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David Dalsveen
and
Judy Richardson
In this project, you’ll perform exploratory data analysis for Mint Classics Company, a retailer of model cars. The company is looking to close one of its storage facilities. Your objective is to recommend inventory reduction strategies that won’t negatively impact customer service.
Read more
In this project, you’ll perform exploratory data analysis for Mint Classics Company, a retailer of model cars. The company is looking to close one of its storage facilities. Your objective is to recommend inventory reduction strategies that won’t negatively impact customer service.
Read more
In this project, you’ll perform exploratory data analysis for Mint Classics Company, a retailer of model cars. The company is looking to close one of its storage facilities. Your objective is to recommend inventory reduction strategies that won’t negatively impact customer service.
Using MySQL Workbench, you’ll familiarize yourself with the sample database, run SQL queries to identify factors affecting storage space and propose inventory reduction approaches. Upon completion, you’ll demonstrate your ability to perform exploratory data analysis and present the results in a format that supports your recommendations.
There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers.
ROLE: Data Analyst
SKILLS: SQL
PREREQUISITES:
Run a script and use the modeling tool to view a relational model in MySQL Workbench
Access data from related tables with SQL
Register for this course and see more details by visiting:
OpenCourser.com/course/7fihhb/analyze
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What's inside
Syllabus
Project
In this 8-10-hour project, you'll conduct entry-level data analysis at the fictional Mint Classics Company, helping to analyze data with the goal of supporting inventory-related business decisions that lead to the closure of a storage facility.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops entry-level skills in data analysis techniques and MySQL Workbench, making it suitable for beginners
Covers inventory management and data analysis, which are crucial skills for professionals in the supply chain and logistics industry
Provides hands-on experience with a sample database and MySQL Workbench, allowing learners to apply their knowledge in a practical setting
Taught by Judy Richardson and David Dalsveen, who have industry experience and expertise in data analysis
Requires familiarity with MySQL Workbench and SQL, which may be a barrier for learners without prior experience
Focuses on a specific industry scenario, which may limit its applicability to broader data analysis roles
Save this course
Save Analyze Data in a Model Car Database with MySQL Workbench 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 Analyze Data in a Model Car Database with MySQL Workbench with these
activities:
Review SQL Workbench fundamentals
Show steps
Familiarize yourself with running MySQL scripts and viewing relational models in MySQL Workbench before the course starts.
Show steps
-
Open MySQL Workbench
-
Create a new database
-
Import the sample database
SQL Tutorial for Beginners
Show steps
Complete this tutorial to gain the fundamental knowledge needed to perform data analysis with SQL.
Browse courses on
SQL
Show steps
-
Access the tutorial and watch the introductory video.
-
Complete the interactive exercises in the tutorial.
-
Create a practice database and run SQL queries on your own.
Follow tutorials on SQL basics
Show steps
Strengthen your understanding of SQL basics to prepare for the project.
Show steps
-
Find tutorials on SQL basics
-
Follow the tutorials
-
Practice writing SQL queries
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve SQL practice problems
Show steps
Gain proficiency in writing SQL queries by solving practice problems.
Browse courses on
SQL Queries
Show steps
-
Find SQL practice problems
-
Solve the problems
-
Check your answers
-
Review incorrect answers
Online Discussion Forum
Show steps
Engage with fellow students by participating in online discussions, sharing insights, and seeking feedback on your project.
Browse courses on
Data Analysis
Show steps
-
Access the course discussion forum.
-
Post questions and share your thoughts on the course material.
-
Respond to other students' posts and provide support.
SQL Practice Exercises
Show steps
Strengthen your SQL skills by completing these practice exercises, covering various data analysis scenarios.
Browse courses on
SQL
Show steps
-
Access the exercise platform and select the SQL section.
-
Solve the practice problems, starting with the easier ones.
-
Review the solutions and identify areas for improvement.
Start the data analysis project
Show steps
Begin working on the project as early as possible to get a head start.
Show steps
-
Read the project description
-
Gather the necessary resources
Create a SQL script to perform data analysis
Show steps
Develop a SQL script to analyze the data and identify factors affecting storage space.
