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.
SQL for Data Science Capstone Project
SQL for Data Science Capstone Project
This course is part of Learn SQL Basics for Data Science Specialization
Instructor: Don Noxon
38,362 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.2
(230 reviews)
Intermediate level
Some related experience required
35 hours to complete
3 weeks at 11 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Develop a project proposal and select your data
Perform descriptive statistics as part of your exploratory analysis
Develop metrics and perform advanced techniques in SQL
Present your findings and make recommendations
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Learn SQL Basics for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
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.
What's included
12 videos4 readings1 peer review2 discussion prompts
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.
What's included
7 videos1 reading1 peer review1 discussion prompt
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.
What's included
5 videos1 peer review1 discussion prompt
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.
What's included
12 videos7 readings1 peer review2 discussion prompts
Instructor
Instructor ratings
4.4 (46 ratings)Offered by
Recommended if you're interested in Data Analysis
Johns Hopkins University
Coursera Project Network
University of California, Davis
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4.2
230 reviews
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Showing 3 of 230
MM
5
Reviewed on Nov 24, 2021
This guided project was a nice end to the SQL Basics specialization.
AL
5
Reviewed on Jan 21, 2024
A fantastic course giving someone with no coding experience the basics to perform well in the data analytics field.
JP
5
Reviewed on Jul 25, 2022
Great Course. I explored the ability to make a data science project from start to end
New to Data Analysis? Start here.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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