- Relational Database (RDBMS)
- Business Intelligence (BI)
- Enterprise Data Warehouse (EDW)
- SQL
- Extract Transform Load (ETL)
- Data Science
- Database (DBMS)
- NoSQL
- Database (DB) Design
- Database Architecture
- Postgresql
- MySQL
Профессиональная сертификация 'Инженер по организации хранилищ данных IBM'
Kickstart your Career in BI Engineering. Develop job-ready skills for an entry level role in Data Warehousing.
от партнера

Чему вы научитесь
Compose and execute various types of SQL statements and queries to access and manipulate data in databases
Deploy, Manage, Secure, Operationalize, Monitor and Optimize relational database systems like MySQL, PostgreSQL, and DB2
Create Data Pipelines to extract, transform and load data repositories using shell scripts, and tools such as Apache Airflow & Kafka
Design and populate Data Warehouses and analyze their data with Business Intelligence (BI) tools like Cognos Analytics
Приобретаемые навыки
Профессиональная сертификация: общие сведения
Проект прикладного обучения
Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills.
You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2.
You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts.
You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards.
This program is suitable for those with or without college degrees. No prior programming or data engineering background required.
This program is suitable for those with or without college degrees. No prior programming or data engineering background required.
Что такое профессиональная сертификация?
Получайте нужные для работы навыки
Если вы ищите новую работу или хотите сменить род деятельности, освойте новую профессию и получите профессиональный сертификат Coursera. Учитесь в собственном темпе где и когда угодно. Зарегистрируйтесь сегодня и начните новый карьерный путь с 7-дневным бесплатным пробным периодом. Приостановить обучение или завершить подписку можно в любой момент.
Практические проекты
Примените свои навыки для выполнения практических проектов и создайте портфолио, которое продемонстрирует потенциальным работодателям вашу готовность к работе. Чтобы получить сертификат, вам нужно успешно завершить проекты.
Получите документ, который подтверждает вашу квалификацию
Завершив все курсы в программе, вы получите сертификат, которым можно делиться с коллегами по отрасли, а также доступ к профессиональным ресурсам, которые помогут начать новую карьеру. Многие профессиональные сертификации признаются работодателями-партнерами, а другие помогают подготовиться к сертификационному экзамену. Подробная информация доступна на страницах профессиональных сертификаций.

Профессиональная сертификация включает несколько курсов: 7
Introduction to Data Engineering
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem.
Introduction to Relational Databases (RDBMS)
Are you ready to dive into the world of data engineering? You’ll need a solid understanding of how data is stored, processed, and accessed. You’ll need to identify the different types of database that are appropriate for the kind of data you are working with and what processing the data requires.
Databases and SQL for Data Science with Python
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
Hands-on Introduction to Linux Commands and Shell Scripting
This course provides a practical introduction to Linux and commonly used Linux / UNIX shell commands. It teaches you the basics of Bash shell scripting to automate a variety of tasks. The course includes both video-based lectures as well as hands-on labs to practice and apply what you learn. You will have no-charge access to a virtual Linux server that you can access through your web browser, so you don't need to download and install anything to perform the labs.
от партнера

IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Часто задаваемые вопросы
Какие правила возврата средств?
Можно ли зарегистрироваться только на один курс?
Действительно ли это полностью дистанционный курс? Нужно ли мне посещать какие-либо занятия лично?
Сколько времени занимает получение специализации?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Получу ли я зачеты в университете за прохождение специализации?
What will I be able to do upon completing the Specialization?
Остались вопросы? Посетите Центр поддержки учащихся.