Show steps
-
Write the SQL script
-
Test the script
-
Refine the script
Write a report summarizing the data analysis results
Show steps
Present the findings of your data analysis in a clear and concise report.
Show steps
-
Organize the data
-
Write the report
-
Review and edit the report
Inventory Analysis Report
Show steps
Demonstrate your understanding of data analysis by creating a comprehensive report on inventory optimization strategies for Mint Classics Company.
Browse courses on
Inventory Management
Show steps
-
Gather data from the provided MySQL database.
-
Conduct exploratory data analysis to identify trends and patterns.
-
Develop recommendations for inventory reduction without compromising customer service.
-
Create a professional report summarizing your findings and insights.
Review data analysis concepts
Show steps
Refresh your understanding of data analysis concepts to prepare for the project.
Browse courses on
Data Analysis
Show steps
-
Review notes and materials
-
Read articles and books
Compile and organize course materials
Show steps
Organize your notes, assignments, and quizzes to enhance your understanding.
Show steps
-
Gather all materials
-
Create a filing system
Review SQL Workbench fundamentals
Show steps
Familiarize yourself with running MySQL scripts and viewing relational models in MySQL Workbench before the course starts.
Show steps
Show steps
Show steps
- Open MySQL Workbench
- Create a new database
- Import the sample database
SQL Tutorial for Beginners
Show steps
Complete this tutorial to gain the fundamental knowledge needed to perform data analysis with SQL.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Access the tutorial and watch the introductory video.
- Complete the interactive exercises in the tutorial.
- Create a practice database and run SQL queries on your own.
Follow tutorials on SQL basics
Show steps
Strengthen your understanding of SQL basics to prepare for the project.
Show steps
Show steps
Show steps
- Find tutorials on SQL basics
- Follow the tutorials
- Practice writing SQL queries
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve SQL practice problems
Show steps
Gain proficiency in writing SQL queries by solving practice problems.
Browse courses on
SQL Queries
Show steps
Show steps
Show steps
- Find SQL practice problems
- Solve the problems
- Check your answers
- Review incorrect answers
Online Discussion Forum
Show steps
Engage with fellow students by participating in online discussions, sharing insights, and seeking feedback on your project.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Access the course discussion forum.
- Post questions and share your thoughts on the course material.
- Respond to other students' posts and provide support.
SQL Practice Exercises
Show steps
Strengthen your SQL skills by completing these practice exercises, covering various data analysis scenarios.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Access the exercise platform and select the SQL section.
- Solve the practice problems, starting with the easier ones.
- Review the solutions and identify areas for improvement.
Start the data analysis project
Show steps
Begin working on the project as early as possible to get a head start.
Show steps
Show steps
Show steps
- Read the project description
- Gather the necessary resources
Create a SQL script to perform data analysis
Show steps
Develop a SQL script to analyze the data and identify factors affecting storage space.
Show steps
Show steps
Show steps
- Write the SQL script
- Test the script
- Refine the script
Write a report summarizing the data analysis results
Show steps
Present the findings of your data analysis in a clear and concise report.
Show steps
Show steps
Show steps
- Organize the data
- Write the report
- Review and edit the report
Inventory Analysis Report
Show steps
Demonstrate your understanding of data analysis by creating a comprehensive report on inventory optimization strategies for Mint Classics Company.
Browse courses on
Inventory Management
Show steps
Show steps
Show steps
- Gather data from the provided MySQL database.
- Conduct exploratory data analysis to identify trends and patterns.
- Develop recommendations for inventory reduction without compromising customer service.
- Create a professional report summarizing your findings and insights.
Review data analysis concepts
Show steps
Refresh your understanding of data analysis concepts to prepare for the project.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review notes and materials
- Read articles and books
Compile and organize course materials
Show steps
Organize your notes, assignments, and quizzes to enhance your understanding.
Show steps
Show steps
Show steps
- Gather all materials
- Create a filing system
Career center
Learners who complete Analyze Data in a Model Car Database with MySQL Workbench will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst takes raw data and turns it into actionable insights that businesses can use. Using SQL Workbench will be very important in understanding relational databases and how to pull queries, which are foundational skills that a Data Analyst needs.
