Develop new skills for a successful career in Data Science!

Our diverse Data Academy is a full or part-time data programme aimed at upskilling individuals to an entry-level standard. We have developed the course content based on industry, academic and the skills required for real-world problems.

The course has taken into consideration all the critical skills necessary to ensure that our graduates gain the skills they need for a long-term career in tech. We focus on getting our graduates are job-ready with hard and soft skills, including communication, collaborative working, creativity, problem-solving and the ability to work to deadlines in an agile environment.

During the Data Academy students will earn: BCS Foundation Certificate in Machine Learning. On completion of the BCS certificate students will receive a free 1-year Associate Membership to BCS.

Course Dates – Data Academies (DfE)

  • 12 Weeks – 27/09/21 – 10/12/21 | Sponsored by UST with guaranteed interview (London & Notts)

  • 12 weeks – 27/09 – 14/01/22 Yorkshire & Nottingham

  • 16 Weeks – 11/10/21 – 28/01/22 – North East

Learn the latest skills like Python, AI, Machine Learning,
Cloud and more.

Get ready for a career in high demand areas like Data Science or AI.

Earn a qualification from BCS

Build your network with peers and industry professionals.

Modules

Each module has either a practical project or tasks to demonstrate skills. Either of these approaches provides the delegate with the opportunity to demonstrate their understanding of the topic.

Modules include:

  • Python Fundamentals
  • Data Science with Python: Introduction to NumPy and Pandas
  • Data Science with Python: Introduction to Algorithms, Machine and Deep Learning
  • Introduction to Modelling and Data Visualisation
  • Big Data & Databases (SQL)
  • Data Science with R Studio

Learning objectives:

  • Fundamental understanding of programming and the different techniques through Python and various industry-standard libraries (NumPy, Pandas, Sci-Kit Learn, TensorFlow, Altair, Matplotlib and Seaborn).
  • Apply algorithms to build machine intelligence.
  • Using data visualisation techniques through R.
  • Recognise and analyse ethical issues of cloud computing, data security and artificial intelligence.
  • Demonstrate knowledge of statistical data analysis techniques through data analysis.
  • Apply principles of Data Science to analyse problems.
  • Use data mining techniques to solve real-world problems.
  • Developing databases suitable for containing big data by using SQL.
  • Developing teamwork, leadership and decision making/problem-solving skills.

Eligibility for a free/fully-funded space:

  • Live full time in the West Midlands, Yorkshire & The Humber or North East of England areas (postcode dependant)
  • MUST be looking to move into a tech role within 3 months of finishing the academy
  • Be fully committed to starting a career in tech OR moving into a tech function with your current employer
  • The right to live and work in the UK
  • Have a National Insurance number
  • Can engage with the course sessions and commit to completing the course
  • Have not already completed a TTA funded academy
  • Possess computing equipment (laptop or computer only) and steady internet connection to undergo the training

The process is simple:

  • Apply
  • Interview – Interview with our Talent Team to assess your suitability for the course.
  • We’ll let you know whether you are successful and if so you onboard and start your course.

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.

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