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SQL for Data Science Capstone Project

Apply SQL skills to analyze real data and solve business problems through a comprehensive capstone project.

Apply SQL skills to analyze real data and solve business problems through a comprehensive capstone project.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Learn SQL Basics for Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.2

(224 ratings)

37,419 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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SQL for Data Science Capstone Project

This course includes

35 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Develop comprehensive project proposals and select appropriate datasets

  • Perform descriptive statistics and exploratory data analysis

  • Create advanced metrics and analyze qualitative data

  • Present findings effectively through data storytelling

Skills you'll gain

SQL
Data Analysis
Project Management
Exploratory Analysis
Data Visualization
Statistics
Presentation Skills
Data Storytelling
Database Design
Metrics Development

This course includes:

2.9 Hours PreRecorded video

4 peer reviews

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive capstone project allows students to apply SQL skills to real-world data analysis challenges. The curriculum guides learners through selecting datasets, developing project proposals, performing descriptive statistics, and conducting advanced analyses. Students create metrics, analyze qualitative data, and present findings through storytelling techniques. The course emphasizes practical application through hands-on experience with database querying and analytical problem-solving.

Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation

Module 1 · 9 Hours to complete

Milestone 2: Descriptive Stats & Understanding Your Data

Module 2 · 8 Hours to complete

Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)

Module 3 · 7 Hours to complete

Milestone 4: Presenting Your Findings (Storytelling)

Module 4 · 10 Hours to complete

Fee Structure

Instructor

Don Noxon
Don Noxon

4.4 rating

45 Reviews

37,372 Students

1 Course

Expert in Machine Learning and Data Science at Intel

Don Noxon is a Research Data Scientist at Intel Corporation, where he has spent over 22 years in various roles. Currently, he focuses on solving high-value business challenges by predicting future outcomes using Machine Learning and Deep Learning techniques, often developing proprietary algorithms to achieve success. He also teaches a course titled "SQL for Data Science Capstone Project."

SQL for Data Science Capstone Project

This course includes

35 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.2 course rating

224 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.