XTOL.Careers is closed

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XTOL.Careers

Austin

XTOL.Careers

Avg Rating:0.0 ( 0 reviews )

XTOL.Careers is a partnership between the Professional Development Center at the University of Texas at Austin and Experiential Teaching Online (XTOL) to offer skills-based career technology programs. These programs are a combination of online collaborative learning, individual projects, and in-person 1-on-1 mentorship. At the end of the program students will leave with a certificate of completion and a professional portfolio. 

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    Recent XTOL.Careers News

    • Agile Web Development

      Apply
      HTML, JavaScript, Rails, CSS, Ruby
      In PersonFull Time30 Hours/week26 Weeks
      Start Date None scheduled
      Cost$9,800
      Class sizeN/A
      LocationAustin
      The Certificate in Agile Web Application Development in Ruby on Rails is a human-mentored, web-based program that focuses on developing skills through realistic professional scenarios and projects. This program uses a Story-Centered Curriculum approach that simulates real-life situations; you’ll develop software to satisfy real-world types of user and customer needs. Guided by skilled faculty mentors, you’ll focus on a core set of software development skills.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelFamiliarity with Windows, Mac, or Linux operating system
      Placement TestNo
      InterviewNo

    • Data Analytics/Big Data

      Apply
      Data Science
      In PersonFull Time30 Hours/week18 Weeks
      Start Date None scheduled
      Cost$9,800
      Class sizeN/A
      LocationAustin
      Using a Story-Centered Curriculum approach, you will perform different tasks as a data analyst. First, you will use statistical machine learning techniques to evaluate online customer sales and market research data to provide insight into customer buying patterns and preferences. Your evaluation of this data will help the sales team make data-driven decisions about what products to offer and how to offer them. Next, you will perform a sentiment analysis of an extremely large data set utilizing cloud-based computing, machine learning tools, and the Common Crawl of the World Wide Web.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelFamiliarity with Windows, Mac, or Linux operating system
      Placement TestNo
      InterviewNo
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