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Tips To Select The Best Big Data Hadoop Bootcamp Big data and data analytics are transforming businesses across various industries. This has led to a significant rise in the demand for data scientists and Hadoop professionals. In fact, the US Bureau of labor and statistics report revealed that 11.5 million data science jobs would be created by 2026. To cater to this increasing demand, many bootcamps are now offering data science training programs. What are Big Data Hadoop Bootcamps? Bootcamps are short-term, intensive programs that are designed to teach technical skills. The curriculum, layout, and duration of each bootcamp vary depending upon the bootcamp you are enrolled in. These bootcamps aim to prepare you for entry-level and junior data scientist jobs. Big data Hadoop bootcamps teach technical skills in data analysis, data visualization, predictive analytics, statistical analysis, and some other areas of programming. Besides, they help master programming
languages and frameworks, such as Python, Pandas, R, SQL, Hadoop, and Spark, helping to qualify for advanced level data science jobs. There are so many bootcamps available, but you need to consider the following things if you want to enroll in the best online Hadoop bootcamp. Part-Time Vs. Full-Time You can select between part-time or full-time depending upon the time you have and your schedule. Part-time bootcamps are ideal if you have a job. But it can take longer to complete compared to the full-time bootcamps. A part-time bootcamp may require up to 20 hours a week, while a full-time may take about 70-80 hours a week. In-Person Vs. Online Vs. Self-Paced In-person bootcamps are those which you have to attend at the bootcamp location. Here, you are assisted by the instructors and can learn in a classroom setup. In contrast, online bootcamps are suitable if you stay far away or can't go to the location. You can take the classes from your home's comfort and learn Hadoop Online through online course material and instruction. Self-paced are online, but they don't have any fixed schedule. If you are a slow learner and want the flexibility to learn, you can opt for self-paced/flexible bootcamps. Budget/Fees The fees of the bootcamps may range from $10,000 to $25,000 depending upon the bootcamp, part-time/full-time, and location. So, you need to keep in mind your budget. Some may ask for an upfront fee, while some may offer deferred tuition or ask for an Income share agreement. Make sure you take all these details before deciding. Technologies Taught and Curriculum A data scientist should know certain important technologies such as SQL, Hadoop, Python, Java, machine learning. So, you must go through the course structure and curriculum to ensure it covers relevant data science technologies such as Pandas,Seaborn, and Matplotlib, data
analysis/visualization, data manipulation, AI/Machine Learning, modeling, data preparation, text mining, etc. Student-Teacher Ratio Ideally, a teacher-student ratio below 1:10 is considered good. Fewer students in the class will mean, you get more time to ask and clear your doubts with the instructor. In addition, you must ask if you have all-day access to your instructor or not. Even if you choose an online Hadoop bootcamp, your instructor should be available whenever you need them. Instructor Profile Make sure you look at the instructors' profiles to ensure they are qualified and skilled to train in data science. Also, look for their industry experience, past achievements, etc. Your instructors should have a minimum of two years of experience in the subject. Time Given For Individual And Group Projects The program you choose should be collaborative and mimic the real- world situation. With the help of the projects and assignments, you can gain experience on how things are done professionally. So, make sure your program has enough project work and not just theory. Finally, it's essential that your bootcamp also provides job support services including, portfolio creation, mock interviews, interview preparation, group discussions and seminar with industry professionals, resume improvement, job searching workshop, exposure to tech companies, and alumni support. You need to select a bootcamp that aligns with your career goal and where you see yourself after program completion.