Data Analytics Boot Camp

This innovative, part-time program will give you the technical skills needed to conduct robust data analytics on a host of real-world problems. 

Rice University Data Analytics Boot Camp is a 24-week, part-time Data Analytics course offered on the Rice campus at the Anderson-Clarke Center. The curriculum includes Advanced Excel, Python, JavaScript (D3.js, Leaflet.js), HTML/CSS, API Interactions, Social Media Mining, SQL, Hadoop, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and more. The curriculum incorporates a blend of real-world projects, marketable hard skills, and behavioral and technical interview prep to prepare you to succeed on job interviews.

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, Rice University Data Analytics Boot Camp is designed for working professionals and students who are actively pursuing a career change or advancement, or looking to gain a new skillset. 

Throughout the 24-week boot camp, students have access to career-planning services, portfolio review, demo days, and recruiting advice. Graduates will receive a certificate of completion from Rice University’s Susanne M. Glasscock School of Continuing Studies and will have a portfolio of projects demonstrating a working knowledge of data analytics.

Details

Section Instructor Format Schedule start date
PDAB1000.F18.1 To Be Determined On-campus 6:30-9:30 p.m. Mondays and Wednesdays; 10 a.m.-2 p.m. Saturdays Monday, November 5, 2018
PDAB1000F18.2 To Be Determined On-campus 6:30-9:30 p.m. Tuesdays and Thursday; 10 a.m.-2 p.m. Saturdays Tuesday, November 6, 2018

Term: Fall 2018

Start Date: Nov. 05, 2018

End Date: May 18, 2019

Schedule: 6:30-9:30 p.m. Mondays and Wednesdays; 10 a.m.-2 p.m. Saturdays

Length: Mondays, Wednesdays and Saturdays

Location: Rice campus

Term: Fall 2018

Start Date: Nov. 06, 2018

End Date: May 18, 2019

Schedule: 6:30-9:30 p.m. Tuesdays and Thursday; 10 a.m.-2 p.m. Saturdays

Length: Tuesdays, Thursdays and Saturdays

Location: Rice campus

Upon completion of the program, participants will have the ability to:

  • Employ statistical analysis to models, predict and forecast trends
  • Expertly build VBA scripts in Excel to automate tedious manual processes
  • Utilize real-world data sources to showcase social, financial and political phenomena
  • Create Python-based scripts to automate the cleanup, re-structuring and rendering of large, heterogeneous datasets
  • Analyze social media trends on Twitter and Facebook using automated programs
  • Use advanced SQL and Mongo techniques to combine multiple datasets into one so as to create even more impressive and comprehensive databases

Early application discount: $1,000

Rice University Alumni tuition discount: $500

Students that qualify may arrange payment plans as well as private loans (if applicable) for up to the full cost of registration.

Scholarship

Rice University Data Analytics Boot Camp is a 24-week, Data Analytics course. It is part-time and designed for working professionals and students who are actively pursuing a career change or advancement or looking to gain a new skillset. The Course Report community is now eligible for a $500 scholarship to Rice University’s Susanne M. Glasscock School of Continuing Studies.

Eligibility: Offer is only valid for new applicants to Rice University’s Susanne M. Glasscock School of Continuing Studies. Applicants who have already submitted an application cannot claim this scholarship. Rice University’s Susanne M. Glasscock School of Continuing Studies does not allow stacking of scholarships or discounts. 

Guarantees Jobs: No

Job Assistance: Yes

Accreditation: Yes, Rice University is accredited by the Southern Association of Colleges and Schools Commission on Colleges. This program is offered through Rice University's Susanne M. Glasscock School of Continuing Studies.

Post Graduate Resources: No

Housing: No

Visa Assistance: No

Ken Kennedy Institute Boot Camps

Leading Data Science faculty serve as instructors for the Data Science Boot Camp at Rice University. The curriculum covers topics ranging from R, Python, Cloud Computing, Unsupervised and Supervised Learning to Deep Learning. Using Rice’s shared computing infrastructure, hands on laboratory sessions supported by the instructor and lab assistants, will be offered each day allowing participants to practice what is being taught in the class sessions. Learn more.

The Ken Kennedy Institute for Information Technology is dedicated to the advancement of research in the fields of computing, data science and information technology. Our goal is to provide broad support for a strong community of research experimentation that challenges traditional disciplinary limits.