Switching to Data

What is Switching to Data?

It is the gold-standard online training experience for values-driven intellectuals who want to build a meaningful and profitable career in Data.

Whether you’re working an unfulfilling career or, doing a Postdoc or finishing your PhD, our step-by-step training gives you all the tools and support you need to fast-track your career — saving you years of expensive trial and error.

We’ve all been there…

From the outside, it might seem like we’re living the dream.

But deep down, we know the reality:

  • long working hours,
  • constant pressure to deliver,
  • and a career path that feels like a dead end.

And when I remember all those years pouring countless hours into studying and assignments grinding through exams, to just end up asking myself:

Is this position actually my dream job?

Where’s the work-life balance, the sense of accomplishment, the freedom to pursue your passions outside work?

Seriously, was this the dream I signed up for after all those years of after all those years of higher education (undergrad, masters or even PhD work)?

Heck. No.

Switching to Data helps women like you transition into exciting careers in Data Science and AI. We’ll take your current skills and educational background and show you how to translate them into the perfect data science (or AI) skillset.

By the end of this program, you’ll be a confident and prepared data science (or AI) candidate ready to shine during interviews and land your dream job.

Ready to ditch the career blues and embrace a data-driven future?

How does Switching to Data Works?

Join Lina in live 1:1 personalized 1 hour weekly trainings during 12 weeks.

Every week You will get:

The core four pillars of transitioning to Data.

Done-for-you swipe files, resources, and templates.

Access to exclusive dedicated consulting sessions with Lina.

Lifetime membership to our Community to continue building your network.

Plus…

An all-in-one dedicated dashboard with the training available in Notion.

Complete the live program, then revisit and review the material as much as you want.

The training modules and bonus resources will be yours forever.

Is Switching to Data for me?

This program is for you if…

  • You’re a professional women who feels stuck in a rut, longing for more stability and career growth.
  • You dream of a career that offers a chance to truly use all your skills.
  • You’re fascinated by the potential of data science and AI, and you’d love to apply your current background to these exciting fields.

This program is NOT for you if…

  • You’re looking for a quick fix or a magic bullet. This program requires dedication and effort, but the rewards are absolutely worth it!
  • You expect someone else to do the work for you. This is your career transformation, and you’ll be the driving force behind your success.
  • You’re not comfortable with diversity. We celebrate our differences here! This program thrives on a mix of nationalities, experiences, and perspectives.

Can I see reviews from other women who’ve worked with you?

TOPICS COVERED

Module 1

What are Your Options in Data?

At the end of this module, you will know your dream job and what you really need to focus on to get there.

Here is what you will learn in this module:

  • The available career options under the Data+AI umbrella.
  • How to answer the two most relevant questions: what do you want to do and why?
  • How to choose a career in Data that goes beyond the typical Data analyst, Data Scientist or working on Business intelligence.
  • What are your most relevant transferable skills?
  • How to translate your skills into keywords for the industry.

This module is about showcasing your technical skills with a portfolio and be ready to apply for Data jobs. Also, at the end of the module, you will have a personalized learning path so you know what will come next if you want to expand your Data knowledge. In this module, you will learn:

  • How to Create a Portfolio for Data?
  • The best options (free or with cost) to open your Portfolio and make it easily accessible for recruiters or sharing with your network.
  • What projects to include in your Portfolio to make it stand out from the rest.
  • A list of selected projects to give you inspiration for your own portfolio.
  • You will get a personalized learning path to continue expanding your knowledge in Data.

Module 2

Build an Outstanding Portfolio

Module 3

Craft the best resume

This module is one of the last steps in your transition to Data. You will be ready to start applying to data roles and get interviews. In this module, you will learn:

  • The real difference between a CV and a resume.
  • How craft the best resume.
  • The different types of resumes and which one you should choose.
  • What are the current practices used by companies to filter resumes?
  • The difference between applying to a big Tech company and applying to a Tech Startup.
  • Bonus: Learn the leading platforms dedicated to connecting startups with top talent.

This module is the last step for your transition to Data. Learn how to confidently ace the interviews. In this module, you will learn:

  • How to present yourself and how to highlight your skills.
  • Strategies and tactics for acing interviews with recruiters and hiring managers.
  • What to reply to the common question, “Why are you leaving your current role/industry?”.
  • What to reply to the other common question of “What are your salary expectations?”.
  • To use data and geographic location to inform your salary requirements.
  • Bonus: Get personalized feedback about your resume.

Module 4

Ace the interviews

Option 1
One-time fee

1110€

One-time payment

Option 2
Payment Plan

1200€

Billed as 200€/month x 6 months

🌟 Facing financial limitations that might prevent you from joining? Don’t let that stop you! We have a scholarship program designed to help in select circumstances. Learn more and inquire about eligibility by using the contact button below.

🤗 Want to join the program at a discounted price? Just Bring a friend. Reach out for more details.

Still have questions?

Scroll to Top