SQL for Data Analysis
With Nikiya Simpson
Liked by 2,018 users
Duration: 1h 10m
Skill level: Intermediate
Released: 7/17/2023
Course details
If you’re looking to use Structured Query Language in your application development but your story is more prequel than SQL, you need to build a solid foundational knowledge of SQL analysis. In this course, instructor Nikiya Simpson starts with a quick review of SQL basics, then focuses on fundamental SQL queries used in beginning data analysis. Nikiya explains the importance of asking the right questions about your data and how those questions translate into SQL. She also shows how these concepts can be used to derive quick insights from your data to help drive effective decision-making. Nikiya finishes the course by demonstrating how to incorporate queries into tools like Jupyter Notebook to help bring your data to life.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out both Codespaces videos to learn how to get started.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Daniel Maganto Pizarro
Daniel Maganto Pizarro
Business Domain knowledge combined with Technical Know-How
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Khaolani Michael Mavimbela
Khaolani Michael Mavimbela
Computer Science: Freelancer Software and Web Development
Contents
What’s included
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone