We may earn an affiliate commission when you visit our partners.
Data Modeling Fluency
Take our Data Modeling for Beginners course and learn the fundamentals of relational and non-relational data models and the basics of Big Data.
Register for this course and see more details by visiting:
OpenCourser.com/course/42uil1/data
What's inside
Syllabus
In this lesson, you will learn the basic difference between relational and non-relational databases, and how each type of database fits the diverse needs of data consumers.
Read more
Syllabus
In this lesson, you will learn the basic difference between relational and non-relational databases, and how each type of database fits the diverse needs of data consumers.
Read more
In this lesson, you will learn the purpose of data modeling, the strengths and weaknesses of relational databases. You will also learn about normalization, denormalization, and schemas.
In this lesson, you will take a 30000-foot view of big data and see why it is so important. You will also learn the characteristics of big data, and horizontal and vertical scaling.
In this lesson, you will look at the differences between NoSQL and SQL. You will also see why and how NoSQL databases provide capabilities that allow big data to be possible.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Students who are new to data modeling will benefit greatly from this introductory course
Learners can explore the concepts of relational and non-relational data models, gaining an understanding of the capabilities of each
Students will develop a foundation in the fundamentals of big data, understanding its characteristics
This course provides an understanding of NoSQL and SQL databases and their role in big data management
Save this course
Save Data Modeling Fluency to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Data Modeling Fluency.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Data Modeling Fluency will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
Data Architects are responsible for designing and managing the data architecture of an organization. This course can help a Data Architect build a strong foundation as it teaches the fundamentals of data modeling.
Data Modeler
Data Modeler
Data Modelers are responsible for designing and building data models, which are used to organize and manage data in a way that makes it easy to access and use. This course can help a Data Modeler build a strong foundation as it teaches the fundamentals of relational and non-relational data models.
Database Designer
Database Designer
Database Designers are responsible for designing and building databases. This course can help a Database Designer build a strong foundation as it teaches the fundamentals of relational and non-relational databases.
Information Architect
Information Architect
Information Architects are responsible for designing and managing the information architecture of an organization. This course can help an Information Architect build a strong foundation as it teaches the fundamentals of data modeling.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. This course can help a Data Engineer build a foundation as it teaches the basics of data modeling.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course can help a Database Administrator build a foundation as it teaches the basics of relational and non-relational databases.
Data Analyst
Data Analyst
Data Analysts use their modeling skills to sort through large volumes of data, analyze the 'big picture,' and help organizations make informed decisions. This course can help a Data Analyst build a foundation as it teaches data modeling for beginners.
Data Scientist
Data Scientist
Data Scientists use their modeling skills to analyze data and develop predictive models. This course can help a Data Scientist build a foundation as it teaches the basics of data modeling.
Software Engineer
Software Engineer
Software Engineers use their modeling skills to design and develop software applications. This course can help a Software Engineer build a foundation as it teaches the basics of data modeling.
Business Analyst
Business Analyst
Business Analysts use their modeling skills to analyze business processes and identify areas for improvement. This course can help a Business Analyst build a foundation as it teaches the basics of data modeling.
Project Manager
Project Manager
Project Managers use their modeling skills to plan and execute projects. This course can help a Project Manager build a foundation as it teaches the basics of data modeling.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their modeling skills to analyze operations and identify areas for improvement. This course can help an Operations Research Analyst build a foundation as it teaches the basics of data modeling.
Market Researcher
Market Researcher
Market Researchers use their modeling skills to analyze market data and identify trends. This course can help a Market Researcher build a foundation as it teaches the basics of data modeling.
Financial Analyst
Financial Analyst
Financial Analysts use their modeling skills to analyze financial data and make investment recommendations. This course can help a Financial Analyst build a foundation as it teaches the basics of data modeling.
Statistician
Statistician
Statisticians use their modeling skills to analyze data and draw conclusions. This course can help a Statistician build a foundation as it teaches the basics of data modeling.
For more career information including salaries, visit:
OpenCourser.com/course/42uil1/data
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Modeling Fluency.
Another comprehensive textbook that covers both relational and non-relational database systems. It valuable resource for students who want to delve deeper into the technical aspects of data modeling and database management.
A practical guide to data modeling and database design. It provides detailed explanations of different data modeling techniques and how to apply them to real-world scenarios.
Save
A concise guide to NoSQL databases. It provides an overview of the different types of NoSQL databases, their strengths and weaknesses, and how to choose the right one for a specific application.
Save
A comprehensive guide to data analysis using R. It covers a wide range of topics, from data manipulation and visualization to statistical modeling and machine learning.
A comprehensive guide to data management for data scientists. It covers a wide range of topics, from data storage and retrieval to data quality and governance.
Save
A practical guide to data visualization. It provides a step-by-step approach to creating effective data visualizations, and covers a wide range of topics, from choosing the right chart type to designing for different audiences.
A comprehensive guide to statistical methods for data analysis. It covers a wide range of topics, from descriptive statistics to inferential statistics, and valuable resource for students who want to develop a strong foundation in statistics.
A comprehensive guide to machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning, and provides a theoretical foundation for machine learning algorithms.
Save
A comprehensive guide to deep learning. It covers a wide range of topics, from neural networks to deep learning architectures, and provides a theoretical foundation for deep learning algorithms.
A comprehensive guide to Bayesian reasoning and machine learning. It covers a wide range of topics, from Bayesian inference to Bayesian model selection, and provides a theoretical foundation for Bayesian machine learning algorithms.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/42uil1/data
Share
Similar courses
Here are nine courses similar to
Data Modeling Fluency.
Microsoft Azure Cosmos DB
OpenCourser.com/course/ve457i/microsoft
Microsoft Azure Cosmos DB
Data Engineering Capstone Project
OpenCourser.com/course/c936bx/data
Data Engineering Capstone Project
Introduction to DBMS and SQL Fundamentals
OpenCourser.com/course/qtbtng/introduction
Introduction to DBMS and SQL Fundamentals
Management of Relational and Non-relational Databases
OpenCourser.com/course/ef1auj/management
Management of Relational and Non-relational Databases
Explore Core Data Concepts in Microsoft Azure
OpenCourser.com/course/kkw66p/explore
Explore Core Data Concepts in Microsoft Azure
Understanding Non-relational Data with Azure
OpenCourser.com/course/grktkx/understanding
Understanding Non-relational Data with Azure
Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
OpenCourser.com/course/x4bh2x/preparing
Preparing for DP-900: Microsoft Azure Data Fundamentals...
Accessing Non-relational Databases in Go
OpenCourser.com/course/s256uz/accessing
Accessing Non-relational Databases in Go
Data Analytics Basics for Everyone
OpenCourser.com/course/hqvc0y/data
Data Analytics Basics for Everyone
Effort
9 hours
Via
Udacity
Language
English
Good to know
Students who are new to data modeling will benefit greatly from this introductory course
Learners can explore the concepts of relational and non-relational data models, gaining an understanding of the capabilities of each
Students will develop a foundation in the fundamentals of big data, understanding its characteristics
This course provides an understanding of NoSQL and SQL databases and their role in big data management
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser