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Noah Gift
In this 2 hour project, you will get hands-on practice with MySQL for data engineering tasks. You will learn how to interact with MySQL databases from the command line interface, import and modify external datasets, integrate MySQL with Python applications, and more. By the end, you will have practical experience with essential MySQL skills needed for manipulating, processing, and working with relational databases in a data engineering context.
Register for this course and see more details by visiting:
OpenCourser.com/course/qn0m1e/mysql
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What's inside
Syllabus
Project Overview
Here you will describe what the project is about...give an overview of what the learner will achieve by completing this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores MySQL for data engineering, used extensively in industry
Provides hands-on practice with MySQL, offering practical experience
Covers integrating MySQL with Python applications, essential for modern data engineering
Tailored for those new to MySQL or seeking to develop practical data engineering skills
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Save MySQL-for-Data-Engineering to your list so you can find it easily later:
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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 MySQL-for-Data-Engineering with these
activities:
Review SQL syntax and concepts
Show steps
Strengthen foundation in SQL to facilitate MySQL learning.
Browse courses on
SQL Syntax
Show steps
-
Go through SQL tutorials or documentation.
-
Practice writing basic SQL queries.
-
Review concepts such as data types, constraints, and joins.
Follow tutorials on MySQL data manipulation
Show steps
Enhance understanding of MySQL functions and data manipulation techniques.
Browse courses on
Data Manipulation
Show steps
-
Identify tutorials that cover MySQL data manipulation.
-
Follow the tutorials step-by-step to learn how to use MySQL functions.
-
Try out the techniques in your own MySQL environment.
Execute MySQL queries from the command line
Show steps
Reinforce MySQL syntax and command usage.
Show steps
-
Open a command line interface and connect to your MySQL database.
-
Execute basic queries to retrieve data from tables.
-
Use more advanced queries to filter and sort data.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group to discuss MySQL concepts
Show steps
Engage in discussions to clarify concepts and reinforce understanding.
Show steps
-
Find a study group or create your own.
-
Discuss MySQL concepts, challenges, and solutions.
-
Work together to solve problems and answer questions.
Develop a Python script to interact with MySQL
Show steps
Apply knowledge of MySQL and Python to build practical applications.
Browse courses on
Data Integration
Show steps
-
Design the Python script to connect to the MySQL database.
-
Implement functions to execute queries and retrieve data.
-
Test the script using real-world scenarios.
Volunteer at a non-profit organization using MySQL
Show steps
Apply MySQL skills to make a real-world impact.
Show steps
-
Find non-profit organizations that use MySQL.
-
Offer your services to assist with data management tasks.
-
Utilize MySQL to support the organization's mission.
Contribute to open source MySQL projects
Show steps
Gain practical experience and contribute to the MySQL community.
Show steps
-
Identify open source MySQL projects.
-
Choose a project and understand its goals.
-
Contribute code, documentation, or other improvements.
Review SQL syntax and concepts
Show steps
Strengthen foundation in SQL to facilitate MySQL learning.
Browse courses on
SQL Syntax
Show steps
Show steps
Show steps
- Go through SQL tutorials or documentation.
- Practice writing basic SQL queries.
- Review concepts such as data types, constraints, and joins.
Follow tutorials on MySQL data manipulation
Show steps
Enhance understanding of MySQL functions and data manipulation techniques.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Identify tutorials that cover MySQL data manipulation.
- Follow the tutorials step-by-step to learn how to use MySQL functions.
- Try out the techniques in your own MySQL environment.
Execute MySQL queries from the command line
Show steps
Reinforce MySQL syntax and command usage.
Show steps
Show steps
Show steps
- Open a command line interface and connect to your MySQL database.
- Execute basic queries to retrieve data from tables.
- Use more advanced queries to filter and sort data.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group to discuss MySQL concepts
Show steps
Engage in discussions to clarify concepts and reinforce understanding.
Show steps
Show steps
Show steps
- Find a study group or create your own.
- Discuss MySQL concepts, challenges, and solutions.
- Work together to solve problems and answer questions.
Develop a Python script to interact with MySQL
Show steps
Apply knowledge of MySQL and Python to build practical applications.
Browse courses on
Data Integration
Show steps
Show steps
Show steps
- Design the Python script to connect to the MySQL database.
- Implement functions to execute queries and retrieve data.
- Test the script using real-world scenarios.
Volunteer at a non-profit organization using MySQL
Show steps
Apply MySQL skills to make a real-world impact.
Show steps
Show steps
Show steps
- Find non-profit organizations that use MySQL.
- Offer your services to assist with data management tasks.
- Utilize MySQL to support the organization's mission.
Contribute to open source MySQL projects
Show steps
Gain practical experience and contribute to the MySQL community.
Show steps
Show steps
Show steps
- Identify open source MySQL projects.
- Choose a project and understand its goals.
- Contribute code, documentation, or other improvements.
Career center
Learners who complete MySQL-for-Data-Engineering will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
You could be responsible for managing and maintaining databases, ensuring smooth operation of the database system, and protecting the integrity of the data within. The MySQL-for-Data-Engineering course may be of particular interest to help you develop your ability to import and modify external datasets and integrate MySQL with Python applications.
Database Developer
Database Developer
As a Database Developer, you will design, develop, and implement database systems that meet the specific needs of an organization. The MySQL-for-Data-Engineering course may be a valuable tool for enhancing your skillset since it covers topics such as interacting with MySQL databases from the command line interface and modifying external datasets.
