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Don Noxon
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.
Read more
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.
Read more
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.
Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this specialization. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Along the way, you will receive feedback through the peer-review process. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management.
Register for this course and see more details by visiting:
OpenCourser.com/course/acusp0/sql
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Syllabus
Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation
In this first milestone, you will select your client and import your dataset. You will begin to explore your data to understand it and make assumptions about your data. You will draft a project proposal to act as a guide as you explore your data and prove or disprove your hypotheses.
Read more
Syllabus
Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation
In this first milestone, you will select your client and import your dataset. You will begin to explore your data to understand it and make assumptions about your data. You will draft a project proposal to act as a guide as you explore your data and prove or disprove your hypotheses.
Read more
Milestone 2: Descriptive Stats & Understanding Your Data
In this milestone, you will start to execute your project proposal. You will start looking at your data and perform initial statistic models to explore your data and determine what you have available to you.
Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)
In this milestone, you will go beyond the descriptive statistics you completed in the last milestone. This milestone is really about diving deeper to analyze your data, beyond descriptive stats. Maybe you need to analyze qualitative data or textual data to get a full picture.
Milestone 4: Presenting Your Findings (Storytelling)
In this milestone, you will present your findings. You will identify your audience and create a presentation tailored to them. You will be able to tell the story of analyses and make recommendations.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes proficiency in SQL and data analysis to help learners succeed in the data science field
Provides a practical approach to learning SQL by utilizing real-world business problems
Structured into clear milestones, offering a guided and progressive learning journey for learners
Incorporates peer review and feedback to enhance learning and improve outcomes
Empowers learners to demonstrate their SQL skills and problem-solving abilities through a portfolio-worthy project
Facilitates storytelling and presentation skills, preparing learners to communicate their findings effectively
Save this course
Save SQL for Data Science Capstone Project to your list so you can find it easily later:
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Reviews summary
Sql skills practice project
Learners say this course is a solid opportunity to practice SQL skills. It applies SQL to solve a business problem and provides clear instructions for each milestone. While not a core part of the course, learners found it helpful to expand their knowledge to other related areas, such as Python, Jupyter, and Tableau.
Includes clear guidance for completing milestones.
"Instructions for completing each milestone were just perfect and they guided me perfectly to complete the project."
Encourages learners to explore related areas in data science.
"The content teaches you much more than only SQL and open your eyes for a whole new world of opportunities to study."
Helps develop SQL skills by applying to a business task.
"This course (SQL for Data Science Capstone Project) helped me practice my SQL skills and apply them to solve a business task."
The quality of peer review can be limited, especially for courses with low enrollment.
"limited people are enrolled in course, it takes weeks for peer review."
"I do not benefit from unqualified feedback from people who are no more capable or even less capable than I am."
"Also the reviews often where simply wrong."
Some learners found the assignments and final project to be unclear and open-ended.
"The second course shows an interesting use of SQL, which is not normally covered. But the structure, assessments, assignments and final project are very open and ambiguous."
"The explanations are superfluous and you can tell that the course was made in a hurry, with no attention to details and with deficiencies in teaching."
"Additionally, the exercises did not point out all the nessecairy aspect to fulfill to get the full score clearly in all cases: When they say "use 1 or 2 new metric" they actually mean: "Set up 2 metrics to get the full score", which is odd, because one might instead focus on other aspect on the analysis, when following the first formulation."
The course has inconsistent expectations and difficulty levels across modules.
"This course is very good. The content teaches you much more than only SQL and open your eyes for a whole new world of opportunities to study."
"The second module was very challenging."
"This course is largely down to you to get the project done to the highest standard you can muster..."
Some learners experienced technical issues and difficulties with peer review.
"You see something interesting in the videos, but its codes are not provided and there is no explanation of how you can reproduce what you see in the videos..."
"I really don't understand why this course is added to this specialization."
"the course is just an assignment, without much guidance and student is supposed to capitalize on whatever they have learned in previous courses."
Some lessons require knowledge of Python which is not taught in the course.
