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Rahul Rajaput
Have you ever imagined performing various operations on a database without writing a single query? Did you know that Python can be used to accomplish these task effortlessly?
By taking this Guided Project, you will be able to accomplish exactly this task!
“Database Operations in MariaDB using Python” is for any system or database administrator who wants to automate their daily tasks of performing routine operations on a database.
By the end of this 1-hour long Guided Project, you will have created scripts written in Python to perform various database operations in a MariaDB server.
Read more
Have you ever imagined performing various operations on a database without writing a single query? Did you know that Python can be used to accomplish these task effortlessly?
By taking this Guided Project, you will be able to accomplish exactly this task!
“Database Operations in MariaDB using Python” is for any system or database administrator who wants to automate their daily tasks of performing routine operations on a database.
By the end of this 1-hour long Guided Project, you will have created scripts written in Python to perform various database operations in a MariaDB server.
Read more
Have you ever imagined performing various operations on a database without writing a single query? Did you know that Python can be used to accomplish these task effortlessly?
By taking this Guided Project, you will be able to accomplish exactly this task!
“Database Operations in MariaDB using Python” is for any system or database administrator who wants to automate their daily tasks of performing routine operations on a database.
By the end of this 1-hour long Guided Project, you will have created scripts written in Python to perform various database operations in a MariaDB server.
Get ready to easily CREATE, READ, UPDATE and DELETE employee data from a table within a company’s server.
Brought to you by Infosys, a global leader in next-generation digital services and consulting, this project is created by a certified Technology Associate in Python Programming, and Technology Analyst at Infosys.
Let's get started!
Register for this course and see more details by visiting:
OpenCourser.com/course/k302d4/database
What's inside
Syllabus
Project Overview
This Guided Project is for any system or database administrator who wants to automate daily routine tasks on a database to carry various operations. By the end of this project, you will be able to create scripts in Python to perform various database operations like CREATE, READ, UPDATE and DELETE in a MariaDB server.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches students how to automate database tasks using Python, enhancing efficiency and productivity
Well-organized and engaging, enabling learners to easily follow and comprehend the concepts
Covers essential operations such as CREATE, READ, UPDATE, and DELETE, providing a solid foundation in database management
Suitable for system and database administrators seeking to improve their skills and automate routine tasks
Utilizes Python, a widely used and industry-standard language for database operations
May require some prior knowledge of Python and database concepts for optimal understanding
Save this course
Save Database Operations in MariaDB Using Python From Infosys 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 Database Operations in MariaDB Using Python From Infosys with these
activities:
Connect with professionals in the data science field
Show steps
Provides opportunities to learn from experienced professionals and expand your network.
Show steps
-
Attend industry events, conferences, or meetups
-
Introduce yourself to professionals and share your interests
-
Follow up with connections and seek advice or collaborate on projects
Review 'Python for Data Analysis' by Wes McKinney
Show steps
Provides a comprehensive understanding of data analysis techniques using Python.
View
Python for Data Analysis
on Amazon
Show steps
-
Read chapters related to data manipulation, cleaning, and visualization
-
Work through examples and exercises to gain hands-on experience
-
Apply the knowledge to your own Python projects
Follow tutorials on Python database connectivity and operations
Show steps
Provides practical examples and step-by-step guidance on using Python for database operations.
Browse courses on
Python
Show steps
-
Search for well-rated tutorials on Python database connectivity and operations using resources like Coursera, Udemy, or YouTube
-
Follow the tutorials to set up Python environment, connect to MariaDB, and execute queries
-
Experiment with different Python libraries for database access, such as PyMySQL or SQLAlchemy
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice writing SQL queries for database operations
Show steps
Helps in solidifying the understanding of SQL syntax and database operations.
Browse courses on
SQL
Show steps
-
Create a sample database and table in MariaDB
-
Write queries to perform basic operations (CREATE, READ, UPDATE, DELETE)
-
Perform more complex operations using JOIN, GROUP BY, and HAVING clauses
Build a simple Python project that involves database operations
Show steps
Allows for practical application of skills and reinforces concepts learned in the course.
Browse courses on
Database Operations
Show steps
-
Design a simple project idea that involves CRUD operations on a database
-
Set up a development environment and install necessary libraries
-
Implement Python scripts to connect to MariaDB, execute queries, and process data
-
Test and debug the project to ensure it meets the requirements
Attend a workshop on 'Advanced Database Operations in Python'
Show steps
Offers in-depth insights and hands-on practice with advanced Python database techniques.
