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Judy Richardson
By the end of this project you will have used the Query Design window in LibreOffice Base to construct and run queries that retrieve, sort, filter, and perform calculations on data from a multi-table relational Client database. Results returned from a query...
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By the end of this project you will have used the Query Design window in LibreOffice Base to construct and run queries that retrieve, sort, filter, and perform calculations on data from a multi-table relational Client database. Results returned from a query can be used to analyze client data to support business decisions. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops data analysis skills for making business decisions
Teaches essential SQL concepts for data retrieval, manipulation, and analysis
Provides hands-on practice with LibreOffice Base, a widely used database management system
Suitable for beginners with limited database knowledge
Course content is tailored for learners interested in data analysis and management
Instructor Judy Richardson has extensive experience in the field of database management

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Reviews summary

Skill-building sql

This project-based course is a good foundational course for students in North America who are new to SQL. Reviewers liked the straightforward nature of the course and found it delivered applicable skills. Note that reviewers found the course was most applicable for people in the North American region. Students should seek an alternative if they are not in this region.
Meets educational objectives.
"This project was delivered to all levels. "

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 Query Client Data with LibreOffice Base with these activities:
Review Introduction to Relational Database Systems
Reviewing this book can provide a solid foundation for understanding relational database systems, which is essential for success in this course.
Show steps
  • Read the first three chapters of the book.
  • Make notes on the key concepts covered in each chapter.
  • Complete the practice exercises at the end of each chapter.
Mentor a newer student in the course
Mentoring a newer student will provide you an opportunity to review the course material and reinforce your own understanding.
Show steps
  • Volunteer to mentor a newer student.
  • Meet with your mentee regularly to discuss the course material.
  • Answer your mentee's questions and provide guidance.
Create a simple database using LibreOffice Base
Creating a database from scratch will reinforce the concepts of table design, data types, and relationships.
Browse courses on Database Creation
Show steps
  • Watch a tutorial on how to create a database in LibreOffice Base.
  • Create a new database and add a few tables.
  • Define the data types and relationships for each table.
  • Import some data into the database.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice writing SQL queries
Writing SQL queries is a fundamental skill for working with databases. These exercises will help you practice and improve your skills.
Browse courses on SQL Queries
Show steps
  • Find a set of SQL practice exercises online or in a textbook.
  • Attempt to solve the exercises on your own.
  • Review your answers and identify any mistakes.
  • Repeat the process until you are confident in your ability to write SQL queries.
Develop a data visualization dashboard
Creating a data visualization dashboard will allow you to showcase your skills in data analysis and presentation.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to work with.
  • Clean and prepare the data.
  • Choose the appropriate visualization techniques.
  • Create the dashboard using a data visualization tool.
  • Present your dashboard to the class.
Contribute to an open-source database project
Contributing to an open-source database project is a great way to give back to the community and gain experience in working on large-scale projects.
Browse courses on Open Source
Show steps
  • Find an open-source database project that interests you.
  • Read the project documentation.
  • Identify an area where you can contribute.
  • Submit a pull request to the project.
  • Continue to contribute to the project as needed.

