Cybersecurity has been a thrusting engine that has reached new heights and has touched new ultimate horizons in machine learning, artificial intelligence, DevOps, Agility, and all the good that is happening out there. Data is the fuel for this engine we know as cybersecurity; without data, nothing could be accomplished. If you cater to this, though, you will come to know that you require data to commence processing, draw new insights from it, make some sense of it, and turn your business in new directions.
That is why the need for professionals who can cater to data, process it, analyze it and develop new technologies to help businesses and digital companies achieve new heights is increasing on a day to day basis. Data science is an emerging field and brings forth machine learning, deep learning, artificial intelligence, the creation of seamless datasets and data models, and helping businesses drive insight from the data they have at hand with BI (business intelligence) tools.
How Is Data Science Shaping the World?
Data science and the marvels it brings forth continue to change the world for good and bring new technologies and better processes to the table. New technologies are being developed and are being implemented to provide the end-users with a better experience and help the businesses streamline their operations. As elegant as it may sound, driving insight from raw data has become something of a job lately for tech conglomerates and digital businesses out there.
IoT Getting the Best of Data Science
IoT or the internet of things is a diversified concept that applies to each and every device that is somehow connected to the internet and is sharing information/data continuously. With so many mobile devices, laptops, printers, and other such items, the IoT continues to rise and take over the horizon. The IoT is getting bigger and bigger in magnitude, and the transitions that it does on the internet are not light as well; it is a rather complex system to comprehend and make a fair assessment of, and that is why well-versed expertise in data science and its interconnected domains is required to make sense of the IoT world. That is why the need for data science-compatible professionals is increasing and needs to be addressed properly.
Data science - Shaping the Digital World
You cannot begin to fathom how diversified and intense data science as a subject is and what does it bring to the table for you. Businesses are using it; it is used in cybersecurity, cloud systems, new programming languages are being designed using well-throughout concepts of data science.
Data science has thus become the thing now; it is being used in business intelligence related elements, data mining, big data, extraction of insight using machine learning, artificial intelligence, and even the SQL part of the databases bring out the use of data science at its finest. There has been emerging a dedicated space for the data science experts as data analysis, data storage, and data analytics that can be used for the business purpose continue to shape the course of the future. Machine learning and Artificial intelligence correlate with data analysis directly as a separate domain.
Data Science and Overwhelming Advises
Hopefully, all of this information might have tempted you to try your luck in this domain and want to become a data science expert/professional yourself. Many professionals and likewise associates might tempt you to begin at the very top, studying different career options you have regarding data science, taking up college once again even if you passed it out years ago, or taking up some other certification. While all of these manifestations are somewhat true but it doesn't have to be that way.
What if someone was to tell you that you can divert towards data science and become a professional without having to start things from the beginning? You don't have to re-take college; you don't have to end your career, break it down, and build a new one regarding data science. It can be done as profoundly as it should be; you can move towards data science no matter what domain of IT or cybersecurity you are serving right now, and the solution lies in you taking up a data science bootcamp.
Why Do You Need to Join a Data Science Bootcamp Right Now?
With the sudden shift in the momentum of the digital world, the ultimate technology-based needs are changing faster than you can blink. This puts companies under a lot of pressure, and that is why the trend to have a scalable and instantly available knowledge house is kicking. On the other hand, if you are a data science professional and are fed up with your current entry-level job and want to score something bigger, then it is important that you must keep yourself up to date with the latest trends that are taking place in the data science landscape.
Having easier access to the right knowledge demanded from those high-paying jobs will eventually help you find your ultimate fit and go for it right away.
This is where the idea of enrolling yourself into a data science bootcamp comes into play. You get to see all the latest trends and updates before your eyes as these happen, and on the other hand, you will be able to use all the technical resources made available to you in order to learn programming/coding. Performing data analysis, categorizing data, and building machine learning and deep learning models with the help of the data that is made available to you or is present at hand.
A Great Decision for Your Employees
These bootcamps make the employees ready for the ever-changing landscapes and provide them with some room to bring about their best version through continuously practicing and harnessing new knowledge over the subject.
This is a flexible learning model and a consistent one, unlike any training workshops that you can arrange over your enterprise. The exam that validates whether the employee grabbed all the hype properly tests the employees' caliber over their practical knowledge of the application of various IT systems rather than conforming through theoretical emphasis.
