FUNDAMENTALS OF DATA SCIENCE

CERTIFICATE

The Fundamentals of Data Science Certificate is a comprehensive program designed for individuals seeking broad, job-ready training across the core disciplines of modern data science.

This certificate combines instruction in data visualization, business intelligence, machine learning, and data engineering to provide students with practical technical skills used in today’s data-driven workforce.

Students completing this program develop competencies in data analysis, database systems, predictive modeling, cloud integration, APIs, and data communication.

This program is ideal for individuals pursuing careers in data science, analytics, machine learning, or related technical roles.

what does a Data Scientist do?

A Data Scientist analyzes complex datasets to identify patterns, develop predictive models, and generate insights that support organizational decision-making.

COMMON TASKS OF A DATA SCIENTIST:

  • Collect, clean, and prepare structured and unstructured data
  • Develop predictive and statistical models
  • Analyze data for trends, anomalies, and business insights
  • Build machine learning solutions
  • Communicate findings to technical and non-technical stakeholders
  • Support deployment and operationalization of analytical solutions

CERTIFICATION REQUIREMENTS

This certification is earned upon completion of ALL of the following certificates:

Total Length: 192 hours of class time over 36 weeks.

Total Cost: Total Cost: $20,000. Tuition includes all required coursework and instructional

materials. Overlapping instructional content shared across programs is integrated and counted

once toward total instructional hours and tuition calculations.

Clock Hours: 192 Weeks: 36 Delivery: In-person or Online Credential: Certificate

Omaha Data Science Academy is accredited by the Nebraska Commissioner of Education under the provisions of sections 85-1617 through 85-1621 Revised Statutes of Nebraska, and Title 92, Nebraska Administrative Code, Chapter 41, Section 009.

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