Data & AI Course: Your First Step to a Career

Whether you're starting your journey or have experience, we offer personalized tracks that will pave your way to meaningful and successful integration in the high-tech industry.

Our program is designed for highly motivated individuals, even without prior technological background, who are interested in making a professional transition to the world of data and AI. We provide all the tools, knowledge, and support needed to become a sought-after data analyst.

Who is the course for?

The course is aimed at people with a disability of 20% or more.

Course Requirements

Good level of English (the course is conducted in English)
Basic computer knowledge
Ability for self-learning and independent work
Computer and internet access

Admission Process

Trial Course: One hour of learning on the DataCamp platform to demonstrate the learning method.
Entry Assignment: A simple assignment to test suitability for the data world, no technical knowledge required.

Program Structure

Phase A: Flexible Self-Learning (2.5-4 months)Self-paced learning through DataCamp and Kaggle platforms, with team guidance and mentoring. We recommend studying about 3 hours a day, 4 days a week. The phase ends with a personal final project (about 3-4 weeks) where you'll analyze a dataset of your choice.

Phase B: Join One of Our Three Programs (6-9 months):

TovTech Campus TovSpace TovCode

Phase C: Personal Guidance Until Finding EmploymentThe career transition process is a journey, and we're with you. Towards the end of the incubator period, after you've gained experience, we'll begin the joint job search process. We'll prepare you for interviews, improve your resume, and connect you to relevant positions.

What you'll learn

The program combines online learning, guided exercises, assessments, and practical projects. Students build foundations in Python and data analysis, with further study in AI, SQL, and machine learning depending on their learning track.

Python foundations

Programming basics, functions, and working with data in Python. Introduction to Jupyter and Kaggle.

Data analysis and visualization

Using Pandas to import, clean, combine, explore, and visualize datasets.

Practical projects

Guided analysis of real datasets, independent or paired exercises, and a final data-analysis project.

Generative AI

Large language model concepts, prompt engineering, AI-assisted data analysis, and an introduction to building applications with language models.

SQL (further study)

Relational databases, queries, joins, business-data analysis, and reporting.

Machine learning (further study)

Statistical thinking, supervised and unsupervised learning, model evaluation, clustering, and an introduction to deep learning.

The teaching team guides students through the relevant coursework and projects.

How learning works

Students combine independent online study with guidance from teachers and mentors. Learning includes individual or paired exercises, guided projects, and assessments that check understanding. Students apply their skills in practical project work and receive individual feedback.

Certificates and enrollment verification

TovTech Academy issues a certificate of completion to students who meet the program requirements.

Enrolled students can request an enrollment verification letter confirming their program, study mode, training start date, expected completion date, and current enrollment status.

"We're not a university. Our goal is to help you find meaningful work at the end of the process."

The course costs 800 NIS as a commitment fee.

Operated by טוב-טק בית טכנולוגי לאנשים עם מוגבלויות