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Karl Krueger
Take Udacity's Introduction to Relational Databases course and learn the basics of SQL and how to connect your Python code to a relational database. Learn online with Udacity.
Register for this course and see more details by visiting:
OpenCourser.com/course/v3xjve/udacity
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What's inside
Syllabus
Learn the principles behind relational data organization: tables, queries, aggregations, keys, and joins.
Start learning SQL by using the select and insert statements to read and write data in database tables.
Read more
Syllabus
Learn the principles behind relational data organization: tables, queries, aggregations, keys, and joins.
Start learning SQL by using the select and insert statements to read and write data in database tables.
Read more
Learn the Python database API, and apply your knowledge to fix common bugs that arise in database-backed web services.
Create your own database tables using normalized table design, using keys to declare relationships between tables; then apply these relationships to draw conclusions from data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the fundamentals of relational data organization using tables, queries, aggregations, keys, and joins, which is standard in industry and academia
Taught by Karl Krueger, who are recognized for their work in database and software development
Develops foundational skills for working with relational databases, which are core to development and data science
Learners come away with a solid understanding of SQL, which is highly relevant in industry and academia
Provides hands-on labs and interactive materials, which strengthens understanding and retention
Requires learners to come in with limited background knowledge, making it accessible to beginners
Save this course
Save Intro to Relational Databases to your list so you can find it easily later:
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Reviews summary
Intro to relational databases
This course provides a basic introduction to using a relational database from code and covers the basics of SQL. Overall, the course is rated poorly by students, but this may be due to technical difficulties setting up tools outside the scope of the course material.
Basic concepts oversimplified to the point of confusion.
"they try to oversimplify it to the point where it actually becomes confusing!"
Lectures lack sufficient detail to complete assignments.
"Not enough information is given in the lectures to complete the programming assignments..."
Poor quality video lacks critical information for troubleshooting.
"Apparently, they do have answers to the problem on the discussion boards but you have to pay to see it."
"Absolutely no troubleshooting guidance other than an EXTREMELY SLOPPY, poor quality video that literally mentioned critically important issues as an afterthought..."
Significant difficulty installing required tools.
"Having considerable trouble with getting the required tools...in place so that I can just move on to the 3rd lesson."
"I have spent countless hours trying to get it stood up."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Intro to Relational Databases with these
activities:
Review the Book 'Database Systems: The Complete Book'
Show steps
Gain a comprehensive understanding of database systems by reading and reviewing this classic textbook.
View
Database Systems: The Complete Book
on Amazon
Show steps
-
Read through the book carefully, taking notes and highlighting important concepts.
-
Complete the exercises and quizzes at the end of each chapter.
-
Summarize the key concepts and principles covered in the book.
Review Python Basics
Show steps
Strengthen your Python skills by reviewing the basics before starting the course.
Browse courses on
Python
Show steps
-
Go over Python data types, variables, and operators.
-
Practice writing simple Python programs.
-
Complete online Python tutorials or exercises.
Attend Database Meetups or Conferences
Show steps
Connect with other database professionals and learn about the latest trends in the field.
Browse courses on
Networking
Show steps
-
Search for upcoming database meetups or conferences in your area.
-
Attend the events and actively participate in discussions.
-
Exchange contact information with other attendees.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice SQL Queries
Show steps
Reinforce your understanding of SQL syntax and concepts by completing practice exercises.
Browse courses on
SQL
Show steps
-
Find online SQL practice exercises or create your own.
-
Set a timer for 30 minutes and see how many queries you can write correctly.
-
Review your answers and identify areas where you need improvement.
Follow Tutorials on Database Optimization Techniques
Show steps
Enhance your understanding of database optimization techniques by following guided tutorials.
Browse courses on
Database Optimization
Show steps
-
Search for online tutorials on database optimization.
-
Choose tutorials that cover topics relevant to your course.
-
Follow the tutorials step-by-step and apply the techniques to your own database projects.
Create a Database Design Document
Show steps
Deepen your understanding of database design principles by creating a detailed document that outlines the structure and relationships of a database.
Browse courses on
Database Design
Show steps
-
Choose a real-world scenario or project that requires a database.
-
Identify the entities involved and their relationships.
-
Create an ER diagram to visualize the database structure.
-
Write a document that describes the table structure, data types, and constraints.
-
Review your document and make any necessary revisions.
Contribute to Open Source Database Projects
Show steps
Gain practical experience and contribute to the database community by participating in open source projects.
Browse courses on
Open Source
Show steps
-
Find open source database projects that align with your interests.
-
Review the project documentation and identify areas where you can contribute.
-
Submit bug reports, feature requests, or code contributions.
-
Collaborate with other developers on the project.
Review the Book 'Database Systems: The Complete Book'
Show steps
Gain a comprehensive understanding of database systems by reading and reviewing this classic textbook.
View
Database Systems: The Complete Book
on Amazon
Show steps
Show steps
Show steps
- Read through the book carefully, taking notes and highlighting important concepts.
- Complete the exercises and quizzes at the end of each chapter.
- Summarize the key concepts and principles covered in the book.
