We may earn an affiliate commission when you visit our partners.
David Dalsveen
By the end of this project, you will use SQL to manage a large COVID-19 dataset using MySQL Workbench.
Read more
By the end of this project, you will use SQL to manage a large COVID-19 dataset using MySQL Workbench.
Read more
By the end of this project, you will use SQL to manage a large COVID-19 dataset using MySQL Workbench.
MySQL is a widely used relational database and can be used with large datasets if it is managed appropriately. This may include using the proper database engine, indexing the database, creating summary tables, and using proper database queries.
Register for this course and see more details by visiting:
OpenCourser.com/course/fbr73s/how
Three deals to help you save
We found three deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 12
Annual Subscription Savings
Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.
Only $239!
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off
What's inside
Syllabus
Project Overview
By the end of this project, you will use SQL to manage a large dataset using MySQL Workbench.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Enhances data management capabilities with MySQL Workbench, a widely used tool in industry
Builds a solid foundation in managing large datasets using SQL
Provides practical skills in database management, indexing, and query optimization
Involves working with a large COVID-19 dataset, adding real-world relevance
Delivered by David Dalsveen, an experienced instructor in data management
Save this course
Save How to Use SQL with Large Datasets 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 How to Use SQL with Large Datasets with these
activities:
Review SQL Syntax
Show steps
Refresh your knowledge of SQL syntax to strengthen your foundation before diving into the course.
Browse courses on
SQL Syntax
Show steps
-
Go through online tutorials on SQL syntax
-
Practice writing basic SQL queries
Review SQL basics
Show steps
Review the basics of SQL to ensure a strong foundation for the course.
Browse courses on
SQL
Show steps
-
Review SQL syntax and commands
-
Practice writing basic SQL queries
-
Complete online tutorials or exercises on SQL basics
Compile course materials
Show steps
Compile notes, assignments, quizzes, and exams to review and stay organized throughout the course.
Show steps
-
Gather all course materials, including notes, assignments, quizzes, and exams
-
Organize materials by topic or module
-
Create a system for easy retrieval and review of materials
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join a study group
Show steps
Join a study group to discuss course topics, share resources, and provide support.
Show steps
-
Find or create a study group with peers in the course
-
Meet regularly to discuss course material, ask questions, and work on assignments
-
Collaborate on projects or assignments
Follow MySQL tutorials
Show steps
Follow guided tutorials to supplement course content and enhance understanding of MySQL.
Browse courses on
MySQL
Show steps
-
Identify online tutorials or courses on MySQL
-
Follow the tutorials and complete the exercises
-
Review and apply the concepts learned in the tutorials
Practice SQL Queries on Sample Dataset
Show steps
Reinforce your understanding of SQL queries by practicing on a sample dataset, which will help you apply concepts learned in the course.
Browse courses on
SQL Queries
Show steps
-
Obtain a sample dataset relevant to the course
-
Write SQL queries to retrieve, filter, and manipulate data
-
Review the results and identify areas for improvement
Practice SQL queries
Show steps
Practice writing and executing SQL queries to reinforce understanding.
Browse courses on
SQL
Show steps
-
Find online SQL practice exercises or platforms
-
Practice writing queries for data retrieval, manipulation, and analysis
-
Review and debug SQL queries to identify and fix errors
Design a Database Schema
Show steps
Apply your knowledge of database design principles to create a schema for a specific scenario, enhancing your understanding of data organization and retrieval.
Show steps
-
Create a logical data model
-
Define the purpose and scope of the database
-
Identify entities, attributes, and relationships
-
Translate the model into a physical database schema
-
Review and optimize the schema
Attend a MySQL workshop
Show steps
Attend a workshop to gain hands-on experience with MySQL and learn from experts.
Browse courses on
MySQL
Show steps
-
Find and register for a relevant MySQL workshop
-
Attend the workshop and actively participate in the activities
-
Apply the knowledge and skills gained in the workshop to the course
Contribute to Open Source MySQL Projects
Show steps
Engage with the MySQL community by contributing to open source projects, gaining practical experience and deepening your understanding of the technology.
Browse courses on
Software Development
Show steps
-
Identify open source MySQL projects
-
Review the project documentation and codebase
-
Contribute bug fixes, feature enhancements, or documentation improvements
-
Participate in community discussions and forums
Review SQL Syntax
Show steps
Refresh your knowledge of SQL syntax to strengthen your foundation before diving into the course.
Browse courses on
SQL Syntax
Show steps
Show steps
Show steps
- Go through online tutorials on SQL syntax
- Practice writing basic SQL queries
Review SQL basics
Show steps
Review the basics of SQL to ensure a strong foundation for the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL syntax and commands
- Practice writing basic SQL queries
- Complete online tutorials or exercises on SQL basics
Compile course materials
Show steps
Compile notes, assignments, quizzes, and exams to review and stay organized throughout the course.
