![]() ![]() Techtown makes no ownership claim to your review, but we’d like to ask you to not share your review or video anywhere else for 12 months after it’s published on techtown. When this changes (and we hope it does soon), we’ll be sure to let you know. Better ask to make sure.įor now, the techtown review program is only open to members in the U.S. You can keep the product you review unless your boss says you can’t. You can only review one new tool once every 6 months unless the value of the initial review product is over $1000, then it may be longer. If a product arrives defective or missing components, please contact We’ll get that squared away ASAP. If you need more time, please email in mind, reviews need to be honest, helpful and contain enough info to help everyone else make a well-informed decision about purchasing the tool you’re reviewing. You’ll need to provide your review within 4 weeks of receiving your item. Feel free to mention your name, but please don’t include other people in your video or mention other people or companies by name – it’s for legal reasons.A maintainer reviews the changesets and decides if they need more work or if they are suitable for merging. No need to mention the price or where the tool can be purchased, because that can change– we’ll make sure all that info is supplied alongside your review. A simple but effective model is the GitHub pull request model, where contributors file 'please merge in my code' requests.Please keep in mind, photos and videos should be high res and clear, think TV-ready.Your review can be written (with photos, please) or a video.If you’ve been a techtown member for more than 3 months or you’ve created over 50 posts, you’re eligible! We’ll share what you think with the rest of the techtown community. Once you sign up, you could be chosen to receive something new to test and review. Instead of watching us review the hottest new tools, we’re asking the real professionals, like you, to chime in. Open to underrepresented candidates of all professional backgrounds, with no prerequisites.Review new tools for yourself and tell us all about it. All graduates also gain access to the C1 Connect platform. Career development resources, including our Career Fairs and one-on-one Mentor relationships, give candidates access to top jobs. We know it takes more than knowledge to succeed in the data economy. Fellows work with teams of peers to solve real data problems on issues from business to healthcare to criminal justice.ĭS4A / Empowerment is not just a training program. A low Fellow-Instructor ratio promotes collaborative learning.Ĭlasses are Saturdays only, fitting busy schedules. The Instructor staff includes faculty from Harvard University, MIT, and other top universities. The course is entirely free for Fellows, supported by generous contributions from Employer Partners.Ĭurriculum is case-based, designed with input from PhDs & industry experts, to impart practical skills, not theory. Data Science for All bootcamp graduates will receive a signed certificate from Correlation One that can be displayed on professional sites such as LinkedIn.ġ3-week Live Online data analytics + jobs program, built to train Fellows to become data-fluent and access high-quality jobs. This will be followed by an interview.ĭata Science For All bootcamp students will be connected to a network of professional mentors from partner organizations and will also receive career coaching and access to job opportunities from bootcamp partners.ĭata Science for All bootcamp tuition is free for all accepted students. Applicants will be asked to complete a technical assessment designed to measure problem solving skills. Accommodations are available for deaf and hard of hearing participants. No prior technical knowledge is required. Students will create a project to showcase their skills to potential employers.Īdmission to the Data Science For All bootcamp is merit-based, competitive, and offered only to traditionally underrepresented students and working professionals. ![]() The Practitioner's Guide to Program Review : Provides the context, information, and direction for crafting a program self-study. Data Science For All students will work in small teams on projects to solve real world data and AI challenges. for Joint Review of Established Graduate and Undergraduate Programs : The outline, based on UAlbany, SUNY, NYSED, and Middle States guidelines, that departments should use in preparing their program review self-study documents. The total weekly time commitment, including out of class work, is approximately 15 hours. Bootcamp classes are taught on Saturdays from 10 am to 8 pm. Correlation One offers a part-time, live online Data Science For All bootcamp taught by instructors from universities, such as Harvard, Columbia, and MIT. ![]()
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