London Data Science Bootcamp

Data Scientists, generally speaking, have more technical knowledge and expertise than Data Analysts. Because of this, data science positions are typically more senior in nature compared to roles that involve data analysis skills.

In BrainStation’s latest Digital Skills Survey, respondents working in data science said the objective of their work was the optimization of an existing platform, product or system (45 percent), or the development of new ones (42 percent). Unpacking their responses, we found that the work of “optimizing existing solutions” tends to fall to Business Analysts and Data Analysts, while the higher-order work of “developing new solutions” more often falls to Researchers and Data Scientists. What this suggests is that Data Scientists, who typically have more experience and more specialized expertise, are more likely to be involved in decision-making at a leadership level.

Yes, when you complete the Data Science program, you will earn a BrainStation Data Science Diploma, which can boost your LinkedIn profile and resume, helping you stand out in the job market when starting a new career in data science.

To help you become a Data Scientist, BrainStation offers some of the most competitive payment options for a data science bootcamp, with a range of flexible plans and scholarship opportunities.

These include:

• Monthly payment installments

  Allowing you to split your tuition into smaller monthly payments.

• Employer sponsorship

  Get your tuition reimbursed by your employer.

• Scholarships

  We offer a range of scholarships to make learning data science more accessible.

Once admitted to BrainStation’s Data Science program, you can expect to learn alongside like-minded, ambitious professionals who have taken the step to transform their skills for a new career in data science.

Professional backgrounds vary quite a bit in the Data Science Bootcamp, as demand for data scientists and data science skills has surged across a range of fields and industries, including finance, marketing, mathematics, engineering, statistics, web development, IT, and more.

80 percent of BrainStation students have a post-secondary education, with 20 percent having earned a Master’s degree or PhD.

Students in the Data Science program use Python, R, Hadoop, Tableau, and more to learn statistical methods and data modeling, including regression techniques, machine learning, data visualization, and more.

BrainStation's Data Science program is an intensive, full-time learning experience, delivered in 12 weeks. The Data Science program builds on past educational and work experiences to transform skill sets and prepare students for a new career in data. Throughout the program, students develop and complete five projects and one major portfolio piece, using real-world data science and data visualization techniques. By the end of the program, graduates will have the skills, experience, and portfolio needed to land a job in data.

BrainStation’s Data Science course, on the other hand, is a flexible, professional development course offered part-time, over 10 weeks. Taught by industry experts, the Data Science course is a project-based, hands-on learning experience, allowing you to develop data science skills and learn the latest data tools and technologies.

Because the work Data Scientists do touches so many different industries and disciplines, the roles Data Scientists can fill go by many different names, including:

• Data Scientist
• Data Analyst
• Data Architect
• Data Engineer
• Statistician
• Database Administrator
• Business Analyst
• Data and Analytics Manager
• Researcher
• Machine Learning Engineer
• Quantitative Analyst

Many other variations exist and these will continue to evolve as data science becomes more prevalent.

BrainStation’s Career Success Team is dedicated to creating a learning experience that extends far beyond the classroom, providing a framework for success built on insights and input from technical recruiters, career coaches, BrainStation Educators, and alumni.

The team will help you refine your portfolio, connect you with industry professionals, prepare for the career search and interview process, and showcase your work to peers and hiring partners.