Show steps
Show steps
Show steps
- Gather all course materials, including notes, assignments, quizzes, and exams
- Organize materials by topic or module
- Create a system for easy retrieval and review of materials
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Join a study group
Show steps
Join a study group to discuss course topics, share resources, and provide support.
Show steps
Show steps
Show steps
- Find or create a study group with peers in the course
- Meet regularly to discuss course material, ask questions, and work on assignments
- Collaborate on projects or assignments
Follow MySQL tutorials
Show steps
Follow guided tutorials to supplement course content and enhance understanding of MySQL.
Browse courses on
MySQL
Show steps
Show steps
Show steps
- Identify online tutorials or courses on MySQL
- Follow the tutorials and complete the exercises
- Review and apply the concepts learned in the tutorials
Practice SQL Queries on Sample Dataset
Show steps
Reinforce your understanding of SQL queries by practicing on a sample dataset, which will help you apply concepts learned in the course.
Browse courses on
SQL Queries
Show steps
Show steps
Show steps
- Obtain a sample dataset relevant to the course
- Write SQL queries to retrieve, filter, and manipulate data
- Review the results and identify areas for improvement
Practice SQL queries
Show steps
Practice writing and executing SQL queries to reinforce understanding.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online SQL practice exercises or platforms
- Practice writing queries for data retrieval, manipulation, and analysis
- Review and debug SQL queries to identify and fix errors
Design a Database Schema
Show steps
Apply your knowledge of database design principles to create a schema for a specific scenario, enhancing your understanding of data organization and retrieval.
Show steps
Show steps
Show steps
- Create a logical data model
- Define the purpose and scope of the database
- Identify entities, attributes, and relationships
- Translate the model into a physical database schema
- Review and optimize the schema
Attend a MySQL workshop
Show steps
Attend a workshop to gain hands-on experience with MySQL and learn from experts.
Browse courses on
MySQL
Show steps
Show steps
Show steps
- Find and register for a relevant MySQL workshop
- Attend the workshop and actively participate in the activities
- Apply the knowledge and skills gained in the workshop to the course
Contribute to Open Source MySQL Projects
Show steps
Engage with the MySQL community by contributing to open source projects, gaining practical experience and deepening your understanding of the technology.
Browse courses on
Software Development
Show steps
Show steps
Show steps
- Identify open source MySQL projects
- Review the project documentation and codebase
- Contribute bug fixes, feature enhancements, or documentation improvements
- Participate in community discussions and forums
Career center
Learners who complete How to Use SQL with Large Datasets will develop knowledge and skills
that may be useful to these careers:
Database Architect
Database Architect
A Database Architect uses SQL to design and implement database systems, which may include systems that store large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Database Architect, including how to use SQL to manage large datasets using MySQL Workbench.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer uses SQL to access and prepare data for machine learning models, which may include models that use data on COVID-19. This course will provide learners with the skills and knowledge needed to become a Machine Learning Engineer, including how to use SQL to manage large datasets using MySQL Workbench.
Business Analyst
Business Analyst
A Business Analyst uses SQL to analyze data and make recommendations for businesses, which may include data on COVID-19. This course will provide learners with the skills and knowledge needed to become a Business Analyst, including how to use SQL to manage large datasets using MySQL Workbench.
Computer Scientist
Computer Scientist
A Computer Scientist uses SQL to research and develop new computer technologies, which may include technologies that use large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Computer Scientist, including how to use SQL to manage large datasets using MySQL Workbench.
Information Technology Manager
Information Technology Manager
An Information Technology Manager uses SQL to manage and maintain an organization's information technology systems, which may include systems that store large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become an Information Technology Manager, including how to use SQL to manage large datasets using MySQL Workbench.
Systems Analyst
Systems Analyst
A Systems Analyst uses SQL to design and implement database systems, which may include systems that store large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Systems Analyst, including how to use SQL to manage large datasets using MySQL Workbench.
Data Scientist
Data Scientist
A Data Scientist uses SQL to analyze data and build models, which may include data on COVID-19. This course will provide learners with the skills and knowledge needed to become a Data Scientist, including how to use SQL to manage large datasets using MySQL Workbench.
Software Engineer
Software Engineer
A Software Engineer uses SQL to develop and maintain software applications, which may include applications that use large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Software Engineer, including how to use SQL to manage large datasets using MySQL Workbench.
Data Analyst
Data Analyst
A Data Analyst uses SQL to query and analyze large datasets, which may include COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Data Analyst, including how to use SQL to manage large datasets using MySQL Workbench.
