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Credential Description

The SQL certificate offers comprehensive instruction on working with relational databases, SQL queries, and data modeling techniques. Learners will gain hands-on experience with real-world data scenarios and learn advanced topics such as database normalization, joins, and subqueries. Upon completion, learners will understand SQL data management and manipulation, providing them with the skills necessary to excel in data analysis and data operations roles.

Important: You may be eligible to take this program at NO COST through the IT Workforce Accelerator project. A laptop loan program is also available to those who are eligible to enroll in courses.

Please complete the interest form and someone will email you within 2 business days regarding eligibility and to provide the program registration link.

What You’ll Learn

  • Write SQL queries to manipulate and analyze data
  • Design and optimize databases using normalization principles and data modeling
  • Implement data management best practices in real-world situations

What You’ll Earn

Upon successful completion, you’ll earn a digital badge that can be shared on your LinkedIn profile, digital resume, or portfolio. Your badge will include details of the competencies you’ve mastered, giving employers a visual verification of your newly acquired skills.

Saba Jamalian

Saba Jamalian

Saba is an adjunct faculty member at Bradley University, teaching courses such as Database Systems, Algorithms, and Programming Fundamentals. As a Senior Software Engineer with experience at Relativity, Braze, and Atlassian, he bridges academia and industry, blending teaching with real-world tech expertise.

  • 1100
  • ($990 for Bradley University Alumni)
  • 3 months
  • Online, anytime
  • No prerequisites
  • Program starts:
  • Self-paced, start anytime


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Career Pathways

After earning the entry-level non-credit certificate in SQL, there are several career pathways you could explore:

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Business Analyst

These are just a few examples of career pathways. Further experience, specialization, and continuous learning will help you advance in your chosen career path within industries that rely on data-driven decision-making.