| | Oleksii Khomov | NYC Data Science Academy’s program covers more material than any other leading bootcamp. Curriculum is created with long-term professional development in mind, while at the same time being incredibly “up-to-date” with all the latest developments in the industry. Thanks to the things above, bootcamp positions students for immediate success right after the completion of the program, while keeping on serving their career in the long run. In other words, NYC Data Science Academy’s curriculum includes some extra components, which are essential for getting a job at the top companies in the industry (e.g. FAANG).
In addition to the core of the program, NYC Data Science Academy also offers practical and extensive preparatory material (already included in the price of the bootcamp). Thanks to these materials students are capable of building a strong foundational knowledge of the core material, and as a result, have a much easier time during the program.
One of the greatest advantages of the NYC Data Science Academy’s bootcamp is the group of extraordinarily supportive teaching assistants. Since 100% of teaching assistants are former bootcamp students, they possess a unique understanding of anything that current students are going through at any given moment.
Another pivotal part of the program is its amazing collective of instructors, most of whom possess advanced degrees and multiple years of industry experience. No other place creates such a remarkable mix of academic and industry knowledge that allows students to not only learn how to code but to understand the underlying principles of the scientific and business processes.
Last but not least, is the selection of projects that students have a chance to complete during the bootcamp. These projects not only allow students to apply newly-learned coding techniques but also push them to solve “real-life” problems and to create industry-specific practical solutions. Bootcamp has a healthy mix of individual and group projects, which gives students a chance to work with different kinds of dynamics, and most importantly to learn from fellow students.
Overall, the unique selection of material, amazing teaching and supporting staff, along with the ability to be among a diverse group of people with all sorts of professional backgrounds is what distinguishes NYC Data Science Academy from the rest. |