Data Engineering/ Data Science Training Programme for Women.

Accelerated learning pathway

The Data Engineering/ Science Academy for Women is a 7 week programme designed by TechTalent Academy to prepare women for a career in Data Engineering/ Science.

The programme is open to women of all levels, any technical or career background including returners to tech. This is for women of all ages who are looking to begin or change to a career in Data Engineering/ Science. Each cohort of women will be guided through an accelerated learning pathway to help them secure a role as quickly as possible after their training.

The Data Engineering/ Science Training

The Data Engineering/ Science training programme has two study options: Option 1 is a 7 week fully remote course with one week modules. Option 2 is a part time fully remote course (up to 6 months). Both options cover the same content:

  • Python Fundamentals 1
  • Python Fundamentals 2
  • Python for Data Science – Numpy and Pandas
  • Python for Data Science – Machine and Deep Learning
  • Modelling for Data Science
  • R Studio for Data Science
  • Databases and Big Data (SQL)

Who the Programme is for and what it takes:
The Women In Data Academy is for motivated women keen to learn and passionate about working in the tech sector. You’ll need to be eager, tech-curious, a flexible thinker and you have to be ready to start full-time training.

The process is simple:

  • If you are eligible we welcome you to apply. To apply for a place, please register you interest below.
  • Interview with the TechTalent Academy team.
  • You then embark on your flexible full time training.

Prior to completion we’ll be opening up conversations with industry around opportunities for you and support you with interviews and engagement with the technology sector. We have clients ready and waiting for students completing the course. The TechTalent Academy team remain on hand as your coach and mentor for another 12 months, to ensure you are settled into your new role.

We’re passionate about equality, diversity and inclusion. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other characteristics.