Data Processing and Analytics
Every time we type a text message, post a photo on social media, order a parcel or a taxi online we generate data businesses rely on. This module will teach learners how data can be harnessed, examined, analysed and put forward effective visualisations. You will learn about programming and statistical analysis so that they can process and analyse the data produced by your organisation. Moreover, you will consider how this data can be communicated to non-experts at your organisation.
You will then be able to make productive decisions about changing the way your organisation runs.
Key Facts
- Module from the Postgraduate Certificate in Data Science
- Accreditation: CPD - Continuing Professional Development
- Duration: 10 weeks, 1 evening class per week
- Mode of Study: Live evening online classes
- Intake Dates: 16 September
- Tuition Fees: £990
(Flexible payment plans and group discounts available)
Module Contents
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Programming
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Statistical analysis
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Big Data and the Five Vs: Volume, Velocity, Variety, Viscosity, Virality
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Data clearing, data transformation and integration and data wrangling
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Data manipulation
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Exploratory data analysis, anomalies, outliers, visual inspection, box plots, histograms and dimensional reduction
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From manipulation to dredging
Key Benefits:
- Understand the key concepts of data analytics and processing
- Identify unusual patterns, anomalies and problems
- Find efficient ways to communicate data to non-experts
- Find out how to use this data to your company’s advantage
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General mathematical background. Notions of statistics, probabilities and algebra.
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Basic understanding of computations Optional: familiarity with coding (python or R) Optional: Professional experience in management, finance, IT or other
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Fluency in English
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Personal Computer with minimum:
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Intel Atom® processor or Intel® Core™ i3 processor
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1GB RAM
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4GB Disk space
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Operating systems: Windows* 7, macOS, Linux
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*This course is planned to run in September. However, it is subject to student demand. For more information, speak to one of our advisors on: +44 (0) 20 3435 4644.
