Program

Y-DATA offers an intensive curriculum of over 250 hours designed to equip students with the necessary skills for entry to mid-level data science positions within the Israeli tech industry.
Applications to Y-DATA Program 2024-25 are open

Start your professional journey
in Applied Data Science with Y-DATA

Structure

Y-DATA structure

01
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. All the courses are taught in an applicative and hands-on manner and include extensive practice.
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.
Projects
Become familiar with the current scientific research and advancements through research seminars, where you will also engage in in‑depth discussions and exploration of the most recent advancements in the field.
Research seminars
02
03
program

Study program

Our curriculum offers a well-rounded education in data analysis and machine learning, starting from the fundamental principles of classic ML and progressing towards the cutting-edge applications of Deep Learning and generative AI. To ensure our students stay ahead of the curve, our curriculum undergoes regular updates to align with market needs and reflect the latest advancements in the field.
In our program, you will engage in focused, short-duration courses lasting 4 to 14 weeks. Each course dives into specific topics, including Supervised and Unsupervised Learning, Deep Learning and advanced ML applications all the way to recent developments in generative AI. Our courses are designed to be hands-on and practical, enabling students to apply their knowledge through extensive practice.
Probability & Statistics for Data Science
Probability & Statistics for Data Science
Supervised Learning
Supervised Learning
Unsupervised Learning & Applications
Unsupervised Learning & Applications
1 week
2
3
4
Industry Talks
5
6
7
8
9
10
11
12
13
14
Rachel Buchuk – Industry partner of Y-DATA
Lior Sidi – Industry partner of Y-DATA
Noa Lubin – Industry partner of Y-DATA
Guy Shtar – Industry partner of Y-DATA
Segev Arbiv – Industry partner of Y-DATA
Rachel Buchuk
Lior Sidi
Noa Lubin
Guy Shtar
Segev Arbiv
3 hours * 6 weeks
4 hours * 8 weeks
3 hours * 8 weeks
Kosta Rozen
Kosta Rozen – Industry partner of Y-DATA
4 hours * 6 weeks
Python for Data Processing
Python for Data Processing
Fall semester
Rachel Buchuk – Industry partner of Y-DATA
Shaul Solomon
8 hours * 20 weeks
Deep Learning
Deep Learning
ML Foundations: Vision, NLP and more
ML Foundations: Vision, NLP and more
Research Seminars
Research Seminars
1 week
2
3
4
Advanced topics in ML: Generative AI
Advanced topics in ML: Generative AI
5
6
7
8
9
10
11
12
13
14
Rachel Buchuk – Industry partner of Y-DATA
Lior Sidi – Industry partner of Y-DATA
Noa Lubin – Industry partner of Y-DATA
Segev Arbiv – Industry partner of Y-DATA
Omri Allouche
Oren Elisha
Karin Brisker
Inbar Huberman
4 hours * 14 weeks
2 hours * 14 weeks
2 hours * 6 weeks
Intro to Industry Projects
Spring semester
3 hours * 6 weeks
Lior Sidi – Industry partner of Y-DATA
Inbar Huberman
Lior Sidi – Industry partner of Y-DATA
Noa Lubin – Industry partner of Y-DATA
Yuval Belfer
Niv Haim
Advanced topics in ML: Causal Inference
Advanced topics in ML: Causal Inference
3 hours * 6 weeks
Noa Lubin – Industry partner of Y-DATA
Daniel Nevo
Advanced topics in ML: MLOps
Advanced topics in ML: MLOps
3 hours * 6 weeks
Noa Lubin – Industry partner of Y-DATA
Ishai Rosenberg
Project Presentations
Career workshops
Applications to Y-DATA Program 2024-25 are open
Start your professional journey
in Applied Data Science with Y-DATA