Data Science bootcamps Associated Costs
The costs are a little out of the blue for sure as you have to pay not only for training that you have received, resources that you have used but any other additional element associated with it. These costs might change depending on which specific bootcamp you are enrolled in and depending on the learning criteria. Is it an online data science bootcamp, or do they provide hands-on and in-house learning capabilities? The average costs associated with these data science bootcamps can be as close to the $5-15k depending on the specific course work that you are studying and for a given duration of time.
Salary Status After Completing Data Science Bootcamp
You can still be learning a lot of important and promotion-worthy skills while attending the bootcamp and going out there to make your mark on the corporates' hiring departments. But the point is that you will be earning quite decently after completing the data science bootcamp than you were ever before due to the lack of experience and knowledge about certain technologies.
Rest assured, you can start with some great numbers, such as starting your career as a data science professional at $75k is tempting enough. You get to notch it up a bit to almost $130k after completing a few years working as a data science professional, not only the salary boost, but you are likely to get a job promotion too.
Data Science Bootcamps Accreditation
Most of the data science bootcamps that you come around would be accredited with many universities and prestigious colleges like; Duke, George Washington, UC LA, and the University of California. It means that there is no suspicion associated with these bootcamps whatsoever; you can go on studying without any verification required.
Harvard, UC Berkley, Northeastern Illinois University, UT Austin, MIT, University of Minnesota, and Stanford are also a few names that you might come around associated with the online data science bootcamps. Mostly the online version of the learning is supported by these schools. Before enrolling, always check the certificate of accreditation and recognition from either one of these names, and then you can go about the coursework without any worries.
Best Data Science bootcamps That You Should Consider Right Now
Here is a list of 15 promising data science bootcamps that you should be considering for whatever certification or course you want to complete according to the data science, data analytics, or related aspects of cybersecurity. So, without further ado, let's get right into it:
- QuickStart
Our bootcamps will prepare you for high-paying data science jobs, whether you are interested in changing your career, getting a promotion, or upskilling yourself in emerging IT careers. QuickStart partners and is also expanding with top-notch US universities such as Northeastern Illinois University, Hofstra University, and University of Texas, Arlington. The data science boot camp from QuickStart offers access to a handful of online tools. Within a 16-28-week program, students can learn the ins and outs of data science and have access to a truly far-fetched community and mentors to help them all along the way. QuickStart offers 12-month job assistance after graduation, fully supporting the job hunt for graduating students.
Their Bootcamp programs allow students not only in the US but worldwide to land the highest-paying jobs. Based on your choice, the related cost is around 5k for a full-time course for a flexible span of 16 weeks. The ROI of investing in a 5K program is significantly ten times as the salary of data science experts varies from $65K to $100K or even more.
Enroll in our data science bootcamp and get started with your data science certification training journey. Get in touch with our experts and learn more about our data science boot camp.
- NYC data science academy
NYC data academy is more focused on nourishing the Ph.D. scholars or master's associates in data science so they can immerse themselves in a more enriching experience. The common elements that are up for grab here include; R, Python, Hadoop, GitHub, data visualization, and SQL with a primary focus built on real-world applications. You will get access to all the dedicated resources you require to train hard and come about various dedicated classifications. You will be walking away from this bootcamp with about five fresh projects on your portfolio to show to the employers and hiring managers.
- Dataquest
If you want a more hands-on and practical approach to learning, then this bootcamp is for you. It primarily works with the data science enthusiasts, and in order to thoroughly check and analyze their skillset offers a complete 24-week project-based data science program. If you want to have a career in data science under the umbrella or landscape of data science, this is the best bootcamp you should be joining. All the variables of the course and the diversified skillsets are illustrated by the instructors, and step by step guide is offered on various listed technologies that this bootcamp covers.
- RMOTR
This type of bootcamp provides you with a diversified approach. You can learn a great deal about various aspects of computer science, data science, and cloud computing in general. The main courses are crafted and revolve around Python, data science, web development, programming, Pandas, Numbpy, Scipy, Matplotlib, and Bokeh.
The program is a 'do at your own pace' type of setup that allows you to breathe in all that knowledge according to your own temper. This bootcamp's general length is about four months, which means you will have to commit yourself to about a 20 hour per week working session.
- Springboard
This is a six-month program and requires almost 10-15 hours from you every week if you are to get through with it. Student advisor, personal trainer, and a portfolio developer are some of the professionals you will get to work with to shape your career and get a Springboard membership. This is the kind of data science bootcamp that promises you a job soon after you are done with the program; you also get your hands on the interview done portfolio and a professional data science network as well. Most of the students complete this program in less than two months, and so can you.
