Program
Our 250‑hour curriculum was designed after analysis of the current state of data science education in Israel. Y‑DATA aims to provide the skills required for entry and mid‑level data science jobs in the local ecosystem.
Projects
Research Seminars
Courses
Choose one of the real‑life data projects offered by our industry partners, and work on it throughout the year. You will receive guidance through weekly meetings with experienced industry mentors provided by us, as well as periodic meetings with the project’s data owner.
Become familiar with current scientific research and advancements through weekly research seminars, where you will also engage in in‑depth discussions and exploration of the most recent advancements in the field. In addition, you will have a chance to present a scientific paper at one of our weekly seminars. Your presentation will be followed by a discussion of the relevance and value of this research to other students’ industry projects.
Study specific topics in data analysis and machine learning in short, dedicated courses (4-12 weeks each), covering topics across all the range from ML foundations to advanced, state‑of‑the-art applications. Courses include Supervised and Unsupervised Learning, Deep Learning, Big Data, Reinforcement Learning and more. All courses are taught in an applicative and hands-on manner and include extensive practice.
Fall Semester
Week
1
2
3
4
5
6
7
8
9
10
11
12
13
Lecturer
Kosta Rosen
4 hours
x
6 weeks
Lecturer
Rachel Buchuk
3 hours
x
6 weeks
Lecturer
Lior Sidi, Noa Lubin
4 hours
x
7 weeks
Lecturer
Guy Shtar, Segev Arbiv
3 hours
x
7 weeks
Data-driven Products
Spring Semester
Week
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Lecturer
Omri Allouche
4 hours
x
13 weeks
Lecturer
Inbar Huberman & Anna Lapidus
2 hours
x
13 weeks
or
Lecturer
Lecturer
Yuval Belfer & Niv Haim
Ekaterina Artemova
3 hours
3 hours
x
x
6 weeks
6 weeks
Lecturer
Inbar Huberman
2 hours
x
10 weeks
Project Presentations