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Credential Description

Upon finishing the non-credit courses in SQL, Power BI, and Data Analytics, you’ll earn the Data Analytics+ credential. This experience will equip you with the essential knowledge and skills to excel in data analytics, paving the way for new career opportunities or helping you advance in your current role.

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

  • Design and publish a business dashboard (virtually) to present key performance indicators (KPIs) and business metrics
  • Identify and apply the four phases of data analytics and six phases of data mining to transform raw data into valuable business insights
  • Implement the components of descriptive, diagnostic, predictive, and prescriptive analytics to enhance business forecasting, troubleshoot operational issues, and optimize decision-making

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.

  • See individual course pages for total cost
  • See individual course pages for course duration
  • See individual course pages for delivery method
  • No prerequisites
  • Program starts:
  • See individual course pages for start dates


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Career Pathways

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

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

These are just a few examples of career pathways for someone with a certificate in Data Analytics+. Further specialization, experience, and additional learning can open up more advanced opportunities in the tech industry.