Database Administrator
Database Administrator
A Database Administrator uses SQL to manage and maintain databases, including those that store large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Database Administrator, including how to use SQL to manage large datasets using MySQL Workbench.
Data Engineer
Data Engineer
A Data Engineer uses SQL to develop and maintain data pipelines, which may include pipelines that process large datasets such as COVID-19 data. This course will provide learners with the skills and knowledge needed to become a Data Engineer, including how to use SQL to manage large datasets using MySQL Workbench.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses SQL to analyze data and solve business problems, which may include problems related to COVID-19. This course will provide learners with the skills and knowledge needed to become an Operations Research Analyst, including how to use SQL to manage large datasets using MySQL Workbench.
Statistician
Statistician
A Statistician uses SQL to analyze data and draw conclusions, which may include data on COVID-19. This course will provide learners with the skills and knowledge needed to become a Statistician, including how to use SQL to manage large datasets using MySQL Workbench.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses SQL to analyze financial data and make investment decisions, which may include data on COVID-19. This course will provide learners with the skills and knowledge needed to become a Quantitative Analyst, including how to use SQL to manage large datasets using MySQL Workbench.
Epidemiologist
Epidemiologist
An Epidemiologist uses SQL to analyze data and investigate the causes of disease, which may include COVID-19. This course will provide learners with the skills and knowledge needed to become an Epidemiologist, including how to use SQL to manage large datasets using MySQL Workbench.
For more career information including salaries, visit:
OpenCourser.com/course/fbr73s/how
Reading list
We've selected eight 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
How to Use SQL with Large Datasets.
Practical guide to optimizing MySQL performance. It covers a wide range of topics, including query optimization, indexing, and replication. It valuable resource for anyone who wants to improve the performance of their MySQL database.
Save
Fun and easy way to learn SQL. It uses a visual approach to teaching SQL, making it easy to understand the concepts. It valuable resource for anyone who wants to learn more about SQL.
Save
Practical guide to using SQL for data analysis. It covers a wide range of topics, including data cleaning, data exploration, and data visualization. It valuable resource for anyone who wants to learn more about SQL or who wants to use SQL for data analysis.
Classic guide to SQL and relational theory. It covers all the basics of SQL, as well as more advanced topics such as data normalization and database design. It valuable resource for anyone who wants to learn more about SQL or who wants to improve the quality of their SQL code.
Collection of essays on the art of SQL. It covers a wide range of topics, including query optimization, data modeling, and database design. It valuable resource for anyone who wants to learn more about SQL or who wants to improve the quality of their SQL code.
Comprehensive guide to SQL performance tuning. It covers a wide range of topics, including query optimization, indexing, and database design. It valuable resource for anyone who wants to learn more about SQL or who wants to improve the performance of their SQL code.
Collection of common SQL antipatterns. It covers a wide range of topics, including query optimization, data modeling, and database design. It valuable resource for anyone who wants to learn more about SQL or who wants to avoid common SQL mistakes.
Comprehensive guide to SQL injection attacks and defense. It covers a wide range of topics, including SQL injection techniques, prevention methods, and detection tools. It valuable resource for anyone who wants to learn more about SQL injection attacks or who wants to protect their database from SQL injection attacks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fbr73s/how
Share
Similar courses
Here are nine courses similar to
How to Use SQL with Large Datasets.
SQL - Introduction to SQL with MySQL
OpenCourser.com/course/4opvl5/sql
SQL - Introduction to SQL with MySQL
Clean Data in SQL using MySQL Workbench
OpenCourser.com/course/upzulj/clean
Clean Data in SQL using MySQL Workbench
Working with Big Data
OpenCourser.com/course/uc2cz0/working
Working with Big Data
Introduction to Relational Databases
OpenCourser.com/course/2a6jfj/introduction
Introduction to Relational Databases
Relational Database Design
OpenCourser.com/course/9vmnol/relational
Relational Database Design
Introduction to Microsoft Excel
OpenCourser.com/course/12vl4j/introduction
Introduction to Microsoft Excel
Data Warehousing with Amazon Redshift
OpenCourser.com/course/q9x6wn/data
Data Warehousing with Amazon Redshift
Create Relational Database Tables Using SQLiteStudio
OpenCourser.com/course/g3mwhz/create
Create Relational Database Tables Using SQLiteStudio
Working with Dates and Times in Python
OpenCourser.com/course/k2avxe/working
Working with Dates and Times in Python
Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Enhances data management capabilities with MySQL Workbench, a widely used tool in industry
Builds a solid foundation in managing large datasets using SQL
Provides practical skills in database management, indexing, and query optimization
Involves working with a large COVID-19 dataset, adding real-world relevance
Delivered by David Dalsveen, an experienced instructor in 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