DISCLAIMER: USC Viterbi no longer offers coding bootcamp programs in partnership with Trilogy Education Services.
If you’re stuck in your current career or looking to begin your professional life, learning programming skills is a fantastic idea. Folks with developer skills are in high demand and command excellent salaries, and they get to work on exciting and engaging projects. To get those skills, more and more people are turning to the USC data analytics bootcamps.
The USC Viterbi Data Analytics Boot Camp is located in Southern California. It is considered one of the best USC coding bootcamps available. This is because it provides students with the foundational skills they need to gain first-hand experience with natural language processing, fundamental statistics, API Interactions, and programming languages. All key skills in the data analytics profession.
We’ve developed this guide to give you all the inside information you need on the USC coding bootcamp. In this article, you’ll learn about the expected tuition costs and the ways that you can pay for them. We also look at your instructors and the sorts of subjects you can plan on learning at bootcamp, and we see where you’ll attend class and the schedule options available.
USC Viterbi Data Analytics Bootcamp
Description | The data analytics bootcamp covers Python, CSS, HTML, Pandas, MySQL, Node.js, React.js, Git, VBA scripting, bootstrap, machine learning, advanced Excel, social media mining, and JavaScript. |
Cost | $12,500 |
Location | Los Angeles, CA |
Start Dates | Rolling Admission |
Class Time | Part-Time: 10 hrs./wk. |
Program Duration | Part-Time: 24 weeks |
Part-Time Courses | Data Analytics Bootcamp |
Full-time course | N/A |
USC Viterbi Bootcamp Locations
To ensure your time in coding bootcamp is time well spent, you need to make sure that your school is in a location convenient for you. Nobody wants to spend hours on a bus or in a car to get to class, as that can impact your studies and cause issues at home. If you take the time to find a program that has the features you need but also has a nearby location, your studies will be much easier.
You’ll attend your classes on the USC campus in Los Angeles at the Viterbi School of Engineering. The USC campus is convenient to a wide range of LA residents and can be reached by bus and car. Metered parking is available around the campus, and you can obtain a garage parking pass if you wish.
USC Data Analytics Bootcamp Cost
USC Viterbi tuition costs are one of the top features most people look into when determining enrollment in a USC Viterbi coding bootcamp. You’re probably looking to change careers to start making real money, and that means you might not have much tuition money to spend right now.
USC Viterbi tuition is $12,500. USC Viterbi data analytics bootcamp charges less than half of what some schools offering similar curricula charge, and you’ll get a nearly identical educational experience. The USC Viterbi tuition cost can be paid upfront or in monthly payments through a payment plan. USC also offers a $500 scholarship to assist.
If you qualify, you should check out a federal low-income student assistance program called EQUIP. Veterans are in luck as well and can use their GI Bill benefits to pay for the class.
USC Bootcamp Instructors
A school is only as good as the teachers it employs. It doesn’t matter how good the program looks on paper if the instructors aren’t up to snuff. A good teacher elevates any material they work with and makes the learning process more rewarding and effective, which is why getting to know the sorts of instructors you’ll meet in the USC Viterbi data analytics bootcamp is so vital.
The USC coding bootcamp instructors were all pulled from cutting-edge businesses and have decades of collective hands-on experience tackling and resolving programming issues. You’ll encounter teachers who’ve worked in startups and some who work in enterprise-level companies, and they all work to make sure that you get the training you need. You’ll have access to tutors and extra lessons, as well—everybody in the school wants you to succeed.
USC Bootcamp Schedule
When you’ve finished your research and have picked your bootcamp, the fun really kicks into high gear. You’ll go through an entrance interview for the USC Viterbi data analytics bootcamp so they can verify you are a serious and prepared student first, and after that, you’ll get to start working on the whys and wherefores of your course, including selecting a class schedule. You’ll want to pick a schedule that gets you through the class at a good rate but doesn’t impact your personal life too greatly.
USC Viterbi bootcamp currently offers a part-time schedule, which works well for most students and allows you to attend classes while holding down a full-time gig or continue going to school as a full-time student pursuing a different career path.
As a USC bootcamp student, you’ll be in class ten hours a week and will complete the entire course in twenty-four weeks. Your classes are held on Monday and Wednesday evenings and Saturday mornings to allow working folks to attend.
USC Viterbi Bootcamp Curriculum
The USC bootcamp was developed through a partnership between the university and Trilogy Education Services. Because coding bootcamps have gained increased attention, people have started to look at the schools’ curricula, which can be quite different depending on the school you attend.
You’ll have a full course load at USC coding bootcamp, all of it is current and relevant to modern business practices. USC offers a data analytics bootcamp covering many subjects, including Python, CSS, HTML, Pandas, MySQL, Node.js, React.js, Git, VBA scripting, bootstrap, and machine learning, advanced Excel, social media mining, and JavaScript. The curriculum is competitive and will set you up for all kinds of programming jobs.
USC Bootcamp Job Placement
The battle isn’t over once you’ve completed your coursework and received your certificate, of course. You’ll still need to find a good programming gig to put all of your newfound developer chops to good use and get the most out of your course. To ensure that their students have rewarding careers, the best schools include robust career services and their classroom offerings. When you job hunt with a school’s career office at your back, you can open doors that remain shut to other job seekers.
The career planning assistance provided by this program is invaluable. The career service team assists students in creating a strong portfolio of projects demonstrating the analytics skills they used to solve real-world problems, provides a portfolio review, and provides one-on-one mentorship when determining future career plans.
USC’s coding bootcamp offers outstanding career assistance and quality coding education. Be prepared to spend time with your career counselors and staff to get your resumé in good shape to show off your new technical skills. You’ll also have one-on-one meetups with counselors to prepare for job interviews, so you can have a leg up on the competition when you meet with prospective employers.
Specialized skills in coding can be the key to meeting your career goals, and a coding bootcamp can help you get there. This guide gives you the information you need to decide whether USC’s coding bootcamp is right for you.
USC Data Analytics Bootcamp
USC Viterbi offers a data analytics course. This course is known as the USC Viterbi data analytics bootcamp. It is an analytics program that specializes in teaching students in-demand skills, analytics tools, and other actionable insights to help prepare them to become data scientists.
USC Viterbi’s bootcamp tuition is $12,500 for the part-time program.
Yes, the USC data analytics bootcamp is open to students, non-students, and former students.
No, college credits are not currently available through the USC Viterbi data analytics bootcamp. However, bootcamp students earn a coding certificate upon graduation.
About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication.