Data Science Dojo was founded on the idea that everyone can learn data science. Having successfully trained more than 5,000 data professionals, the school has already made good on its founding vision. How has it accomplished this? That’s the question this Data Science Dojo review will try to answer.
The school’s recipe for success involves dynamic curricula, online and in-person learning options, and a long list of industry connections. But that’s just scratching the surface. If you’re ready to join the 5,000 professionals who have graduated from this data science bootcamp, keep reading.
Data Science Dojo offers a selection of short-term courses and medium-term bootcamps on various data-related topics. When available, the in-person intensive programs typically break down into 50 hours of in-person instruction, 10 hours of online instruction, and 20 hours of mentoring.
Unfortunately, in-person classes are currently on hold. In the meantime, you have plenty of remote options to choose from.
Data Science Dojo specializes in teaching students how to extract insights from data in a short timeframe. The school’s curricula cover topics in practical data science, including R programming and Azure tools, machine learning concepts, Python, data analytics, and more.
Taught by data scientists from renowned tech companies, the 16-week Data Science and Data Engineering Bootcamp is Data Science Dojo’s best-selling program. You only have to commit five to six hours a week, and once you’re finished, you’ll receive a certificate from the University of New Mexico. But you do have to complete mandatory pre-work before it starts.
In addition to the core topics, you will drill down on things like the basics of data mining, big data engineering, and how to tell stories with data.
In this remote course, aspiring business analysts will learn how to make data-driven business decisions. It lasts five days, and students are expected to commit three hours per day.
The curriculum covers the data lifecycle, data science and machine learning tools, and business and product development techniques.
This live interactive course teaches core Python concepts for data science and it culminates in a final Python project. Over five three-hour days, students will learn data handling techniques, data wrangling, aggregation and grouping, data exploration, RESTful APIs, and data pipelines in Python.
The program is offered in partnership with the University of New Mexico, so graduates will receive a verified certificate at the end.
Data Science Dojo offers remote interactive learning. In normal times, you can also study in one of the following locations.
Each bootcamp has its own schedule, but all are part-time and extremely manageable. The flagship data science bootcamp holds one three-hour class every week for 16 weeks. The Python course and the course for business leaders are held for three hours a day on five consecutive days.
Corporations can also hire Data Science Dojo to come to their workplaces and administer a tailored version of one of its programs.
Data Science Dojo tuition varies by program. Also, each program is offered at four different price points, which are called Dojo, Guru, Sensei, and Practicum.
The Dojo price is what the bootcamp itself costs. With Guru and Sensei, you get everything in Dojo plus access to different types of learning materials. The Practicum level, which is only available with the flagship program, includes a three-month data science internship.
Instead of going through a rigorous application process, you simply register for the bootcamp of your choice. Just find a time that works with your schedule, register, and pay.
To apply for a Data Science Dojo program, all you need to do is review the relevant course information and register. It’s really that simple.
There is no deadline to register, but it’s recommended that you sign up a week in advance so that you can complete the 10 hours of required pre-work. It’s also important to note that bootcamps do fill up, and if that happens to you, you will be put on a waitlist.
Data Science Dojo doesn’t conduct interviews.
The chances of getting into Data Science Dojo are incredibly high. By design, there are no prerequisites or interviews. Truly anyone passionate about data science can enroll.
Data Science Dojo doesn’t have a job guarantee, but it does have a reputation with major tech companies. After completing the data science bootcamp, you will receive a certification to add to your LinkedIn profile. As long as you stay engaged in your job search, you should not have a problem securing a position.
There are not many job placement services at Data Science Dojo. However, there are networking opportunities available via the school’s Slack. Previous alumni of the Dojo have parlayed the school’s connections into jobs at YouTube, Groupon, Cisco, Microsoft, and Google, among others.
If you’re interested in data science at all, even if you’re a complete beginner, you should apply. It is recommended that you know at least one programming language, such as Python or R, but it’s not required, so don’t let that hold you back. Below are a few other things you should keep in mind as you decide whether to apply.