Review Python Basics
Show steps
Strengthen your Python skills by reviewing the basics before starting the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Go over Python data types, variables, and operators.
- Practice writing simple Python programs.
- Complete online Python tutorials or exercises.
Attend Database Meetups or Conferences
Show steps
Connect with other database professionals and learn about the latest trends in the field.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Search for upcoming database meetups or conferences in your area.
- Attend the events and actively participate in discussions.
- Exchange contact information with other attendees.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice SQL Queries
Show steps
Reinforce your understanding of SQL syntax and concepts by completing practice exercises.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online SQL practice exercises or create your own.
- Set a timer for 30 minutes and see how many queries you can write correctly.
- Review your answers and identify areas where you need improvement.
Follow Tutorials on Database Optimization Techniques
Show steps
Enhance your understanding of database optimization techniques by following guided tutorials.
Browse courses on
Database Optimization
Show steps
Show steps
Show steps
- Search for online tutorials on database optimization.
- Choose tutorials that cover topics relevant to your course.
- Follow the tutorials step-by-step and apply the techniques to your own database projects.
Create a Database Design Document
Show steps
Deepen your understanding of database design principles by creating a detailed document that outlines the structure and relationships of a database.
Browse courses on
Database Design
Show steps
Show steps
Show steps
- Choose a real-world scenario or project that requires a database.
- Identify the entities involved and their relationships.
- Create an ER diagram to visualize the database structure.
- Write a document that describes the table structure, data types, and constraints.
- Review your document and make any necessary revisions.
Contribute to Open Source Database Projects
Show steps
Gain practical experience and contribute to the database community by participating in open source projects.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find open source database projects that align with your interests.
- Review the project documentation and identify areas where you can contribute.
- Submit bug reports, feature requests, or code contributions.
- Collaborate with other developers on the project.
Career center
Learners who complete Intro to Relational Databases will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
Data Architects design and manage data systems that meet the needs of an organization. This course on Relational Databases will provide you with a comprehensive understanding of data modeling, storage, and retrieval techniques. By learning about database design principles, query optimization, and data security, you'll be able to develop and implement scalable and reliable data systems that support data-driven decision-making across the organization.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, constructing, and maintaining data pipelines and infrastructure. This course on Relational Databases will provide you with a deep understanding of data modeling, storage, and retrieval. By learning about table normalization, database APIs, and query optimization, you'll be able to build scalable and reliable data systems that support data-driven decision-making.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining the infrastructure that stores and manages data. This course on Relational Databases will equip you with the knowledge to design and implement database systems, as well as troubleshoot and optimize their performance. By gaining proficiency in SQL, database APIs, and table normalization, you'll be able to ensure the integrity and accessibility of data, which is crucial for organizations of all sizes.
Data Warehouse Manager
Data Warehouse Manager
Data Warehouse Managers are responsible for managing and maintaining data warehouses, which are central repositories of data used for analysis and reporting. This course on Relational Databases will provide you with the knowledge and skills to succeed in this role. By gaining proficiency in data modeling, data integration, and data security, you'll be able to design, implement, and manage data warehouses that support data-driven decision-making across the organization.
Database Developer
Database Developer
Database Developers design, develop, and maintain database systems. This course on Relational Databases will provide you with the technical skills and knowledge to succeed in this role. By gaining proficiency in SQL, database design, and query optimization, you'll be able to create and manage robust and efficient database systems that meet the needs of your organization.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists are responsible for integrating data from multiple sources into a cohesive and consistent format. This course on Relational Databases will provide you with a solid foundation in data integration principles and techniques. By learning about data modeling, data mapping, and data quality, you'll be able to develop and implement effective data integration solutions that support data-driven decision-making across the organization.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course on Relational Databases is highly relevant, as many software applications interact with databases to store and retrieve data. By gaining proficiency in SQL and database connectivity, you'll be able to build robust and efficient data-driven applications.
BI Analyst
BI Analyst
BI Analysts use data analysis and visualization techniques to help organizations make better decisions. This course on Relational Databases will provide you with a strong foundation in data analysis and query techniques. By learning about data modeling, SQL, and data visualization, you'll be able to extract meaningful insights from data and communicate them effectively to stakeholders.
Data Analyst
Data Analyst
Working as a Data Analyst involves gathering, cleaning, and analyzing data to extract meaningful insights. This course on Relational Databases will provide you with a solid understanding of data organization, SQL, and database connectivity, which are essential skills for success in this field. By learning how to write queries, perform aggregations, and establish relationships between tables, you'll be well-equipped to handle complex data analysis tasks.
Data Scientist
Data Scientist
Data Scientists combine analytical skills with programming expertise to extract insights from data. This course on Relational Databases will help you build a strong foundation in data management, providing you with the ability to query, manipulate, and analyze data effectively. Understanding the principles of relational databases will empower you to collaborate with data engineers and other stakeholders to develop data-driven solutions.
Business Analyst
Business Analyst
Business Analysts bridge the gap between business stakeholders and technical teams by translating business requirements into technical specifications. This course on Relational Databases can enhance your ability to understand data-related requirements and communicate them effectively. By gaining proficiency in SQL and data analysis techniques, you'll be able to provide valuable insights to stakeholders and contribute to the development of data-driven solutions.
