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School of Information Technology

Home » Academic Programs » Non-Degree Seeking Courses » Data Analytics

COURSE

DATA ANALYTICS

Data Analytics

Welcome to the Non-Degree Seeking (NDS) course options at CBT Technology Institute, where tradition meets innovation in continuing education and professional development courses. As part of our commitment to providing industry-relevant education in construction and information technology, we offer a range of courses tailored to meet the evolving needs of our alumni, employers, industry partners, and the wider community.

Our NDS options provide extended support to individuals seeking to enhance their skills, advance their careers, or stay abreast of industry trends. Whether you are a seasoned professional looking to expand your knowledge or someone new to the field, our courses are designed to empower you with the latest tools and techniques.

At CBT, we embrace our role as a training provider and resource for these vital industries, fostering economic growth and innovation in our communities. Join us as we continue to bridge the gap between tradition and innovation in construction and information technology education.

COURSE OVERVIEW

Enroll in CBT Technology Institute’s Data Analytics course to become job-ready or enhance your skills in an ever-evolving data-driven world. This course teaches you to gather, analyze, and interpret data to support strategic and operational decisions.

In this course, you will use specialized software to build processes for data extraction, analysis, and manipulation. Starting from the basics, you will learn about different types of data, collection methods, and quality assessment, culminating in presenting data for business decision-making. No prior experience is required, just your ambition to learn and apply data analytics in real-world scenarios.

Course Details

  • Program Delivery: Onsite / In Person
  • Campus: Flagler
  • Total Hours: 160
  • Credential Earned: Certificate of Completion
Data Analytics

COURSE OUTCOMES

Course Topics

  • Common Grounds
  • SQL Server Database
  • Programming with Python
  • Business Intelligence
  • Capstone

Admissions Requirements

  • Complete an interview with an Admissions Representative.
  • Submit a completed admissions application.

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Data Analytics

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