Why a Data Science and Analytics Bootcamp Is the Fastest Track to Launch Your Career in Tech
Can bootcamps really be a fast-track to your new career in tech? It may seem overwhelming to embark on a new path if you don’t know where to begin. The truth is, it can be easier than you think! With programs such as the UNLV Data Science & Analytics Bootcamp, which takes you from no experience to data professional in just ten months, anyone can start a tech career.
In this blog post, we break down for you:
- Why bootcamps are a great way to invest in yourself
- What to expect from the UNLV Data Science & Analytics Bootcamp
- How you can test-drive the program before committing
Keep reading to learn how to become a data professional in less than a year.
Breaking Down Bootcamps
What are bootcamps?
Unlike the traditional higher education route, bootcamps offer an accelerated path to learning specific skills to help prepare you for the career you want to pursue. A bootcamp provides professional training that allows you to start working in the field of your choice and gain hands-on experience before setting foot in the workforce.
Boootcamps tend to spend less time learning the theory and history of the industry and more time practicing the skills employers seek. Once you have the basic skills down, you can start working in the industry and pursue further education, such as a bachelor’s or master’s, as you excel in your career.
Are bootcamps worth it?
Absolutely! Free online courses can be a great starting point if you want to scratch the surface; however, gaining skills that match your career goals and connecting with potential employers is the best investment you can make for yourself.
Enrolling in the UNLV Data Science & Analytics Bootcamp is the first step in this investment. Our comprehensive programs provide the hands-on training employers require and a professional portfolio to showcase your abilities with a unique, immersive approach to adult learning and professional development. Best of all, you can keep your day job and still commit to achieving your career goals with part-time classes.
Whether you’re interested in reskilling for a new career or upskilling to take your current role to the next level, bootcamps can offer a satisfying return on investment regarding salary, career path, and professional growth.
What to Expect from the UNLV Data Science & Analytics Bootcamp
No Experience Necessary
At the UNLV Data Science & Analytics Bootcamp, learners gain the knowledge, mentorship, and hands-on experience required to jump into their first data science job confidently. Whether you have a background in data science or tech or are curious about the field and want to explore a new career path, this bootcamp can prepare you for success regardless of your experience.
Designed for Busy Adults
You don’t need to put your life on hold while training for your next career move. Our bootcamp is a 400-hour part-time program that takes place online, during the evenings and weekends. This part-time schedule allows career changers and upskillers to take their careers to the next level without putting life on hold. If you’re not sure you want to or can pursue a tech career such as data science, our Introductory Course can help you make an informed decision.
Expert-Led Classes
Expertise touches every aspect of our Data Science & Analytics Bootcamp, from the curriculum engineers who ensure the courses and projects meet today’s standards to the instructors who are active data professionals dedicated to transforming learners like you into their future colleagues. With expert instructors, learners are gaining years of experience in a matter of months by soaking up what instructors have learned throughout the years and understanding the innovative technologies that await them.
Comprehensive Training
Some bootcamps focus on data science training; others focus on data analytics. We focus on data science and data analytics to provide learners with a range of skills and training that increases their professional value. With this experience level on hand, learners can pursue any niche they desire and bring a well-rounded set of skills to their future workplace or clientele.
Start With a 30-Day Test Drive
The Introductory Course is the best way to get a feel for the data science field and protect your investment! You will attend evening classes for about a month to better understand the virtual learning environment, learn core data science concepts, and begin hands-on training to see if this career path is right for you.
Before moving on to the Extended Course, you must pass an assessment exam and evaluate your progress with an admissions advisor.
Let’s recap the Introductory Course:
- 30 days of instruction led by active data professionals
- Live, virtual sessions held in the evenings
- Introduction to core data science and analytics concepts
- Exposure to scripting, computing basics, and data life cycles
- A sneak peek into the data science and analytics field
- A real-world expectation of the careers you can pursue
10 Months to Your Tech Career
It used to take years of training and on-the-job experience to consider someone qualified for any particular tech role. Today, bootcamps are helping to close that gap and allow individuals from all backgrounds and skill levels to access the career of their dreams.
In less than a year, you can build real-world skills with the guidance of data professionals who know what the expectations are for today’s workforce. A community of mentors, coaches, and success managers keeps you accountable and lends support and additional resources to ensure you progress towards your goals.
Our bootcamp also opens the door to incredible networking opportunities to help you foster the right connections that will come in handy when it’s time to search for your next role.
Beyond the Bootcamp to Find Your Dream Job
Job placement assistance. Access job boards, professional development workshops, and a growing network of hiring partners to increase your chances of finding the right employer for you.
Here are just a few data science careers you can pursue:
- Business Analyst
- Data Analyst
- Data Engineer
- Applied AI Engineer
- Data Wrangler
- Data Scientist
- Data Architect
- Machine Learning Engineer
- Statistician
- Database Administrator
Gain confidence for industry certifications*. When it’s down to you and another equally qualified candidate, certifications can be the kicker in deciding who is more suitable for the job. Although our bootcamp is not a certification prep course, you should expect to acquire skills and knowledge applicable to three popular industry certifications:
- Microsoft Certified: Data Analyst Associate
- IBM Data Science Professional Certificate
- IBM Data Analyst Professional Certificate
Build your professional portfolio. Reinforce what you learned and apply new skills to real-life scenarios with milestone projects. Build and present data stories; learn how to integrate, report, and present findings; and understand the importance of organizing and visualizing data. These projects will become your professional portfolio, which you can use to showcase your skills, excite potential employers, and set yourself apart from the rest.
Data Science is Among the Fastest Growing Occupations
67% of companies are increasing hiring efforts for their data science & analytics teams. There has never been a better time to start your data science career, and with the UNLV Data Science & Analytics Bootcamp ready to prepare you for the workforce, you have everything you need to proceed with confidence!
Take the first step today by filling out the form below to schedule a call with our admissions team. Get answers to your most pressing questions, learn about the job opportunities in your area, and find out about our next cohort start date. Our advisors are waiting to hear from you!
Remember to share this article with anyone else you know who is interested in pursuing a career in tech.
*This is not a test-prep program. Learners should expect to gain career-focused knowledge and skills. Certification tests and Certification exams are not conducted as part of the program and require additional costs not included in tuition