Data Scientist
Data Scientist
Data Scientists are responsible for extracting meaningful insights from data using various techniques and technologies. MySQL-for-Data-Engineering can be a valuable resource for you as it provides hands-on practice with MySQL for data engineering tasks, which can complement your data science skillset.
Data Engineer
Data Engineer
In the role of a Data Engineer, you will typically design, construct, and maintain data management systems used by Data Scientists and Business Intelligence Analysts. This course, MySQL-for-Data-Engineering, may be useful for you as it helps build a practical knowledge base for working with relational databases in a data engineering context.
Data Architect
Data Architect
The Data Architect role involves designing, building, and maintaining the data architecture for an organization, ensuring that data is properly managed and utilized. You may find the MySQL-for-Data-Engineering course helpful in developing your understanding of essential MySQL skills needed for manipulating, processing, and working with relational databases.
Business Intelligence Analyst
Business Intelligence Analyst
As a Business Intelligence Analyst, you will analyze data to provide insights and recommendations to support decision-making. MySQL-for-Data-Engineering may be useful for you as it can help you develop the necessary skills to extract and work with data from MySQL databases.
Data Analyst
Data Analyst
Data Analysts clean, analyze, and interpret data to identify trends and patterns. The MySQL-for-Data-Engineering course may be useful for you as it provides hands-on practice with MySQL, a widely used database system for storing and managing data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. MySQL-for-Data-Engineering may be useful for you as it provides practical experience with MySQL, a widely used database system for storing and managing data used in machine learning applications.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of systems. MySQL-for-Data-Engineering may be useful for you as it can provide you with the necessary skills to work with MySQL databases, which are often used to store and manage data in operations research.
Statistician
Statistician
Statisticians gather, analyze, interpret, and present data to inform decision-making. MySQL-for-Data-Engineering may be a valuable tool for you as it can help you develop the necessary skills to work with MySQL databases, which are often used to store and manage statistical data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This MySQL-for-Data-Engineering course may be useful for you as it can help you build a foundation in working with MySQL databases, which are often used in software applications.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. MySQL-for-Data-Engineering may be useful for you as it can help you develop the skills needed to work with MySQL databases, which are often used in the insurance industry to store and manage data related to risk and uncertainty.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of disease in populations. MySQL-for-Data-Engineering may be useful for you as it can help you develop the necessary skills to work with MySQL databases, which are often used to store and manage epidemiological data.
Market Researcher
Market Researcher
Market Researchers gather and analyze data about markets and consumers to help businesses make informed decisions. MySQL-for-Data-Engineering may be a valuable resource for you as it can help you develop the necessary skills to work with MySQL databases, which are commonly used to store and manage market research data.
Financial Analyst
Financial Analyst
Financial Analysts use data to make informed decisions about investments and other financial matters. MySQL-for-Data-Engineering may be useful for you as it can help you develop the skills needed to work with MySQL databases, which are often used in the financial industry to store and manage financial data.
For more career information including salaries, visit:
OpenCourser.com/course/qn0m1e/mysql
Reading list
We've selected 11 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
MySQL-for-Data-Engineering.
Provides a comprehensive introduction to recommender systems with Python. It covers a wide range of topics, including collaborative filtering, content-based filtering, and hybrid recommender systems. This book valuable resource for anyone who wants to learn about recommender systems with Python.
Provides a comprehensive introduction to machine learning with Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning. This book valuable resource for anyone who wants to learn about machine learning with Python.
Provides a comprehensive introduction to computer vision with Python. It covers a wide range of topics, including image processing, object detection, and image segmentation. This book valuable resource for anyone who wants to learn about computer vision with Python.
Provides a comprehensive introduction to natural language processing with Python. It covers a wide range of topics, including text classification, text clustering, and text generation. This book valuable resource for anyone who wants to learn about natural language processing with Python.
Provides a comprehensive introduction to deep learning with Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. This book valuable resource for anyone who wants to learn about deep learning with Python.
Provides a comprehensive introduction to Python for data analysis. It covers a wide range of topics, including data structures, data manipulation, and data visualization. This book valuable resource for anyone who wants to use Python for data analysis.
This practical guide offers insights into optimizing MySQL performance, implementing backup strategies, configuring replication, and troubleshooting common issues, providing valuable knowledge for data engineers.
Save
This collection of recipes provides practical solutions to common MySQL problems, offering quick and efficient ways to handle data manipulation, performance tuning, and database administration tasks.
This introductory book provides a solid foundation in SQL concepts and syntax, making it a helpful resource for beginners or those who want to refresh their knowledge before delving into MySQL-specific topics.
Save
This beginner-friendly book introduces MySQL concepts and provides step-by-step instructions for performing various database operations, making it a good starting point for those new to MySQL.
Save
While this book focuses on SQL Server, it offers valuable insights into performance tuning concepts and techniques that can be applied to MySQL as well, making it a useful comparative resource for data engineers.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qn0m1e/mysql
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Duke University
Instructor
Noah Gift
Language
English
Good to know
Explores MySQL for data engineering, used extensively in industry
Provides hands-on practice with MySQL, offering practical experience
Covers integrating MySQL with Python applications, essential for modern data engineering
Tailored for those new to MySQL or seeking to develop practical data engineering skills
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