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Kennedy Behrman,
Gabriel Ruttner,
Caryn McCarthy,
and
Amy Hua
Enhance your skills with our online course. Learn Data Modeling and SQL, master relational databases, and leverage Python for database logic. Enroll now!
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Command line interface basics
- Basic SQL
- Basic web development
- Basic Python
- Relational database basics
Read more
Enhance your skills with our online course. Learn Data Modeling and SQL, master relational databases, and leverage Python for database logic. Enroll now!
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Command line interface basics
- Basic SQL
- Basic web development
- Basic Python
- Relational database basics
Read more
Enhance your skills with our online course. Learn Data Modeling and SQL, master relational databases, and leverage Python for database logic. Enroll now!
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Command line interface basics
- Basic SQL
- Basic web development
- Basic Python
- Relational database basics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/4f0fd3/sql
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What's inside
Syllabus
Meet your instructor!
Understand what this course will cover and the learning objectives achieved.
Interact with relational databases. Review SQL and the Client-Server Model. Use Postgres, understand DBAPIs, and use psycopg2.
Read more
Syllabus
Meet your instructor!
Understand what this course will cover and the learning objectives achieved.
Interact with relational databases. Review SQL and the Client-Server Model. Use Postgres, understand DBAPIs, and use psycopg2.
Read more
Learn to use SQLAlchemy and SQLAlchemy ORM to work with a relational database in Python.
Get to know Model.query and the SQLAlchemy Object Lifecycle to master how to query for and change records in a database.
Handle changes to your database schema over time using a version control system involving migration files.
Build out the ability to read and create todo items in our To-do app, handling changes from the database to the views.
Finish developing our To-Do app with update and delete functionality. Model relationships with To-Do lists.
In this project, you'll demonstrate your new SQL and data modeling skills by creating a site to help coordinate bookings between artists and venues.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
For those that want to leverage SQL, Python, and SQLAlchemy in conjunction with data modeling in just two weeks, this course is an excellent option
Those who want to leverage Python for database logic in a short timeframe will benefit from this course
Those with no knowledge of SQL, command-line interfaces, basic web development, basic Python, or relational databases should look to develop those skills before enrolling in this course
Save this course
Save SQL and Data Modeling for the Web to your list so you can find it easily later:
Save
Save
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 SQL and Data Modeling for the Web with these
activities:
Review basic SQL
Show steps
Review SQL concepts like data types, operators, and queries to strengthen your foundational understanding and prepare for the course.
Browse courses on
SQL
Show steps
-
Go over your notes or online resources on SQL basics
-
Solve practice problems or exercises on SQL
-
Set up a database environment and practice creating tables, inserting data, and querying
Follow tutorials on SQLAlchemy
Show steps
Enhance your understanding of SQLAlchemy by following guided tutorials that demonstrate how to interact with relational databases using Python.
Browse courses on
SQLAlchemy
Show steps
-
Find online tutorials or documentation on SQLAlchemy
-
Go through the tutorials and practice the concepts yourself
-
Build a small project using SQLAlchemy to apply your knowledge
Join a study group or online forum
Show steps
Connect with other learners to discuss course topics, share insights, and support each other's progress. This can enhance your understanding and retention of the material.
Show steps
-
Find or create a study group or join an online forum related to the course
-
Participate in discussions, ask questions, and share resources
-
Collaborate on projects or assignments if possible
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Database Systems: The Complete Book' by Garcia-Molina et al.
Show steps
Expand your knowledge beyond the course material by reading a comprehensive book on database systems. This will provide you with a deeper understanding of the concepts and technologies covered in the course.
View
Database Systems: The Complete Book
on Amazon
Show steps
-
Obtain a copy of the book
-
Read through the chapters relevant to the course topics
-
Take notes, highlight important concepts, and summarize key ideas
Contribute to an open-source database project
Show steps
Gain practical experience and contribute to the open-source community by working on a real-world database project. This will expose you to industry-standard practices and enhance your problem-solving skills.
