “ЛНР” через Южную Осетию
08:18 - От позора не отказались: зачем Зеленский призывает в армию школьников
08:18 - “Вскоре могут появиться записи и с Зеленским”. Кого на Банковой подозревают в прослушке Гончарука
08:18 - Рада отменила “соевые правки Хомутынника”
15:42 - Ситуація в контрольних пунктах в’їзду-виїзду в районі проведення операції Об’єднаних сил
13:36 - Інформація про доходи урядовців
13:24 - Нацкомиссия по ценным бумагам изучит покупку китайцами биржи ПТФС
13:24 - Владимир Зеленский считает необходимым разделить некоторые министерства
12:30 - Владимир Зеленский пригрозил “перезагрузкой” руководству “Нафтогаза” из-за премий
11:36 - Минэнерго создало совет по развитию водородной энергетики
11:36 - Государственная продовольственно-зерновая корпорация выплатила 116 млн долларов “Эксимбанку” Китая
10:42 - Минэнерго предлагает НКРЭКУ временно ограничить импорт электроэнергии из России и Беларуси
10:42 - “Укрэнерго” настаивает на законности счетов за экспорт электроэнергии холдингом Ахметова
09:48 - Владимир Зеленский отказался отправить Алексея Гончарука в отставку
09:48 - В партии Владимира Зеленского усомнились в эффективности объединения Минэнерго и Минэкологии
09:48 - Ротшильди, макарони, олів'є. Де міфи, а де правда в “плівках Гончарука”
08:54 - Минцифры создало совет по вопросам искусственного интеллекта
08:54 - Гривня упала после новостей об отставке Гончарука. Что будет с курсом на следующей неделе


Більше новин

ВалютаКурс
Австралійський долар16.7077
Канадський долар18.5759
Юань Женьмiньбi3.5361
Куна3.6213
Чеська крона1.0711
Данська крона3.6044
Гонконгівський долар3.122
Форинт0.080243
Індійська рупія0.34114
Рупія0.0017756
Новий ізраїльський шекель7.0206
Єна0.22019
Теньге0.064411
Вона0.02092
Мексиканське песо1.2934
Молдовський лей1.3895
Новозеландський долар16.0565
Норвезька крона2.7237
Російський рубль0.3948
Саудівський рiял6.4638
Сінгапурський долар18.0063
Ренд1.6789
Шведська крона2.5539
Швейцарський франк25.0907
Єгипетський фунт1.5323
Фунт стерлінгів31.6595
Долар США24.2527
Бiлоруський рубль11.4367
Азербайджанський манат14.2831
Румунський лей5.6352
Турецька ліра4.1187
СПЗ (спеціальні права запозичення)33.4831
Болгарський лев13.7721
Євро26.9363
Злотий6.36
Алжирський динар0.19841
Така0.27899
Вірменський драм0.049398
Іранський ріал0.00056396
Іракський динар0.019904
Сом0.33985
Ліванський фунт0.015712
Лівійський динар16.8777
Малайзійський ринггіт5.7368
Марокканський дирхам2.4677
Філіппінське песо0.46721
Донг0.0010221
Бат0.78556
Дирхам ОАЕ6.4489
Туніський динар8.3827
Узбецький сум0.002489
Новий тайванський долар0.78645
Туркменський новий манат6.7675
Ганське седі4.1193
Сербський динар0.22477
Сомоні2.443
Ларі8.2747
Бразильський реал5.8477
Золото37807.05
Срiбло439.39
Платина24825.31
Паладiй57762.17

Курси валют, встановлені НБУ на: 20.01.2020

ТікерOpenMaxMinCloseVolume
BAVL0.3450.3450.3450.34565550.00
MHPC23523523523514100.00

Дані за 17.01.2020