WOMEN AI ACADEMY
Reinvent your career and become a Data Analyst or a Data Engineer!
Join our free class on Data Visualisation with SQL or Python!
Learn how to transform data into visual diagrams by using the programming language Python or SQL. We will jump into the topic of "data analytics" and want to display a data set, e.g. the number of users on a website throughout the day, in colorful diagrams. You only need your computer for this class!
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Introduction to AI Technology and Data Jobs
As part of our social impact activities, we invite you to join our webinars. Learn more about:
- Learning Program Details
- Your future Job Profile
- Funding hints
- General next Steps and timeline
- Student profiles
Upcoming webinars
Why do we care and why should you care?
We will explain to you our mission, vision and motivation for pursuing this project.
What are opportunities for women in AI?
We will inform you about your opportunities as a junior data engineer.
Which skills are required for different data roles?
We explain the differences between different data science roles and skills required from you.
What are common challenges faced by women?
We explain how women can address their challenges and fears about entering into a field they are new to.
Getting back on track after career break?
Maternity leave or different circumstances can affect your career. We will explain how you can get back on track with our program.
Using existing skills and build new ones
Do not underestimate your skills - they are valuable and we will explain to you, how you can transfer and combine your skills.
women ai academy founder
Naz Cilo-Van Norel
Naz is a socio-technologist, having studied Electronics Engineering and Political Science. She is a learning enthusiast and a gender-equality activist who dreams of women holding 51% of AI jobs, a Senior IoT Consultant at a big engineering company, and a professional with 30 years of engineering experience. Naz is also involved in developing an ecosystem for Ethical AI Standards as an Ethics Expert. She wants to help other women get inspired, enabled, and employed by AI jobs that are better paid, well-regarded, and highly compatible with family life.
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