Registration will open 1.3.24

The Most Comprehensive programme
for Upgrading Your Career

Data Analysis

Use data in order to generate business insights, and help various teams in the company solve problems through data analysis.

Training start date:

35 sessions in total

Tuesdays & Wednesdays

The programme takes place
in a classroom

30 female participants
in each cohort

A diverse women's team with a high commitment to the process and a readiness to take a leap in their career

programme Syllabus

(Changes may occur throughout the programme)

Tech Onboarding
To embark on your journey into the Data world, it’s essential to grasp both the language and the cultural nuances. Being professional is crucial, but so is adaptability. In this course, you’ll acquire valuable skills and learn how to thrive in a dynamic technological environment. We’ll encourage you to think differently about employment, equip you with data-related expertise, and demystify various working methods, terms, and concepts.
Learn to master the Structured Query Language, broadly used to query data which is stored in various rational DBs
Analyst Full Cycle
Understand the working process of Data Analyst and learn different methods and best practices used in each working phase.
Power BI
Learn to master a leading Data visualization tool, which enables to execute complex data analysis and make it available as dashboards and reports for business users.
AI 101
Learn about the key concepts and techniques of AI, such as M.L, D.P, and natural language processing.
Data Visualization & Storytelling
Practice your ability to pass on your message using data and learn how to make it simple, clear and accurate.
Final Project
Demonstrating an end to end data analysis work and builds a solid experience to be used in your career.
Self Promotion Simulation
1:1 Online Interview Simulations for each participant

Overview of the Training Team

A team of industry experts (changes may occur throughout the programme)

Hadar Brod Gdalia
Program Manager
Adi Black
Operations Manager
Mor Epel

Data Vertical Lead

Eini Petchersky
Eini Petchersky
Student Outcome
& Career Development  
Naama Zipory Abir
Student Outcome
& Career Development  
Data Register Form-SA

Registration for the programme

Do You Have Anymore Questions?

Who is the programme for?
Women working in the public sector who can commit to eight hours per week, on Tuesdays and Wednesdays from 9:30 AM to 1:30 PM.
How can you get accepted into the programme?
The selection process consists of website registration, a screening test, and a self-presentation through a video recording.
Are there any prerequisites for the programme?
The programme aims to facilitate the integration of women into professions where they are underrepresented, making it equally suitable for individuals without prior experience or technological studies.
Why Data Analysis​?
Many professionals have already defined the period we are in as the beginning of the Data era, others have already marked Data as "the new gold". Today it is clear to all that Data is everywhere and is becoming an essential tool for the growth of industries and organizations.
What are the programme requirements?
Full availability and attendance on Tuesdays and Wednesdays 9:30-13:30. High commitment to a process which includes homework that requires between one to two hours per week.
What practical skills will I acquire upon completing the course?
Besides learning the basic tools used by a data analyst, the programme allows you to acquire knowledge and working methods of those involved in the profession, along with a new way of thinking - more analytical, more critical, based on numbers.