"the course is just an assignment, without much guidance and student is supposed to capitalize on whatever they have learned in previous courses."
"the requirement to use Python is frustrating, it would have been better if the course would have remained focus on SQL."
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 SQL for Data Science Capstone Project with these
activities:
Review Statistics concepts
Show steps
Refresh your knowledge of statistical concepts to enhance your data analysis capabilities.
Browse courses on
Statistics
Show steps
-
Review your notes or textbooks from previous statistics courses.
-
Focus on concepts such as mean, median, mode, and standard deviation.
-
Practice calculating these statistics on sample datasets.
Watch SQL tutorials
Show steps
Watching SQL tutorials will help you learn the basics of SQL and prepare you for the course.
Browse courses on
SQL
Show steps
-
Find a set of SQL tutorials
-
Watch the tutorials
-
Practice the concepts you learn
Compile SQL resources
Show steps
Gather and organize helpful SQL resources for future reference.
Browse courses on
SQL
Show steps
-
Create a document or spreadsheet to store your resources.
-
Include links to SQL tutorials, documentation, and online forums.
-
Add notes or summaries to each resource for quick reference.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a study group
Show steps
Joining a study group will help you connect with other students who are taking the course and learn from each other.
Browse courses on
SQL
Show steps
-
Find a study group
-
Attend study group meetings
-
Participate in discussions
Solve SQL practice problems
Show steps
Solving SQL practice problems will help you develop your SQL skills and prepare you for the challenges you'll face in the course.
Browse courses on
SQL
Show steps
-
Find a set of SQL practice problems
-
Work through the problems one at a time
-
Check your answers
Follow SQL tutorials
Show steps
Supplement your learning by following guided tutorials on SQL querying.
Browse courses on
SQL
Show steps
-
Find online SQL tutorials or use the ones recommended in the course.
-
Follow the tutorials step-by-step and complete the exercises.
-
Take notes on the concepts and techniques covered in the tutorials.
-
Apply what you've learned to solve problems on your own.
Solve SQL practice problems
Show steps
Reinforce your understanding of SQL querying concepts by solving practice problems.
Browse courses on
SQL
Show steps
-
Find online SQL practice problems or use the ones provided in the course.
-
Attempt to solve the problems on your own.
-
Review the solutions and identify any errors or areas for improvement.
-
Repeat the process until you can consistently solve the problems correctly.
Participate in peer study sessions
Show steps
Collaborate with fellow learners to discuss course concepts and solve problems together.
Show steps
-
Find a study buddy or group.
-
Meet regularly to discuss the course material.
-
Work together to solve problems and assignments.
-
Share your knowledge and insights with each other.
Develop a data analysis project
Show steps
Apply your SQL skills to a real-world data analysis project to solidify your understanding.
Browse courses on
Data Analysis
Show steps
-
Identify a dataset and a research question.
-
Write SQL queries to explore the data and extract insights.
-
Analyze the results and draw conclusions.
-
Create a presentation or report to showcase your findings.
Attend an SQL workshop
Show steps
Enhance your SQL skills and knowledge through hands-on practice in a workshop setting.
Browse courses on
SQL
Show steps
-
Research and find an SQL workshop that aligns with your learning goals.
-
Register for the workshop and prepare by reviewing the topics covered.
-
Attend the workshop and actively participate in the exercises and discussions.
-
Follow up by practicing what you learned in the workshop.
Create a data visualization
Show steps
Creating a data visualization will help you practice your SQL skills and learn how to communicate data insights effectively.
Browse courses on
SQL
Show steps
-
Gather your data
-
Clean and prepare your data
-
Choose a visualization type
-
Create your visualization
-
Present your visualization
Review Statistics concepts
Show steps
Refresh your knowledge of statistical concepts to enhance your data analysis capabilities.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes or textbooks from previous statistics courses.
- Focus on concepts such as mean, median, mode, and standard deviation.
- Practice calculating these statistics on sample datasets.