Browse courses on
SQL
Show steps
-
Find an open-source database project that aligns with your interests
-
Review the project's documentation and codebase
-
Identify an area where you can contribute, such as bug fixing or feature development
-
Submit a pull request with your proposed changes
-
Collaborate with other contributors and maintainers to improve your contribution
Build a data analysis pipeline using Python
Show steps
Develop your skills in data analysis by building a data pipeline using Python. This project will involve data cleaning, transformation, and visualization, providing you with hands-on experience with real-world data.
Browse courses on
Python
Show steps
-
Gather a dataset that aligns with your interests
-
Clean and preprocess the data to prepare it for analysis
-
Perform data analysis and visualization to identify patterns and insights
-
Create a report or presentation to communicate your findings
Attend a workshop on data modeling and database design
Show steps
Gain practical knowledge and insights by attending a workshop focused on data modeling and database design. This will provide you with an opportunity to learn industry best practices and exchange ideas with experts in the field.
Browse courses on
Data Modeling
Show steps
-
Find and register for a workshop that aligns with your learning goals
-
Attend the workshop and actively participate in the sessions
-
Take notes, ask questions, and network with other attendees
Review basic SQL
Show steps
Review SQL concepts like data types, operators, and queries to strengthen your foundational understanding and prepare for the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Go over your notes or online resources on SQL basics
- Solve practice problems or exercises on SQL
- Set up a database environment and practice creating tables, inserting data, and querying
Follow tutorials on SQLAlchemy
Show steps
Enhance your understanding of SQLAlchemy by following guided tutorials that demonstrate how to interact with relational databases using Python.
Browse courses on
SQLAlchemy
Show steps
Show steps
Show steps
- Find online tutorials or documentation on SQLAlchemy
- Go through the tutorials and practice the concepts yourself
- Build a small project using SQLAlchemy to apply your knowledge
Join a study group or online forum
Show steps
Connect with other learners to discuss course topics, share insights, and support each other's progress. This can enhance your understanding and retention of the material.
Show steps
Show steps
Show steps
- Find or create a study group or join an online forum related to the course
- Participate in discussions, ask questions, and share resources
- Collaborate on projects or assignments if possible
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Database Systems: The Complete Book' by Garcia-Molina et al.
Show steps
Expand your knowledge beyond the course material by reading a comprehensive book on database systems. This will provide you with a deeper understanding of the concepts and technologies covered in the course.
View
Database Systems: The Complete Book
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book
- Read through the chapters relevant to the course topics
- Take notes, highlight important concepts, and summarize key ideas
Contribute to an open-source database project
Show steps
Gain practical experience and contribute to the open-source community by working on a real-world database project. This will expose you to industry-standard practices and enhance your problem-solving skills.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find an open-source database project that aligns with your interests
- Review the project's documentation and codebase
- Identify an area where you can contribute, such as bug fixing or feature development
- Submit a pull request with your proposed changes
- Collaborate with other contributors and maintainers to improve your contribution
Build a data analysis pipeline using Python
Show steps
Develop your skills in data analysis by building a data pipeline using Python. This project will involve data cleaning, transformation, and visualization, providing you with hands-on experience with real-world data.
Browse courses on
Python
Show steps
Show steps
Show steps
- Gather a dataset that aligns with your interests
- Clean and preprocess the data to prepare it for analysis
- Perform data analysis and visualization to identify patterns and insights
- Create a report or presentation to communicate your findings
Attend a workshop on data modeling and database design
Show steps
Gain practical knowledge and insights by attending a workshop focused on data modeling and database design. This will provide you with an opportunity to learn industry best practices and exchange ideas with experts in the field.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Find and register for a workshop that aligns with your learning goals
- Attend the workshop and actively participate in the sessions
- Take notes, ask questions, and network with other attendees
Career center
Learners who complete SQL and Data Modeling for the Web will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
Database Administrators deal with the day-to-day operations of databases, such as performance tuning, managing security permissions, and reorganizing and modifying database structures. This course will teach you the basics of SQL and data modeling in Python, which are both essential skills for aspiring Database Administrators.
