Fundamentals of Data Science (Non-Technical)

Description
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. 

About the course: https://southamptondata.science/courses/fundamentals-of-data-science-non-technical.htm

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:
  • 22 February 2021
  • 26 April 2021
  • 28 June 2021
  • 11 October 2021
Course fee: 1500 GBP per person, inclusive of VAT

Enrol: https://southamptondata.science/enrol/apply.htm
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