DATA SCIENCE BOOTCAMP

FAQ

• What is the difference between Data Analytics and Data Science?

  Data analysts use past data to draw meaningful insights, identify trends, develop charts, solve problems and help businesses make more strategic decisions. They analyze well-defined sets of data using different tools to answer tangible business questions.

  Data Scientists estimate and predict the unknown by asking questions, writing algorithms, and building predictive models to help businesses make more strategic decisions. Data scientists are typically tasked with designing data modeling processes, as well as creating algorithms and predictive models to extract the information needed by an organization to solve complex problems.

• What type of job can I expect to get after graduating from the Data Science Bootcamp?

  The relevance of data science skills to a career goes beyond traditional roles like data analysts and data scientists. Because of the increased digitization of practically every industry, and the explosion of available data, being well-versed in data can be a lucrative skill for nearly everyone.

  Depending on the performance of our graduates during Bootcamp and their previous related experiences and education, our successful grads will be equipped for any of the following roles at a junior level:

  • Data Scientist
  • Data Analyst
  • Data Systems Developers
  • Machine Learning Engineers
  • Data Ops / Engineers

• Will I get a job after the Data Science program even if I have no prior background?

  Yes! You don’t need any experience in data science to succeed and be connected to employment afterward. This program will provide you with everything you need to work as a professional data scientist at an entry-level or junior position.

• Do I need to have experience in programming languages to take this Bootcamp?

  No previous data science, data analysis, or programming experience is required to attend Lighthouse Labs. As with our Web Development Bootcamp, every student needs some serious grit to excel (ha!) here, as well as a commitment to teamwork and a genuine interest in building their future career in business.

• How do Bootcamps compare to traditional education, like a Data Analytics / Data Science degree?

  The Bootcamp educational model is built very differently from the way you learned in high school and/or university. Lighthouse Labs, practices a flipped, immersive model of education that puts the emphasis on the development of practical skills through building real-world applications using an incremental and cumulative collection of tools and best practices.

  Lectures take up a maximum of two and a half hours on any given day, with another eight to ten hours being spent each day working in a lab setting. You can expect to introduce yourself to new concepts through readings and exercises, getting your knowledge bolstered and backfilled with lectures throughout the week.

  It is our core belief that 70% of the learning should be done on the job and we’ve tailored every part of our program around it. Our curriculum is constantly iterated and updated by a community of passionate data science mentors based on feedback from employers, students, alumni, and industry trends. We won’t teach you everything about Data Science (that takes years of practice), but we will give you the foundation so you can continue learning in your new career as a Data Scientist as quickly as possible.

• Why is there a Prep Course before the start of the Bootcamp?

  The first step to becoming a data scientist is laying your basic foundation with our Prep Course. The 70 hours you’ll spend on completing preparatory work will introduce the basic technologies you’ll use to get you ready and set to learn in the classroom on Day 1.