Career center

Learners who complete Query Client Data with LibreOffice Base will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to extract meaningful insights and trends. They help businesses make informed decisions based on data-driven analysis. By learning how to query and analyze data using LibreOffice Base, you can build a solid foundation for a career as a Data Analyst. This course provides hands-on experience in constructing queries that retrieve, sort, filter, and perform calculations on data, which are essential skills for Data Analysts.
Database Administrator
A Database Administrator (DBA) is responsible for managing and maintaining databases, ensuring their availability, performance, and security. This course can help you develop the skills needed to manage data effectively. By learning to create and execute queries, you will gain a deeper understanding of database structure and functionality, which is essential for a successful career as a DBA.
Business Analyst
A Business Analyst (BA) analyzes business needs and translates them into technical requirements. They bridge the gap between business stakeholders and IT professionals. This course can help you develop the analytical and problem-solving skills needed to succeed as a BA. By learning to query and analyze data, you can gain a deeper understanding of business processes and how data can be used to improve them.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course can help you build a foundation for a career as a Data Scientist. By learning to query and analyze data, you will gain experience in handling and manipulating data, which is essential for Data Scientists.
Information Systems Manager
An Information Systems Manager oversees the planning, implementation, and management of information systems within an organization. This course can help you develop the skills needed to manage information systems effectively. By learning to query and analyze data, you will gain a deeper understanding of data management principles and practices, which are essential for success in this role.
Database Designer
A Database Designer designs and implements databases. This course can help you develop the skills needed to design and implement databases effectively. By learning to query and analyze data, you will gain a deeper understanding of database concepts and principles, which are essential for success in this role.
Data Architect
A Data Architect designs, builds, and maintains the architecture of data systems. This course can help you develop the skills needed to design and manage data systems effectively. By learning to query and analyze data, you will gain a deeper understanding of data structures and relationships, which are essential for success in this role.
Information Technology Project Manager
An Information Technology Project Manager plans, executes, and manages IT projects to ensure their successful completion. This course can help you develop the skills needed to manage IT projects effectively. By learning to query and analyze data, you will gain experience in gathering and interpreting data, which is essential for making informed decisions and managing projects successfully.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. This course can help you develop the skills needed to design and manage data pipelines effectively. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which is essential for success in this role.
Business Intelligence Analyst
A Business Intelligence Analyst gathers, analyzes, and interprets data to help businesses make informed decisions. This course can help you develop the skills needed to analyze data effectively. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which is essential for success in this role.
Software Developer
A Software Developer designs, develops, and maintains software applications. This course can help you develop the skills needed to develop software applications effectively. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which is essential for success in this role.
Market Researcher
A Market Researcher gathers and analyzes data to understand market trends and consumer behavior. This course may be useful in developing the skills needed to analyze market data. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which may be helpful in this role.
Statistician
A Statistician collects, analyzes, and interprets data to provide insights and make predictions. This course may be useful in developing the skills needed to analyze data and draw conclusions. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which may be helpful in this role.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. This course may be useful in developing the skills needed to analyze data and solve problems. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which may be helpful in this role.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations and provide financial advice. This course may be useful in developing the skills needed to analyze financial data. By learning to query and analyze data, you will gain experience in working with data and understanding its structure, which may be helpful in this role.

Reading list

We've selected ten 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 Query Client Data with LibreOffice Base.
The book provides a clear and concise introduction to SQL. It covers the basics of SQL, including data types, operators, and clauses. It also covers more advanced topics, such as joins, subqueries, and stored procedures. It great resource for anyone who wants to learn SQL.
The book comprehensive textbook on database systems. It covers all aspects of database systems, including data models, database design, query processing, and transaction management. It valuable resource for students and professionals who want to learn more about database systems.
The book comprehensive textbook on data mining. It covers all aspects of data mining, including data preprocessing, data mining algorithms, and data mining applications. It valuable resource for students and professionals who want to learn more about data mining.
The book comprehensive textbook on deep learning. It covers all aspects of deep learning, including neural networks, deep learning architectures, and deep learning applications. It valuable resource for students and professionals who want to learn more about deep learning.
The book comprehensive textbook on reinforcement learning. It covers all aspects of reinforcement learning, including Markov decision processes, value functions, and reinforcement learning algorithms. It valuable resource for students and professionals who want to learn more about reinforcement learning.
The book comprehensive textbook on natural language processing. It covers all aspects of natural language processing, including natural language understanding, natural language generation, and natural language processing applications. It valuable resource for students and professionals who want to learn more about natural language processing.
The book comprehensive textbook on generative adversarial networks. It covers all aspects of generative adversarial networks, including GAN architectures, GAN training, and GAN applications. It valuable resource for students and professionals who want to learn more about generative adversarial networks.
The book gentle introduction to causal inference. It covers the basics of causal inference, including causal graphs, causal effects, and causal inference methods. It great resource for beginners who want to learn more about causal inference.
The book gentle introduction to Bayesian statistics. It covers the basics of Bayesian statistics, including Bayesian probability, Bayesian inference, and Bayesian modeling. It great resource for beginners who want to learn more about Bayesian statistics.
The book comprehensive textbook on operations research. It covers all aspects of operations research, including linear programming, integer programming, and network optimization. It valuable resource for students and professionals who want to learn more about operations research.

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