IT Manager
IT Manager
IT Managers oversee the planning, implementation, and maintenance of an organization's IT infrastructure. This course on Relational Databases can enhance your understanding of data management principles and best practices. By gaining proficiency in database design and administration, you'll be able to make informed decisions about data storage, security, and recovery, ensuring the efficient and reliable operation of your organization's IT systems.
Product Manager
Product Manager
Product Managers are responsible for defining and managing the roadmap of a product or service. This course on Relational Databases can provide you with a deeper understanding of data-driven decision-making. By learning how to analyze data and extract insights, you'll be able to make informed decisions about product features, prioritize development efforts, and measure the success of your product.
Information Security Analyst
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's data and systems. This course on Relational Databases can provide you with a better understanding of data security and privacy principles. By learning about database security techniques and best practices, you'll be able to contribute to the development and implementation of effective security measures, ensuring the confidentiality, integrity, and availability of sensitive data.
For more career information including salaries, visit:
OpenCourser.com/course/v3xjve/udacity
Reading list
We've selected 26 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
Intro to Relational Databases.
Save
Provides a deep dive into the internals of relational databases. It valuable resource for anyone who wants to learn more about how relational databases work under the hood.
Save
Provides a comprehensive overview of databases in German. It valuable resource for anyone who wants to learn more about the design, implementation, and use of databases in German.
This comprehensive textbook provides a thorough overview of database systems, covering all major concepts and techniques. It is an excellent resource for students who want to gain a deep understanding of the field.
This textbook provides a comprehensive overview of database management systems, covering concepts, design, and implementation. It classic resource for understanding the fundamentals of relational databases.
Provides a comprehensive overview of database system concepts. It valuable resource for anyone who wants to learn more about the design, implementation, and use of relational databases.
Provides practical advice on how to design and implement relational databases. It valuable resource for anyone who wants to learn how to create databases that are efficient, scalable, and maintainable.
Save
Provides a comprehensive overview of database management systems from a programming perspective. It valuable resource for anyone who wants to learn how to use SQL and other programming languages to interact with databases.
Save
Provides practical examples and recipes for solving common SQL problems, making it a valuable reference tool for those who want to enhance their SQL skills.
This practical guide teaches students how to write effective SQL queries. It is written in a clear and concise style, making it a great resource for beginners and experienced users alike.
Provides a collection of recipes for solving common SQL problems. It valuable resource for anyone who wants to learn how to use SQL to solve real-world problems.
Provides a quick overview of seven different database technologies. It good choice for anyone who wants to learn more about the different types of databases and how they can be used to solve real-world problems.
Introduces Python libraries for data manipulation and analysis, such as NumPy, Pandas, and Matplotlib. It provides a practical foundation for working with data in Python, which is essential for connecting to and using relational databases.
Provides a practical introduction to databases. It good choice for beginners who want to learn the basics of databases and how to use them to solve real-world problems.
Teaches students how to build data science projects from scratch using Python. It covers all the essential steps, from data collection and cleaning to model building and evaluation.
Save
Covers the principles and practices of database design and implementation. It provides a structured approach to designing and building effective databases.
Save
Is the definitive guide to deep learning. It covers all the major concepts and techniques, from neural networks to reinforcement learning.
Provides a comprehensive introduction to reinforcement learning. It covers all the major concepts and techniques, from Markov decision processes to deep reinforcement learning.
Provides a comprehensive introduction to natural language processing. It covers all the major concepts and techniques, from text classification to machine translation.
Save
Provides a comprehensive introduction to computer vision. It covers all the major concepts and techniques, from image processing to object detection.
Save
Provides a comprehensive introduction to speech and language processing. It covers all the major concepts and techniques, from speech recognition to natural language understanding.
Provides a comprehensive introduction to information retrieval. It covers all the major concepts and techniques, from text indexing to query processing.
Provides a comprehensive introduction to statistical natural language processing. It covers all the major concepts and techniques, from language modeling to machine translation.
Provides a comprehensive introduction to machine learning from a probabilistic perspective. It covers all the major concepts and techniques, from Bayesian inference to deep learning.
Save
Provides a comprehensive introduction to pattern recognition and machine learning. It covers all the major concepts and techniques, from supervised and unsupervised learning to deep learning.
Provides a comprehensive introduction to machine learning. It covers all the major concepts and techniques, from supervised and unsupervised learning to deep learning.
Provides a practical introduction to machine learning for programmers. It covers all the essential concepts and techniques, from data preprocessing to model evaluation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v3xjve/udacity
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Effort
7 hours
Via
Udacity
Instructor
Karl Krueger
Language
English
Good to know
Teaches the fundamentals of relational data organization using tables, queries, aggregations, keys, and joins, which is standard in industry and academia
Taught by Karl Krueger, who are recognized for their work in database and software development
Develops foundational skills for working with relational databases, which are core to development and data science
Learners come away with a solid understanding of SQL, which is highly relevant in industry and academia
Provides hands-on labs and interactive materials, which strengthens understanding and retention
Requires learners to come in with limited background knowledge, making it accessible to beginners
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