Browse courses on
Database Operations
Show steps
-
Search for and register for a relevant workshop
-
Attend the workshop and actively participate in discussions and exercises
-
Network with other participants and industry experts
Write a blog post or article on 'Best Practices for Python Database Operations'
Show steps
Reinforces understanding through content creation and sharing.
Browse courses on
Python
Show steps
-
Research and gather information on best practices for Python database operations
-
Organize your thoughts and outline the key points
-
Write a well-structured blog post or article
-
Publish and promote your content
Contribute to open-source projects related to database operations
Show steps
Encourages collaboration, problem-solving, and exposure to real-world applications.
Browse courses on
Database Operations
Show steps
-
Identify open-source projects related to database operations
-
Explore the codebase and find areas where you can contribute
-
Create a pull request with your proposed changes
-
Actively engage in code reviews and discussions
Connect with professionals in the data science field
Show steps
Provides opportunities to learn from experienced professionals and expand your network.
Show steps
Show steps
Show steps
- Attend industry events, conferences, or meetups
- Introduce yourself to professionals and share your interests
- Follow up with connections and seek advice or collaborate on projects
Review 'Python for Data Analysis' by Wes McKinney
Show steps
Provides a comprehensive understanding of data analysis techniques using Python.
View
Python for Data Analysis
on Amazon
Show steps
Show steps
Show steps
- Read chapters related to data manipulation, cleaning, and visualization
- Work through examples and exercises to gain hands-on experience
- Apply the knowledge to your own Python projects
Follow tutorials on Python database connectivity and operations
Show steps
Provides practical examples and step-by-step guidance on using Python for database operations.
Browse courses on
Python
Show steps
Show steps
Show steps
- Search for well-rated tutorials on Python database connectivity and operations using resources like Coursera, Udemy, or YouTube
- Follow the tutorials to set up Python environment, connect to MariaDB, and execute queries
- Experiment with different Python libraries for database access, such as PyMySQL or SQLAlchemy
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice writing SQL queries for database operations
Show steps
Helps in solidifying the understanding of SQL syntax and database operations.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Create a sample database and table in MariaDB
- Write queries to perform basic operations (CREATE, READ, UPDATE, DELETE)
- Perform more complex operations using JOIN, GROUP BY, and HAVING clauses
Build a simple Python project that involves database operations
Show steps
Allows for practical application of skills and reinforces concepts learned in the course.
Browse courses on
Database Operations
Show steps
Show steps
Show steps
- Design a simple project idea that involves CRUD operations on a database
- Set up a development environment and install necessary libraries
- Implement Python scripts to connect to MariaDB, execute queries, and process data
- Test and debug the project to ensure it meets the requirements
Attend a workshop on 'Advanced Database Operations in Python'
Show steps
Offers in-depth insights and hands-on practice with advanced Python database techniques.
Browse courses on
Database Operations
Show steps
Show steps
Show steps
- Search for and register for a relevant workshop
- Attend the workshop and actively participate in discussions and exercises
- Network with other participants and industry experts
Write a blog post or article on 'Best Practices for Python Database Operations'
Show steps
Reinforces understanding through content creation and sharing.
Browse courses on
Python
Show steps
Show steps
Show steps
- Research and gather information on best practices for Python database operations
- Organize your thoughts and outline the key points
- Write a well-structured blog post or article
- Publish and promote your content
Contribute to open-source projects related to database operations
Show steps
Encourages collaboration, problem-solving, and exposure to real-world applications.
Browse courses on
Database Operations
Show steps
Show steps
Show steps
- Identify open-source projects related to database operations
- Explore the codebase and find areas where you can contribute
- Create a pull request with your proposed changes
- Actively engage in code reviews and discussions
Career center
Learners who complete Database Operations in MariaDB Using Python From Infosys will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
A Database Administrator designs and implements plans to store, manage and back up an organization’s data. They are responsible for creating and maintaining databases, as well as ensuring the security and integrity of data. This course will help Database Administrators automate their daily tasks, allowing them to focus on higher-level activities.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing an organization’s data architecture. They work closely with business stakeholders to understand their data needs and develop solutions to meet those needs. This course will help Data Architects build a strong foundation in Python, which is a valuable skill for data architects.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help organizations make better decisions. They use a variety of tools and techniques to extract insights from data. This course will help Data Analysts learn how to use Python to automate their tasks, which can free up time for more complex analysis.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work closely with other engineers and stakeholders to deliver high-quality software products. This course will help Software Engineers learn how to use Python to automate their tasks, which can improve their productivity.
System Administrator
System Administrator
A System Administrator is responsible for managing and maintaining an organization’s computer systems. They ensure that systems are running smoothly and securely, and they provide support to users. This course will help System Administrators learn how to use Python to automate their tasks, which can free up time for more complex tasks.
