Fundamentals of Data Science (Non-Technical)

Gain a hands-on approach to data and the skills and expertise you need to work better with data.

The course runs over 6 weeks and is broken down into manageable weekly topics: Week 1: Introduction to data science (Welcome and introduction to the course; What data science is and why it’s important; Creating impact from data science; Introduction to data storytelling; Understanding your rights to use data;The data spectrum; Unlocking value from open data; Gathering data) 
Week 2: Health check – Cleaning and visualising hospital data (The 4 steps of data science; Organising and cleaning data; Choosing and designing schemas; Annotating and describing data; Open data and open standards; Data formats and structures) 
Week 3: Case study – How can we improve the performance of the London Fire Brigade? (Part 1) (Filtering and pivot tables; Introduction to quantitative data analysis; Introduction to qualitative data analysis) 
Week 4: Case study – How can we improve the performance of the London Fire Brigade? (Part 2) (Data visualisation formats and best practice; Mapping open data; Narrating your story; Visual description; Practical data visualisation) 
Week 5: Rolling your own – Building a business with live data (From spreadsheets to web-based identifiers; Having a REST with API design)
Week 6: Applications; How data science creates value;The benefits of and business opportunities for applying data science within your organisation

After successfully completing the course, you’ll be able to:
  • Explain the key concepts of data science and its real-world application 
  • Classify the different types of data available and usage rights 
  • Implement an effective data collection and management strategy 
  • Prepare data for analysis 
  • Analyse a large amount of data to gain valuable insights 
  • Create data visualisations 
  • Effectively work with live data and understand the opportunities presented by cloud services 
  • Critically evaluate the challenges and opportunities arising from utilising data science within your organisation 

Education provider:  

Southampton Data Science Academy

Southampton Data Science Academy forms part of the Web Science Institute at the University of Southampton - ranked among the top 100 of universities globally.  

Developed in partnership with leading global education specialists Cambridge Education Group (CEG), the Academy bridges the data skills gap in today’s increasingly data-driven world through world-class training and education from industry-leading academics and thought leaders in the field of data science.

CEG Digital partners with prestigious, high quality UK universities to deliver online or blended courses to a global market on a part-time, flexible basis. Courses are delivered using cutting-edge, tablet friendly technology and sector leading pedagogy. 
Southampton Data Science Academy training is CPD accredited, meaning it has reached the Continuing Professional Development (CPD) standards and benchmarks.

Start dates:
  • TBA
Course fee: 1500 GBP per person, inclusive of VAT

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Chabukaisix Learn: +44 1869 717167 
Chabukai6 Ltd: +44 1869 717167

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