Amina Tariq

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I’ve taken a whole bunch of courses actually in data science. I took a bunch online and I took a few in person, but none of them really gave me the confidence that I needed to sort of tackle a huge data project on my own from beginning to end.This is a great program which sort of introduces you to all the different tools and techniques that are out there and also teaches you some of the best practices because that’s pretty important in a real-life situation. That is something that I don’t think a lot of theoretical classes can offer.I really liked the instructors the energy that both Phuc and Raja brought to the classroom was really important, especially for a course like data science, which can be kind of dry when other people teach it. So, I felt like their method of instruction was extremely engaging. It was a lot of fun.There was a lot of laughter in class actually and we had a great time getting to know each other in the classroom. The other students that I met came from very different backgrounds so it was very interesting to get some insight into what kind of problems they’re working on. So, I just found that we learned just as much from the discussion that we’re happening then from the actual slides and the material.You get to learn from these experts who have done machine learning and data science and their day jobs and they can tell you exactly what it’s like in the real world. So, I think that’s pretty useful if that’s the kind of experience you’re looking for.

Explore Our Trainings

Designed to equip you with all the skills needed for a data scientist.

Duration: 16 weeks
Effort: 5 – 6 hrs/week

Learn the fastest-growing programming language with hands-on experience.

Duration: 5 days
Effort: 3 hrs/day

Master the art of data-driven decision making essential for your business.

Duration: 5 days
Effort: 3 hrs/day

Practicum

Get a chance to work with professionals, right after your training.
Learn data science and gain quality experience with our Practicum program.

Duration: 6 months
Effort: 8 hrs/day

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Frequently Asked Questions

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Yes, we provide corporate training and private bootcamp with customizable content and structure based on the enterprise’s requirements. If you want to learn more please submit a request here.

Our data science certificate programs are paid offerings however you can find a number of free short courses on online.datasciencedojo.com

We do offer payment plans with our financing partners Ascent Funding and Climb Credit. You can start learning by paying as low as $ 81 per month with our financing options. Learn more here: https://datasciencedojo.com/financing-plans/

Our data science bootcamp and Python training focuses on developing professional skill set that can help students advance in their careers. However, we cannot guarantee a job after completing our courses.

With each course, there will be plenty of opportunities to network with others in the industry, and you will be able to enhance and apply your skills. Once you complete our training you will become part of our alumni network with over 10,000 graduates from a variety of different backgrounds and industries.

Upon completion of our courses, we will provide you with a certificate that shows you have completed this course through the University of New Mexico’s Continuing Education program. Having accredited certification may be helpful if you are applying for jobs that require certification.

 

If you’re looking for a more career-intensive program then check out Practicum. With this program, we do offer dedicated job support and mentoring.

Yes, the number of credits is based on the number of hours. (1 CEU =10 contact hours)

The data science bootcamp with the University of New Mexico awards 7 CEUs. Python for Data Science provides 2 CEUs upon completion.

The group discount is 5% and applies to groups of 4 or more attendees who register and pay together. This discount can be also be combined with other available discounts.

View more about pricing for our bootcamps.

If you are interested in bulk pricing for large groups or departments, please reach out to us at [email protected] or give us a call at +1 (877) 360-3442.

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