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The role of a Data Analyst is to process and analyze a variety of data in order to derive vital business insights, thereby helping the organization understand the bigger picture and make data-driven decisions.
Imagine a mystery at Netflix or Wolt: users spend more time on the app, but the percentage of orders drops. What is the data trying to tell us? This is where the Data Analyst comes in. By analyzing user behavior and leveraging advanced AI tools, they break down the customer journey, identify unresolved issues and unmet needs, and guide managers on how to improve the product.
In a world where the volume of information grows at a dizzying pace, analysis is no longer limited to spreadsheets alone. Today, AI tools allow analysts to explore complex data – from text to video and images and extract accurate insights in real time, driving a steadily rising demand for analysts who understand this.
The Data Analyst Course by Google and Reichman University Tech & AI School was built with the goal of training the finest Data Analysts and providing participants with high-quality, up-to-date training tailored to industry needs. Following 6 cohorts and the successful placement of graduates in leading companies such as Mobileye, HiBob, Payoneer, WIX, Taboola, and more, registration is now open for the 7th cohort.
As part of the course, you will learn to utilize various AI tools and develop personalized skills that will help you explore data, boost productivity, and deliver high-quality outputs faster and smarter.
During the course, you will learn to work with large and complex databases, analyze user behavior, identify unmet needs, define precise metrics and KPIs, and build Data Storytelling based on scientific methodologies.
The course includes training in the leading technological tools in the field:
Gemini Pro, BigQuery, Data Studio Pro, Vertex AI, Python, and additional cloud technologies. Learning is conducted by integrating advanced technologies, aiming to prepare you for working in leading teams and driving data-driven processes within organizations.
Beyond learning the tools, emphasis is placed on developing essential Power Skills: practical preparation for job interviews, public speaking, and presenting to decision-makers. The final project will be executed using real data and presented to managers from leading companies a hands-on experience that gives you a competitive edge.
In the course, you will learn how to adopt Life-Long Learning – an essential skill, especially in research-based professions like analytics, where technology is constantly evolving.
Syllabus
Start Date: 15/12/2026
Combination of In-Person and Online Learning:
Lectures, enrichment workshops, practice sessions, and practical projects.
*Subject to changes
Task from the program's field. *no previous experience required
Few days to submit
Online test that checks learning abilities and English level
2.5 hours
An opportunity to meet in person
30 min
How exciting! Now is the time to arrange payment/ apply for a scholarship
We are looking for talented and high-potential individuals who wish to enter the tech industry as Data Analysts. During the screening process, we will identify candidates with motivation, commitment, real logical thinking ability, independent learning capability, and suitability for the industry.
*No prior experience is required.
The program is suitable for those wishing to study and work simultaneously. However, it is an intensive program requiring attendance at classes and submission of projects. As such, it is designed for individuals who can focus on learning and dedicate additional hours beyond class and practice sessions.
*Attendance in classes is mandatory.
*We recommend coordinating in advance with your workplace.
Upon completing the program and fulfilling all required program assignments, you will receive a certificate of completion on behalf of Google and Reichman University.
The program prepares you for entry-level (Junior) roles in the data field. It is important to us to provide all participants with the knowledge, skills, and tools required for success in the Israeli tech industry. Additionally, we provide personal support and guidance during job interview preparation and industry placement. Your success is our success.
High motivation and willingness to invest in the learning and professional development process
Affinity for technology and data, and a desire to enter the tech industry
Creativity
Good command of Mathematics, Hebrew, and English
Operations in the tech industry are conducted almost entirely in English, even within companies operating in Israel. The same applies to writing code and reports. Therefore, participants must have an English level that allows understanding and implementing the studied material.
The course price is 29,000 NIS including VAT.
As part of the commitment by Google and Reichman University to promote equality and advance the integration of high-quality, skilled, and diverse talent into the Israeli tech industry, we offer a variety of scholarships covering 60%–94% of the tuition for candidates who meet the program's admission criteria and are deemed eligible by the scholarship committee.
Tuition scholarships will be awarded to suitable participants, including underrepresented populations in the tech industry, individuals from the socio-geographic periphery, and/or those with challenging socio-economic backgrounds who wish to integrate into the tech industry for the first time and work in the field.
Eligibility for scholarships will be assessed after acceptance into the program—dependent on success in technical tests and personal interviews.
Those interested in a scholarship will be required to submit an application via an online form.
The scholarship committee reviews each case individually, and decisions will be provided after acceptance into the program.
In certain cases, living stipends during the training period will be awarded based on the scholarship committee's recommendation. The living stipend amount varies based on the participant's socio-economic status.
You will only be required to pay full or relative tuition after official acceptance into the program.
Payment in installments will be available subject to tuition regulations.
Double scholarships or promotions do not apply.
Toward acceptance into the program, the option to submit a scholarship application will open. Eligibility for the scholarship will be evaluated and approved by the school's scholarship committee.
A combination of in-person and online learning:
Tuesdays, 9:00–17:00, in-person classes.
Thursdays, 16:00–20:00, online classes.
View the syllabus
Filling out a questionnaire accompanied by: CV and/or LinkedIn profile, and transcript / high school diploma.
Tests evaluating skills and thinking abilities, alongside a home assignment.
A personal interview with the school staff.
