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Cambridge Spark

Cambridge, London

Cambridge Spark

Avg Rating: ( 0 reviews )

Cambridge Spark offers a 6-month, part-time data science course in London. The course is designed to equip students with the most relevant data science skills matching industry needs through a combination of hands-on training, independent learning, and collaborative projects. Courses take place over 10 in-person training weekends where students build professional portfolio projects on real-world data. There are special lectures, activities, and regular opportunities to present your work, discuss findings, and receive feedback. Students at Cambridge Spark will complete an industry-sponsored project, earn certification, and receive one-on-one mentorship from experts. 

Applicants should have elementary Python programming knowledge and experience with the command line, basic probability and linear algebra. Cambridge Spark offers two tracks, the Professional Development Track and the Data Science Career Track which includes comprehensive career support and introductions to their network of hiring companies. 

Recent Cambridge Spark Reviews: Rating

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    Recent Cambridge Spark News

    • Applied Data Science Career Track

      Apply
      Data Science
      In Person
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationCambridge
      Get the entire Professional Development track + comprehensive career support and introductions to our network of hiring companies.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo
    • Applied Data Science Professional Development Track

      Apply
      Data Science
      In Person
      Start Date None scheduled
      CostN/A
      Class sizeN/A
      LocationCambridge
      Attend intensive training weekends, get mentored by industry experts and access a range of industry-sponsored problems to build your portfolio.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelN/A
      Placement TestNo
      InterviewNo

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