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FAQ
Here are answers for some common questions regarding the DataCoach program.
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What is the program fee for participants?Acceptance to the DataCoach program requires paying a symbolic fee of 200 New Israeli Shekels. However, if this poses an issue, please tell us - we will not bar participation based on inability to pay the fee.
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How long is the program?The program is planned so as to provide mentoring and guidance for participants for a period of two to three years. However, a commitment for a minimum of one year of participation in weekly meetings and mentoring sessions is required from participants.
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Is this a program by the Technion?No! DataCoach is not an academic program, and it is not part of the Technion or any other academic institutions! The Faculty of Data and Decision Sciences at The Technion is a partner of the program, and has commited to contribute time and knowledge to help participant get the best complementary training, but the main goal of the program is coach you through the best way to get into the data science profession: By pursuing the appropriate academic degrees at the best possible academic institutions.
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Will you give out scholarships?We will not give out scholarships, but we will attempt to assist you with getting one of the many existing relevant scholarships.
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Can I volunteer or contribute to the program in any way?Sure you can! Like a true non-profit, DataHack tries to harness the power of the amazing Israeli data science community to power its projects. Specifically, government funding for the DataCoach project covers only the most basic operational costs (rent, food, salary for the program operational manager). Three major aspects of the program are based on volunteering: Lectures and workshops. Monthly mentoring sessions (on Zoom) from a personal mentor. Hands-on data sciecen projects on real-world problems. If you, as a person or as a representative of a company, wishes to volunteer for any of these aspects, please write to us to datacoach@datahack.org.il ! We are also looking for corporate sponsorship of scholarships for advanced degrees or advanced training programs, and are always looking for partnerships; you can contact us regarding these matters to datacoach@datahack.org.il .
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What are the eligibility critera for the program?To be eligible to enroll in the DataCoach program you must be an Arab, Druze or Bedouin student belonging to one of the following groups: 1. Graduates of degrees in computer science, software engineering, electrical engineering, information systems, management information systems and information systems engineering, who were unable to find employment in these professions, and 5 years or more have passed since graduating. 2. Students and graduates of STEM degrees who are not included in group 1 above, who are unable to translate their education into employment in technological professions. Especially relevant are graduate of M.Sc. degrees no included in group 1 above. Note: The program is aimed mainly at students from groups 1 and 2! A limited number of students from group 3 will be accepted to the program! 3. Students for undergraduate (bachelor's) degrees in computer science, software engineering, electrical engineering, information systems, management information systems and information systems engineering, that are currently enrolled in the last or one-before-last year of their degrees. Note: The program is aimed mainly at students from groups 1 and 2! A limited number of students from group 3 will be accepted to the program! You do not have to live in a specific city (like Haifa) or be enrolled in a specific academic institution (like the Techinon or the University of Haifa).
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What are the acceptance criteria for the program?Acceptance to the program will be determined by the following three criteria: Motivation and commitment to the full duration of the program, including physical attendance of the weekly meetings and mentoring sessions. Motivation and commitment to pursure the advanced degrees/training programs the DataCoach program aims to see you pursue. Academic performance in degrees so far.
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