Master fundamental SQL skills for data analysis, including querying, filtering, and manipulating data for business insights.
Master fundamental SQL skills for data analysis, including querying, filtering, and manipulating data for business insights.
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.
4.6
(16,327 ratings)
6,24,362 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
What you'll learn
Write SQL queries to retrieve data
Filter and sort data using SQL commands
Create analysis tables using UNION
Manipulate data with SQL functions
Skills you'll gain
This course includes:
4.2 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces SQL fundamentals for data science applications. Students learn database concepts, data modeling, and essential SQL commands for data analysis. The curriculum covers selecting, filtering, and manipulating data, working with multiple tables through joins and subqueries, and analyzing data using aggregate functions. Practical assignments provide hands-on experience with real-world data analysis scenarios.
Getting Started and Selecting & Retrieving Data with SQL
Module 1 · 4 Hours to complete
Filtering, Sorting, and Calculating Data with SQL
Module 2 · 2 Hours to complete
Subqueries and Joins in SQL
Module 3 · 3 Hours to complete
Modifying and Analyzing Data with SQL
Module 4 · 4 Hours to complete
Fee Structure
Instructor
Visionary Leader in AI and Data Science Empowerment
Sadie St. Lawrence is the Founder and CEO of the Human Machine Collaboration Institute (HMCI), where she spearheads initiatives aimed at enhancing the synergy between humans and machines in the era of artificial intelligence. Under her leadership, HMCI collaborates with leading public and private organizations to foster innovation in knowledge work through AI technologies. Before establishing HMCI, Sadie founded Women in Data™, a global nonprofit organization that has made significant strides in supporting women in the data profession, boasting a community of over 70,000 members across 55 countries. Her diverse background includes expertise in piano performance, psychology, and data science, complemented by over a decade of experience in AI strategy and neuroscience research. Sadie's contributions to the field have earned her numerous accolades, including recognition as one of DataIQ's Top 100 Most Influential People in Data for 2024 and inclusion in Dataleum’s 30 Outstanding Women in Data for 2023. She also serves on the White House Council for Equitable Data and AI Training and hosts the award-winning Data Bytes podcast. Through her educational efforts at UC Davis, Coursera, and LinkedIn Learning, she has reached over 600,000 learners, solidifying her impact as a thought leader in data science and AI education.
Testimonials
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4.6 course rating
16,327 ratings
Frequently asked questions
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