If you wish to pursue a career working with Python or some other data-related vocation, then Data Science Dojo is the perfect place to get started on your journey.
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Anonymous
The 5-day bootcamp held in Singapore was my first foray into data science or anything programming-related in fact. There was a diverse group of attendees from different industries, professions and countries. Although they commit to cover a lot for a 5-day bootcamp, the team at Data Science Dojo have delivered on their commitments. Raja was skilled in drilling down to the concepts behind the hottest topic today, engaging constantly to check for understanding. The exercises were well-designed to enforce learning and the competition element certainly pushed everyone to improve their skills day-to-day. There were no attempts to fluff things up. On the contrary, Raja together with Rebecca have demystified data science for me and made it much more accessible.
March 10, 2019
Anonymous
This boot camp was one of the best training opportunities I have ever had. what would have taken me months to get across in online tutorials or other modes was demonstrated in one week. I have confidence in adopting ML methods in my work and renewed understanding of data analysis concepts. In fact I wish I had had the chance to attend before beginning graduate school and would recommend anyone about to undertake and advanced degree or PhD that relies on data analysis to consider attending. You wont regret it.
Raja and Rebecca have deep knowledge in data science, machine learning and statistics and more importantly they impart that knowledge so effectively and easily to students. They go above and beyond to ensure foundational concepts are well understood before trying to implement them, which means as a student you not only know how to implement the tools, but why you are using them. I can’t recommend the boot camp highly enough. make no mistake, it is intense, the hours long and some of the concepts challenging , but the rewards for your efforts more than outweigh the work you will put in.
April 13, 2019
Anonymous
What impressed me most is the instructor Raja. He is brilliant! He makes a data science course more interactive than I can image. We were completely comfortable to ask any questions at any point of time. No matter how “dump” or ambiguous the questions were, Raja could tackle it well, considering both technical and business perspectives. I love the way he articulated technical concepts – simple & intuitive languages makes it effective. This inspired me. As a person, Raja is full of passion, patience and sincerity.
In addition, I enjoyed the “open discussion” atmosphere in the class. In the 5 days spent together, I got to know smart & decent classmates. All are nice memories!
April 17, 2019
Anonymous
I started the course as the person with the least data science & programming knowledge, by far. Despite my worries, I found that I was able to stay engaged all week. By learning from the instructors and interacting with the other students, I was able to really comprehend the methodologies in a way that would never have been possible while learning independently at home. I am so excited to go home and continue my studies and my relationships with my fellow alumnae. My gratitude to Raja and Rebecca stretches to infinity.
May 11, 2019
Anonymous
The curriculum has been designed in a way that everyone stands to benefit from joining this course whether you are a developer, manager or an existing data scientist. Raja’s explanations are very detailed and helps you understand the complexities around various algorithms very well which is something you may not be able to understand outside. Kaggle competition makes sure that you stay engaged for a good part of 5 days and improve your skills side by side.
June 15, 2019
Anonymous
The main benefit of attending this camp was getting a clearer idea about data science and the role of data scientist in general. It was an eye opener and helpful in so many ways. It emphasized the value of the practical experience in any domain, and how to effectively utilize data science techniques to achieve the desired business goals. The curriculum was well designed and the instructors, Raja and Rebecca, did their best to explain key concepts and keep up the class at the same level as much as possible. The Kaggle competition was a smart way to keep the class engaged and make sure that we apply the concepts learnt and get the most out of this experience. The discussions were always rich and I really benefited from the smart professionals in the class! Thank you for amazing experience..
June 20, 2019
Anonymous
I recently graduated from school and am working as a Retail Scientist. I attended this bootcamp to help me transition from the research environment to corporate where I’m working with very large data sets. I came into the camp with an understanding of ML algorithms but no practical experience. This course helped me gain confidence implementing ML models. I now feel as though I understand how select features and tune model parameters. The instructors were amazing and provided amazing resources.
July 26, 2019