- General Assembly
General Assembly offers both the in-house and online learning sessions to the professionals. The course catalog is extensive here, which means that there are specific coursework and certification for everyone associated with data science one way or the other. The courses can be as short as only one week and stretch all the way to a 10-12 month course; it usually depends on what course you have adapted and are working on. It doesn't matter at what stage of your career you are on the chances are that you will be able to find a course befitting that description.
- Metis
Now, this is a bootcamp that has its operations nested in various different locations such as New York and San Francisco. You are free to attend in-person data science workshops and do intensive training or just lay back and complete your coursework online. Programs offered by this bootcamp can take up to 12 weeks for completion and include on-site instruction, career coaching, and job placement to support the student so they can have all the resources they require to have a riveting career afterward. This bootcamp projects the attention of the professionals on the real-world problems, and most part of the training also covers this very element.
- Data Science dojo
In just fourteen weeks, you will be all ready to embark on a new job title and additional responsibilities that come with it. You can learn online, or you can choose to take their course in any of their dedicated Dojo locations.
Three full stacks will be covered in less than fourteen weeks. Complete access to various dedicated aspects of the workshop and other resources the professional requires to triumph in their training will be provided. You will be able to complete a full IoT project in relation to data science and can even enter a competition to prove your skillset.
- Thinkful
It provides access to a lot of resources; students can learn at their own pace and have access to a fully farfetched community and mentors to guide them throughout the way. There is something interesting going on here, something that no other bootcamp claims, and this is getting a job after you are done with this bootcamp. If you can't find a job, your whole tuition fee will be refunded, isn't it amazing? On the other hand, you are committed to about 15-20 hours of coursework every week.
- The Dev Masters
The Dev Masters bootcamp is specifically focused on the needs of the students who search for the most relevant skills needed in the market and want to explore that segment. You will be working side by side with various industry professionals, which will help you grow a handle on what you want to do in the future. You must have some knowledge of Python, machine learning techniques, and how to clean and process data effectively. You are also free to attend the 12-week Mastering Applied Data science program that will broaden your horizons with respect to data science.
- Ubiqum code academy
There are two learning options that you get with this amazing bootcamp; either join a five-month full-time bootcamp or a part-time data analyst course. Full-stack java development is the common architecture in which all of these courses are offered. You also get an employment guarantee once you are done with your coursework at this bootcamp, and if not, you will be compensated according to fifty percent of the course value you attended.
- DataCamp
This is a completely online bootcamp and is focused on working with the people who are already enrolled with the technology, finance, and healthcare to begin with. Anyone interested in data science and want to make it as the general career for them to step into the world of data science will definitely benefit from DataCamp.
This is by far the cheapest option that is available, and it goes for about $25 per month as a subscription model.
- The Data Incubators
This is the kind of bootcamp that should be on your radar if you are a data science professional who has completed their master's or even Ph.D. It focuses on more important and detailed real-world problems when it comes to data science, and the most promising aspect of this bootcamp is that it offers direct jobs or mentorship from hiring companies all around the globe.
- CareerFoundry
There are often so limited bootcamp-related options because, with the CareerFoundry, you get the quality education and teaching that can set you up for a smooth and super sailing career path. But it will also help you to take care of the modern challenges presented by the Data Science landscape.
The whole enterprise is online; the learning experience happens to be seamless and is more focused on real-world orientation.
- The Tech Academy
It might not be the most subtle name given to a bootcamp, but the services rendered to the professionals are nothing short of impressive. These are the full stack bootcamps, well rounded and teach the latest and greatest programming languages as well as other parts of the technology that the digital industry is seeking or is moving towards. There is a combination of both on-site and online training available depending on what you prefer or agree to work with.
With such an amazing list carrying more than a few options for Data Science bootcamp, you should not have any problem joining one or making up your mind to get started with data science. It is never too late. Different opportunities spring up every day. You can become available for that job as a worthy candidate by acquiring such a promising data science-oriented skillset working with either of these amazing bootcamps.
Note that you will receive a catered approach here that is customized according to whatever your learning requirements are. At the end of the day when you will leave one of these bootcamps, you will be a better person for it and would have developed a serious skillset to go about launching yourself into the digital world.
Connect with our experts and get more information on our data science bootcamps.