Watch SQL tutorials
Show steps
Watching SQL tutorials will help you learn the basics of SQL and prepare you for the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find a set of SQL tutorials
- Watch the tutorials
- Practice the concepts you learn
Compile SQL resources
Show steps
Gather and organize helpful SQL resources for future reference.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Create a document or spreadsheet to store your resources.
- Include links to SQL tutorials, documentation, and online forums.
- Add notes or summaries to each resource for quick reference.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Join a study group
Show steps
Joining a study group will help you connect with other students who are taking the course and learn from each other.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find a study group
- Attend study group meetings
- Participate in discussions
Solve SQL practice problems
Show steps
Solving SQL practice problems will help you develop your SQL skills and prepare you for the challenges you'll face in the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find a set of SQL practice problems
- Work through the problems one at a time
- Check your answers
Follow SQL tutorials
Show steps
Supplement your learning by following guided tutorials on SQL querying.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online SQL tutorials or use the ones recommended in the course.
- Follow the tutorials step-by-step and complete the exercises.
- Take notes on the concepts and techniques covered in the tutorials.
- Apply what you've learned to solve problems on your own.
Solve SQL practice problems
Show steps
Reinforce your understanding of SQL querying concepts by solving practice problems.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online SQL practice problems or use the ones provided in the course.
- Attempt to solve the problems on your own.
- Review the solutions and identify any errors or areas for improvement.
- Repeat the process until you can consistently solve the problems correctly.
Participate in peer study sessions
Show steps
Collaborate with fellow learners to discuss course concepts and solve problems together.
Show steps
Show steps
Show steps
- Find a study buddy or group.
- Meet regularly to discuss the course material.
- Work together to solve problems and assignments.
- Share your knowledge and insights with each other.
Develop a data analysis project
Show steps
Apply your SQL skills to a real-world data analysis project to solidify your understanding.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a dataset and a research question.
- Write SQL queries to explore the data and extract insights.
- Analyze the results and draw conclusions.
- Create a presentation or report to showcase your findings.
Attend an SQL workshop
Show steps
Enhance your SQL skills and knowledge through hands-on practice in a workshop setting.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Research and find an SQL workshop that aligns with your learning goals.
- Register for the workshop and prepare by reviewing the topics covered.
- Attend the workshop and actively participate in the exercises and discussions.
- Follow up by practicing what you learned in the workshop.
Create a data visualization
Show steps
Creating a data visualization will help you practice your SQL skills and learn how to communicate data insights effectively.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Gather your data
- Clean and prepare your data
- Choose a visualization type
- Create your visualization
- Present your visualization
Career center
Learners who complete SQL for Data Science Capstone Project will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses statistical and machine learning techniques to extract insights from data. This course helps build a foundation in SQL, which is essential for Data Scientists. By learning SQL, you will be able to access and manipulate data efficiently, which is crucial for building and deploying machine learning models.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help organizations make informed decisions. This course helps build a foundation in SQL, a critical skill for Data Analysts. By learning SQL, you will be able to extract insights from data and communicate them effectively to stakeholders.
Database Administrator
Database Administrator
A Database Administrator designs, implements, and maintains databases. This course helps build a foundation in SQL, which is essential for Database Administrators. By learning SQL, you will be able to create and manage databases, as well as optimize their performance.
Business Analyst
Business Analyst
A Business Analyst uses data to identify and solve business problems. This course helps build a foundation in SQL, which is a valuable skill for Business Analysts. By learning SQL, you will be able to extract insights from data and communicate them to stakeholders in a clear and concise manner.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to solve real-world problems. This course helps build a foundation in SQL, which is a valuable skill for Statisticians. By learning SQL, you will be able to access and manipulate data efficiently, which is crucial for statistical analysis.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. This course helps build a foundation in SQL, which is a valuable skill for Data Engineers. By learning SQL, you will be able to extract, transform, and load data into data warehouses and other data platforms.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models. This course helps build a foundation in SQL, which is a valuable skill for Machine Learning Engineers. By learning SQL, you will be able to access and manipulate data, which is crucial for developing and deploying machine learning models.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. This course helps build a foundation in SQL, which is a valuable skill for Operations Research Analysts. By learning SQL, you will be able to access and manipulate data, which is crucial for developing and implementing operational solutions.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course helps build a foundation in SQL, which is a valuable skill for Quantitative Analysts. By learning SQL, you will be able to access and manipulate financial data, which is crucial for developing and implementing quantitative models.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to assess and make investment decisions. This course helps build a foundation in SQL, which is a valuable skill for Financial Analysts. By learning SQL, you will be able to access and manipulate financial data, which is crucial for making informed investment decisions.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to understand customer behavior and develop marketing campaigns. This course helps build a foundation in SQL, which is a valuable skill for Marketing Analysts. By learning SQL, you will be able to access and manipulate customer data, which is crucial for developing effective marketing campaigns.
