Washington University Data Analytics Boot Camp
Applicants do not need programming experience to enroll, but once admitted, all students will complete a pre-course tutorial. As the program is part-time, Washington University Data Analytics Boot Camp is designed for working professionals and students who are actively pursuing a career change, advancement or looking to gain a new skill set.
Throughout the 24-week boot camp, students have access to career-planning services, portfolio reviews, mock interviews and recruiting advice. Graduates will receive a non-credit Certificate of Completion in Data Analytics from the Technology & Leadership Center at Washington University School of Engineering & Applied Science.
- Start Date
- January 7, 2019
- Class size
- St. Louis
- Tuition Plans
- Payment plans available
- Minimum Skill Level
- Prep Work
- Placement Test
More Start DatesJanuary 7, 2019 - St. Louis
$500 Washington University Data Analytics Boot Camp Scholarship
- Offer is only valid for new applicants. Applicants who have already submitted an application cannot claim this scholarship.
- This scholarship cannot be combined with other offers.
- Data Analytics (St. Louis)
0 reviews sorted by:
- Only Applicants, Students, and Graduates are permitted to leave reviews on Course Report.
- Post clear, valuable, and honest information that will be useful and informative to future coding bootcampers. Think about what your bootcamp excelled at and what might have been better.
- Be nice to others; don't attack others.
- Use good grammar and check your spelling.
- Don't post reviews on behalf of other students or impersonate any person, or falsely state or otherwise misrepresent your affiliation with a person or entity.
- Don't spam or post fake reviews intended to boost or lower ratings.
- Don't post or link to content that is sexually explicit.
- Don't post or link to content that is abusive or hateful or threatens or harasses others.
- Please do not submit duplicate or multiple reviews. These will be deleted. Email moderators to revise a review or click the link in the email you receive when submitting a review.
- Please note that we reserve the right to review and remove commentary that violates our policies.
Click here to log in or sign up and continue.