Data Architect Online Nanodegree Course
This online Nanodegree program provides students with the skills to design and build data infrastructure for an organization, including data management, systems, models, implementation and requirements. With the Data Architect Nanodegree, students can become experts in data engineering. ▼
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Course Feature
Cost:
Paid
Provider:
Udacity
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Udacity platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
The Data Architect Online Nanodegree Course provides students with an understanding of data architecture characteristics, data governance and its role, and scalability and flexibility in database design. Students will learn how to define data architecture characteristics, define data governance and its role, and define scalability and flexibility in database design. Through this course, students will gain the knowledge and skills necessary to become a successful data architect.
[Applications]
The Data Architect Online Nanodegree Course provides students with the knowledge and skills to define data architecture characteristics, data governance and its role, and scalability and flexibility in database design. After completing this course, students can apply their knowledge to design and develop data architectures for organizations, create data governance plans, and develop databases that are scalable and flexible. Additionally, students can use their knowledge to develop data models, create data warehouses, and develop data marts.
[Career Paths]
1. Data Scientist: Data Scientists are responsible for analyzing large amounts of data to identify patterns and trends. They use their findings to develop strategies and solutions to improve business operations. Data Scientists are in high demand due to the increasing need for data-driven decision making. As the amount of data available continues to grow, the need for Data Scientists will continue to increase.
2. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data systems. They are responsible for ensuring that data is stored securely and efficiently, and that it is accessible to the right people. Data Engineers are in high demand due to the increasing need for data-driven decision making. As the amount of data available continues to grow, the need for Data Engineers will continue to increase.
3. Business Intelligence Analyst: Business Intelligence Analysts are responsible for analyzing data to identify patterns and trends. They use their findings to develop strategies and solutions to improve business operations. Business Intelligence Analysts are in high demand due to the increasing need for data-driven decision making. As the amount of data available continues to grow, the need for Business Intelligence Analysts will continue to increase.
4. Database Administrator: Database Administrators are responsible for managing and maintaining databases. They are responsible for ensuring that data is stored securely and efficiently, and that it is accessible to the right people. Database Administrators are in high demand due to the increasing need for data-driven decision making. As the amount of data available continues to grow, the need for Database Administrators will continue to increase.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and data mining. With the increasing demand for data-driven solutions, this degree path is becoming increasingly popular and is a great way to gain the skills needed to become a data architect.
2. Master of Science in Data Science: This degree path focuses on the application of data science principles to solve real-world problems. It covers topics such as data mining, machine learning, and artificial intelligence. It also provides students with the skills needed to develop and implement data-driven solutions. This degree path is becoming increasingly popular as businesses are looking for ways to leverage data to gain insights and make better decisions.
3. Master of Science in Business Analytics: This degree path focuses on the application of analytics to business problems. It covers topics such as data mining, predictive analytics, and data visualization. It also provides students with the skills needed to develop and implement data-driven solutions. This degree path is becoming increasingly popular as businesses are looking for ways to leverage data to gain insights and make better decisions.
4. Master of Science in Information Systems: This degree path focuses on the application of information systems to business problems. It covers topics such as database design, data warehousing, and data security. It also provides students with the skills needed to develop and implement data-driven solutions. This degree path is becoming increasingly popular as businesses are looking for ways to leverage data to gain insights and make better decisions.
Course Syllabus
Introduction to ERDs
Develop a database schema
Understand normalization and its use cases
Learn to normalize data to the 3rd Normal Form
Course Provider
Provider Udacity's Stats at AZClass
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Quiz
Submitted Sucessfully
1. What is the main purpose of data architecture?
2. What is the role of data governance?
3. What is the purpose of scalability and flexibility in database design?
4. What is data governance?
Correct Answer: It is the process of managing and protecting data assets.
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