University of Birmingham Data Analytics Boot Camp

We'll equip you to learn data analytics in 24 weeks

Online data analytics boot camp

University of Birmingham Data Analytics Boot Camp puts the student experience first, teaching you the knowledge and skills to collect, analyse, and visualise big data.

  • Learn to turn data into insights through a market-driven curriculum that covers intermediate Excel, Python programming, JavaScript (D3.js, Leaflet.js), HTML5/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning, R, Git/GitHub, and more.**
  • Work together with your peers to tackle complex projects and get hands-on training through experiential learning opportunities.
  • Complete projects using real data sets from the worlds of finance, healthcare, government, social welfare, and more—allowing you to build a strong portfolio with a professional demonstration of mastery.
  • Receive a Certificate of Completion from University of Birmingham, showcasing you accomplishment to future employers.
  • Benefit from a wide array of career support services like CV and social media profile support, technical interview preparation, portfolio reviews, soft skills training, and coaching from our dedicated career services team to help further your career.

**The material covered is subject to change. Our academic team adjusts to the market demand.

Who should apply:

Are you a creative, curious, and ambitious individual looking to join the data revolution? If so — or if any of the following describes your situation — enrolling in our boot camp could be the opportunity you’ve been seeking:

  • You are currently a professional working with data, but are looking to advance your career by building technical skills
  • You are a manager or professional in a business where data can be used to boost your company’s bottom line
  • You have interests in visualising social, consumer, or popular trends
  • You are looking to enter a new field — healthcare, government, or media, for example — and are looking for a way to jump in
  • You are looking for a comprehensive data course that fits with a busy lifestyle or current 9-5 employment

Ready to take the next step? Apply here.

Skills you will gain:

Our curriculum is based on hands-on learning. Through an immersive classroom experience, you will dive into in-demand technologies and collaborate with your classmates to apply your new skills on comprehensive projects. These projects will become part of your professional portfolio, showcasing your skills to help you stand out in today’s job market. Over 24 intensive weeks, you’ll learn the specialised skills for data analytics, including:

Intermediate Excel

  • Pivot tables
  • VBA scripting

Fundamental statistics

  • Modelling
  • Forecasting

Python programming

  • Python 3
  • NumPy
  • Pandas
  • Matplotlib
  • API interactions

Databases

  • MySQL
  • MongoDB
  • ETL

Front end web visualisation

    • HTML
    • CSS
    • Bootstrap
    • Dashboarding
    • JavaScript charting
    • D3.js
    • Geomapping with Leaflet.js

    Business intelligence software

    • Tableau

    Advanced topics

    • Big Data analytics with Hadoop
    • Machine learning

    Employers we work with

    Programme details:

    • Class dates: The next coding programme begins 7 September 2021. The next data programme begins 19 October 2021.
    • Duration: The programme runs for six months, over two weekday evenings and a Saturday.
    • Tuition fee: The tuition fee is £7,200 including VAT including VAT.
    • Payment options: A deposit of £500 including VAT is required to secure your place in the programme. Individuals can then either pay the tuition in full by the early registration deadline to be eligible for an early registration discount or arrange a payment plan and pay in instalments. We’ve also partnered with the West Midlands Combined Authority Digital Skills Training Fund to offer a ‘Women in Tech’ scholarship to contribute to fees for our boot camp programme. Speak with admissions to learn about eligibility and how to apply.
    • How to apply: Fill out the enquiry form and a member of our admissions team will reach out to begin the application process.

    Visit our FAQ page for more details.

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