Data Analyst
Data Analyst
Data Analysts collect, analyze, interpret, and present data to business stakeholders. This course will provide you with the essential skills in SQL and data modeling, which are in high demand for Data Analysts.
Data Engineer
Data Engineer
Data Engineers build, maintain, and troubleshoot data pipelines. This course will help you build a foundation in SQL and data modeling, both of which are necessary for Data Engineers to excel.
Full-Stack Developer
Full-Stack Developer
Full-Stack Developers create and maintain both the front-end and back-end of web applications, which means they need to have a solid foundation in both web development and database technologies. This course will teach you the essentials of SQL and data modeling, which are essential for full-stack development.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course will introduce you to SQL and data modeling in Python, both of which are essential for web development.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to the design, development, deployment, and maintenance of software systems. This course will provide you with the foundation in SQL and data modeling, which are essential for many Software Engineers.
Information Security Analyst
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's computer systems and networks.
Business Analyst
Business Analyst
Business Analysts analyze an organization's business processes and needs to identify opportunities for improvement. This course may be particularly useful if you are interested in specializing in data or information analysis.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may help you build a foundation in data management, which can be useful for Project Managers who work on projects involving data.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design computer systems to meet the needs of an organization. This course may be particularly useful if you are interested in specializing in data or information systems.
Database Designer
Database Designer
Database Designers design and develop the structure of databases. This course will teach you the fundamentals of data modeling, which is a critical skill for Database Designers.
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data. This course may be particularly useful if you are interested in specializing in data analysis or data modeling.
Information Architect
Information Architect
Information Architects design and organize information systems. This course may be particularly useful if you are interested in specializing in data or information architecture.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. This course may be particularly useful if you are interested in specializing in writing documentation for data or information systems.
Computer Programmer
Computer Programmer
Computer Programmers write and maintain computer programs. This course may be particularly useful if you are interested in specializing in data or information programming.
For more career information including salaries, visit:
OpenCourser.com/course/4f0fd3/sql
Reading list
We've selected nine 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
SQL and Data Modeling for the Web.
This comprehensive textbook covers all aspects of database systems, from data modeling to query optimization. It is suitable for students and professionals who want a deep understanding of the underlying principles of database technology.
Provides a comprehensive overview of the challenges and best practices involved in designing data-intensive applications. It is particularly relevant for those who want to build scalable and reliable systems.
Provides a deep dive into the performance characteristics of SQL queries. It is invaluable for those who want to understand how to optimize SQL queries for speed and efficiency.
Provides a comprehensive introduction to Python for data analysis. It covers essential topics such as data manipulation, visualization, and machine learning.
Classic guide to dimensional modeling, a technique used for designing data warehouses. It is essential reading for those who want to build data warehouses that are optimized for performance and usability.
Provides a comprehensive introduction to natural language processing, using Python as the primary programming language. It covers essential topics such as text preprocessing, text classification, and machine translation.
Introduces the fundamental concepts of data science, using Python as the primary programming language. It is suitable for beginners who want to learn the basics of data science.
Provides a comprehensive introduction to deep learning, using Python as the primary programming language. It covers essential topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Explores the techniques used by attackers to exploit SQL injection vulnerabilities. It also provides practical advice on how to prevent and mitigate these attacks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4f0fd3/sql
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Effort
4 weeks
Level
Intermediate
Via
Udacity
Instructors
Kennedy Behrman
Gabriel Ruttner
Caryn McCarthy
Amy Hua
Language
English
Good to know
For those that want to leverage SQL, Python, and SQLAlchemy in conjunction with data modeling in just two weeks, this course is an excellent option
Those who want to leverage Python for database logic in a short timeframe will benefit from this course
Those with no knowledge of SQL, command-line interfaces, basic web development, basic Python, or relational databases should look to develop those skills before enrolling in this course
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