Data Analytics PT Workshop
Feb 12
PROGRAM OVERVIEW
In this 12-week part-time, nights and weekends course you will gain additional skills in the exciting field of data analytics:
Learn Advanced Excel, SQL & Tableau
Study part-time while maintaining your work schedule.
Develop concrete, in-demand skills to level up in your career.
Complete projects using real data sets from a range of fields including healthcare, government, social welfare, and more—allowing you to build a strong portfolio with a professional demonstration of mastery.
Review the Complete Curriculum Here
PROGRAM DETAILS
Galvanize is committed to providing hands-on training to students on the Galvanize campus on all specified course dates between the hours of 6:00 PM to 8:45 PM, and 10:00am-3:00pm on the 2 Saturdays. Training consists of lectures, curated content, exercises, challenges, tests, and reviews. There will not be required after-hours work, but it is expected that the student may need to work outside of class hours because of the intense nature of the training.
PROGRAM DATES
Week 1: February 12 and 14
Week 2: February 19 and 21
Weekend 1: February 23
Week 3: February 26 and 28
Week 4: March 5 and 7
Week 5: March 12 and 14
Week 6: March 19 and 21
Weekend 2: March 23
Week 7: March 26 and 28
Week 8: April 2 and 4
Week 9: April 9 and 11
Week 10: April 16 and 18
Weekend 3: April 20
Week 11: April 23 and 25
Week 12: April 30 and May 2
STUDENT’S RIGHT TO CANCEL
Cancel more than 48 hours before first class begins: Full Refund (minus processing fee).
Cancel within 24 hours before first class begins: Charged for 1 day of class, and reimbursed the remaining fees paid for the workshop.
Cancel within the first 2 weeks of class: Charged a per-diem from the day the notice is given.
SCHOOL’S RIGHT TO TERMINATE
Galvanize reserves the right to terminate a student for failure to comply with the community’s professional standards, nonpayment of tuition, or any other breach of trust or policies with Galvanize.
For questions, please reach out to [email protected]