Business Analyst
Business Analyst
The Business Analyst role is responsible for understanding the business needs of an organization and translating those needs into technical requirements. This course will provide valuable skills in understanding data, running queries, and presenting insights based on data.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines that provide data to data analysts and other users. This course will give you a good foundation in the fundamentals of SQL, which is essential for success in this role.
Database Administrator
Database Administrator
Database Administrators are responsible for the day-to-day management and maintenance of databases. This course will provide you with the skills you need to understand database structure and how to perform common database operations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will provide you with the skills you need to understand data structures and algorithms, which are essential for success in this role.
Product Manager
Product Manager
Product Managers are responsible for defining, planning, and executing the development of products. This course will provide you with a good understanding of data analysis, which is essential for success in this role.
Marketing Analyst
Marketing Analyst
Marketing Analysts are responsible for understanding the marketing needs of an organization and developing and implementing marketing campaigns. This course will provide you with valuable skills in understanding data, running queries, and presenting insights based on data.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and providing insights to investors and other stakeholders. This course will provide you with a good foundation in data analysis, which is essential for success in this role.
Operations Analyst
Operations Analyst
Operations Analysts are responsible for analyzing operational data and providing insights to improve efficiency and productivity. This course will provide you with valuable skills in understanding data, running queries, and presenting insights based on data.
Sales Analyst
Sales Analyst
Sales Analysts are responsible for analyzing sales data and providing insights to improve sales performance. This course will provide you with valuable skills in understanding data, running queries, and presenting insights based on data.
Risk Analyst
Risk Analyst
Risk Analysts are responsible for identifying, assessing, and mitigating risks to an organization. This course will provide you with a good foundation in data analysis, which is essential for success in this role.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. This course will provide you with a good foundation in data analysis, which is essential for success in this role.
Data Scientist
Data Scientist
Data Scientists are responsible for using data to solve complex problems. This course will provide you with a good foundation in data analysis, which is essential for success in this role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. This course will provide you with a good foundation in data analysis, which is essential for success in this role.
Data Architect
Data Architect
Data Architects are responsible for designing and implementing data systems. This course will provide you with a good foundation in data analysis, which is essential for success in this role.
For more career information including salaries, visit:
OpenCourser.com/course/7fihhb/analyze
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
Analyze Data in a Model Car Database with MySQL Workbench.
The official MySQL documentation, providing a comprehensive reference for all aspects of MySQL, including syntax, functions, and configuration options.
A comprehensive textbook on database systems, covering theoretical concepts, design principles, and practical implementation techniques.
Provides advanced techniques for optimizing MySQL databases, including query optimization, index strategies, and configuration fine-tuning.
A guide to using MySQL for data analysis, covering topics such as data cleaning, aggregation, and visualization, supplemented with real-world examples.
Offers practical techniques for writing good SQL queries quickly and efficiently as well as handling advanced database management tasks.
Save
A cookbook-style guide with recipes for solving common MySQL database problems, ensuring database reliability, and improving performance.
While not specific to MySQL, provides a foundation in data warehousing concepts and techniques, which can be applied to MySQL-based data warehouses.
Save
A quick and easy introduction to SQL, ideal for beginners who need to learn the basics of SQL quickly and efficiently.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7fihhb/analyze
Share
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Effort
8-10 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructors
David Dalsveen
Judy Richardson
Language
English
Good to know
Develops entry-level skills in data analysis techniques and MySQL Workbench, making it suitable for beginners
Covers inventory management and data analysis, which are crucial skills for professionals in the supply chain and logistics industry
Provides hands-on experience with a sample database and MySQL Workbench, allowing learners to apply their knowledge in a practical setting
Taught by Judy Richardson and David Dalsveen, who have industry experience and expertise in data analysis
Requires familiarity with MySQL Workbench and SQL, which may be a barrier for learners without prior experience
Focuses on a specific industry scenario, which may limit its applicability to broader data analysis roles
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