Risk Analyst
Risk Analyst
A Risk Analyst uses data to identify and assess risks. This course helps build a foundation in SQL, which is a valuable skill for Risk Analysts. By learning SQL, you will be able to access and manipulate data, which is crucial for developing and implementing risk management strategies.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who want to learn SQL to enhance their data management skills. By learning SQL, you will be able to integrate data into software applications and develop data-driven solutions.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. This course may be useful for Web Developers who want to learn SQL to enhance their data management skills. By learning SQL, you will be able to integrate data into web applications and develop data-driven websites.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs, develops, and maintains artificial intelligence systems. This course may be useful for Artificial Intelligence Engineers who want to learn SQL to enhance their data management skills. By learning SQL, you will be able to access and manipulate data, which is crucial for developing and deploying artificial intelligence systems.
For more career information including salaries, visit:
OpenCourser.com/course/acusp0/sql
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
SQL for Data Science Capstone Project.
Provides a practical introduction to SQL, with a focus on using it for data analysis tasks. It covers topics such as data querying, data manipulation, and data aggregation.
Save
Provides a handy reference guide to SQL syntax and statements. It great resource for quick lookups and reminders.
Provides practical advice on how to become a better programmer. It covers topics such as software design, coding practices, and debugging techniques.
Save
Provides practical advice on how to write clean and maintainable code. It covers topics such as coding standards, code formatting, and refactoring techniques.
Provides a detailed overview of domain-driven design, a software development approach that focuses on modeling the business domain in a way that is both effective and maintainable.
Save
Provides a comprehensive overview of design patterns, a collection of proven solutions to common software design problems. It great resource for software developers who want to learn more about design patterns and how to use them effectively.
Provides practical advice on how to refactor existing code to make it more clean, maintainable, and flexible. It covers topics such as code smells, refactoring techniques, and test-driven development.
Provides a practical introduction to test-driven development, a software development approach that focuses on writing tests before writing code. It great resource for software developers who want to learn more about test-driven development and how to use it effectively.
Provides a classic overview of software engineering, with a focus on the challenges of managing large software projects. It great resource for software engineers and project managers who want to learn more about software engineering best practices.
Save
Provides practical advice on how to manage software development teams effectively. It covers topics such as team dynamics, communication, and motivation.
Provides a practical guide to agile software development for project managers. It covers topics such as agile principles, scrum, and kanban.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/acusp0/sql
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Effort
4-5 weeks of study, 6-10 hours/week
Level
Intermediate
Via
Coursera
Institution
University of California, Davis
Instructor
Don Noxon
Language
English
Transcripts
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آذربایجان دیلی
This course belongs to a
collection
called
Learn SQL Basics for Data Science. It's comprised of four courses:
- Distributed Computing with Spark SQL
- Data Wrangling, Analysis and AB Testing with SQL
- SQL for Data Science Capstone Project (viewing)
- SQL for Data Science
Good to know
Emphasizes proficiency in SQL and data analysis to help learners succeed in the data science field
Provides a practical approach to learning SQL by utilizing real-world business problems
Structured into clear milestones, offering a guided and progressive learning journey for learners
Incorporates peer review and feedback to enhance learning and improve outcomes
Empowers learners to demonstrate their SQL skills and problem-solving abilities through a portfolio-worthy project
Facilitates storytelling and presentation skills, preparing learners to communicate their findings effectively
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