Network Administrator
Network Administrator
A Network Administrator is responsible for managing and maintaining an organization’s computer networks. They ensure that networks are running smoothly and securely, and they provide support to users. This course will help Network Administrators learn how to use Python to automate their tasks, which can free up time for more complex tasks.
Database Developer
Database Developer
A Database Developer designs and develops databases for organizations. They work closely with other developers and stakeholders to deliver high-quality database products. This course will help Database Developers learn how to use Python to automate their tasks, which can improve their productivity.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They collect, analyze, and interpret data to help organizations make better decisions. This course will help Data Scientists learn how to use Python to automate their tasks, which can free up time for more complex analysis.
Business Analyst
Business Analyst
A Business Analyst helps organizations improve their business processes. They work closely with stakeholders to understand their needs and develop solutions to meet those needs. This course will help Business Analysts learn how to use Python to automate their tasks, which can free up time for more complex analysis.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. They work closely with stakeholders to ensure that projects are delivered on time, within budget, and to the required quality. This course will help Project Managers learn how to use Python to automate their tasks, which can free up time for more complex tasks.
Technical Writer
Technical Writer
A Technical Writer creates and maintains documentation for software and hardware products. They work closely with engineers and other stakeholders to gather information and develop documentation that is clear and easy to understand. This course will help Technical Writers learn how to use Python to automate their tasks, which can improve their productivity.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests software and hardware products to ensure that they meet the required quality standards. They work closely with engineers and other stakeholders to identify and fix defects. This course will help Quality Assurance Analysts learn how to use Python to automate their tasks, which can improve their productivity.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects an organization’s computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They work closely with other security professionals to develop and implement security measures. This course will help Information Security Analysts learn how to use Python to automate their tasks, which can free up time for more complex tasks.
Computer Support Specialist
Computer Support Specialist
A Computer Support Specialist provides technical support to users of computer systems and networks. They help users troubleshoot problems, install software, and maintain hardware. This course will help Computer Support Specialists learn how to use Python to automate their tasks, which can improve their productivity.
Help Desk Technician
Help Desk Technician
A Help Desk Technician provides technical support to users of computer systems and networks. They help users troubleshoot problems, install software, and maintain hardware. This course will help Help Desk Technicians learn how to use Python to automate their tasks, which can improve their productivity.
For more career information including salaries, visit:
OpenCourser.com/course/k302d4/database
Reading list
We've selected 13 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
Database Operations in MariaDB Using Python From Infosys.
Save
This reference book provides a comprehensive overview of the Python programming language. It covers all the core concepts of the language, including data types, control flow, functions, and modules.
This popular book on Python. It great read for beginners and experienced programmers alike. The fifth edition will help you learn the latest features of Python.
Save
Is written for programmers who want to improve their Python programming skills. It teaches advanced concepts such as metaprogramming, decorators, and generators.
Widely-used book for data analysis using Python. It teaches the fundamentos of data analysis using Python.
This is one of the most widely-read books on Python. This title general-purpose Python book. It good read for beginners and experienced programmers who may be new to Python.
Is good for programmers who want to learn deep learning. It teaches the fundamentals of deep learning.
Good reference book on natural language processing. It teaches the fundamentals of natural language processing.
Save
Good read for programmers who want to learn algorithms and data structures. It teaches the fundamentals of algorithms and data structures.
Is an easy way to learn Python programming. This book teaches Python through a series of hands-on projects. The projects cover topics such as variables, functions, classes, and object-oriented programming.
Provides a practical introduction to using Python for data analysis. It covers all the essential concepts of data analysis, including data exploration, data cleaning, and data visualization.
Good starting point for new Python programmers. It teaches many of the basic concepts and Python syntax.
Provides a comprehensive guide to optimizing MySQL performance. It covers all the major aspects of MySQL performance, including hardware, software, and configuration.
Save
Provides a comprehensive overview of the internal workings of databases. It covers all the major topics of database internals, including storage engines, query processing, and transaction management.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/k302d4/database
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Effort
1 hour
Level
Advanced
Via
Coursera
Institution
Coursera Project Network
Instructor
Rahul Rajaput
Language
English
Good to know
Teaches students how to automate database tasks using Python, enhancing efficiency and productivity
Well-organized and engaging, enabling learners to easily follow and comprehend the concepts
Covers essential operations such as CREATE, READ, UPDATE, and DELETE, providing a solid foundation in database management
Suitable for system and database administrators seeking to improve their skills and automate routine tasks
Utilizes Python, a widely used and industry-standard language for database operations
May require some prior knowledge of Python and database concepts for optimal understanding
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