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University of California, Irvine - Division of Continuing Education Online Certificate in Data Science
University of California, Irvine - Division of Continuing Education

Online Certificate in Data Science

USA Online, USA

9 Months

English

Part time

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USD 6,215 *

Distance Learning

* average cost

Introduction

Overview

The demand for data practitioners has increased dramatically over the past few years. Data Science is continually ranked as one of the most in-demand professions and the need for skilled professionals to manage and leverage insights from data is clearer than ever before. The curriculum taught in this Data Science Certificate Program is designed to meet the expanding needs of data professionals at all levels.

This program covers a wide array of topics in data science including data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python, and machine learning.

Career Insight

Occupational summary for software developers, applications in the United States.

  • Jobs: 33,286 (2019)
  • Projected Growth: 18.7% (2019-2029)
  • Annual Salary: $118k (Median Salary)

Program Benefits

  • Learn from industry experts how to utilize a combination of science, art & business techniques to deliver new insights and competitive intelligence
  • Describe the phases of the analytics lifecycle
  • Utilize a variety of statistical and computer science tools and techniques to analyze data
  • Describe and use the typical tools and technologies required to model and analyze large (big) datasets
  • Explain the use of typical tools to explore data (R, STATISTICA, Hadoop, etc.)
  • Utilize an inquisitive "hacker" mentality to uncover new meaning from existing data
  • Effectively design, model, and manage databases
  • Describe and utilize unstructured and structured data sets leveraging text analytics tools.
  • Define requirements, develop an architecture, and implement a data warehouse plan

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Curriculum

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