Executive Education

Data Analytics Boot Camp (Boot Camp / Online and Face to Face Learning)

24 weeks
24 weeks
Visit this course's homepage on the provider's site to learn more or book!

Course description

Data Analytics Boot Camp (Boot Camp / Online and Face to Face Learning)

The Data Analytics and Visualisation course provides students with the knowledge, skills, and expertise to turn Big Data into Bigger Answers. Starting with Microsoft Excel⎼and advancing through Python, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Hadoop, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and more⎼students work their way through the industrys most popular programming languages, software, and libraries in data analytics.

Suitability - Who should attend?

  • You must be over 18 years of age.
  • You must have a GCSE grade A-C or 9-4 in Maths.
  • You must have passed the admissions interview, coding test and academic interview.

Is the programme right for you

  • 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

For more information about admission requirements, please visit the university website.

Outcome / Qualification etc.

  • University of Birmingham Data Analytics Boot Camp puts thestudentexperience 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 ofcareer support serviceslike 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.

Training Course Content

Module 1:

Excel Crash Course

Learn to do more with Microsoft Excel. In this module, well cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. Youll even learn to model historic stock trends -- and hopefully, learn to beat the market!

Module 2:

Python Data Analytics

Gain a strong foothold in one of todays fundamental programming languages. In the course of this module, youll gain deep proficiencies with core Python, data analytic tools like NumPy, Pandas, Matplotlib, and specific libraries for interacting with web data like Requests and Beautiful Soup.

Module 3:


Work with PostgreSQL and MongoDB to organize data into well-structured and easily retrievable data formats.

Module 4:

Web Visualisation

Building visualisations are of little benefit without a way to communicate the message. In this module, youll be learning the core technologies of web development (HTML, CSS, and JavaScript) to create new, interactive data visualizations that you can share with everyone on the web.

Module 5:

Advanced Topics

By programmes end, youll be immersed in new and in-demand topics like Tableau, Hadoop, and Machine Learning.

Module 6:

Final Project

Bring everything that you have learned in class altogether to create an impressive data-visualization application with a small team. Get creative and come up with something cool to show off to the whole world!

Course delivery details

Time commitment: 10-12 hours per week

Continuing Studies

Career services

You will have access to career services that will help you prepare for technical roles after graduation such as: Career content and practice sessions; Online career events with industry professionals; Soft skills training; One-on-one career coaching

University of Birmingham
B15 2TT Birmingham West Midlands

University of Birmingham

The University of Birmingham has been challenging and developing great minds for more than a century. Characterised by a tradition of innovation, research at the University has broken new ground, pushed forward the boundaries of knowledge and made an impact...

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