Professional/Short Course Big Data Skills & Training Course (DETI)

Entry year
2022/23
Course code
Z51000175
Application
University
Level
Professional/Short Course
Department
Engineering Design and Mathematics
Campus
Frenchay
Duration
2 weeks: 1 hour online and several hours of pre-recorded materials, plus an assessment.
Delivery
Online
Course Director
Dr Kamran Munir

Page last updated 30 June 2022

Introduction

In line with fulfilling the needs of the Digital Skills requirements in the Engineering sector, UWE-DETI with its partner companies are organising a free, virtual/online skills and training CPD course. This is to help manufacturing companies and workers visualize the possibilities of the future with digital tools and skills alongside the career pathways required. Thereby creating pathways for training and education to enable digital skills application in the manufacturing sector.

Bringing these future jobs to life can help business leaders, workers, educators, and policymakers shape their vision and inspire conversations around the changes needed to adopt digital technology.

This course supports the learning and the development of skills to breach the huge skills and employment gap in the UK for current and future Engineers of the workforce through DETI delivery programmes.

The digital skills enable quick adoption of digital technology to deliver remote productions and monitoring systems to keep important production lines working effectively. 

The Big Data course will introduce Big data concepts and its applications.

Big Data refers to the analysis of large datasets to discover trends, correlations, or other insights not easily visible with smaller datasets or the conventional processing methods. With the high rate of adoption of sensors and connected devices with the internet of things, there has been a huge increase in the data points created in the manufacturing industry with the rise in data availability.  

Big data in manufacturing can discover new information and identify patterns that enable businesses to improve processes, increase supply chain efficiency and identify variables that affect production.

Who is it for?

The skills and training course is open to all applicants seeking a pathway to a digital career.

This course is designed for learners with a technology, computer science or engineering background, who are in their early career looking to specialise into digital engineering, or those currently working in these sectors and looking to develop their existing skills. That includes, students, graduates, apprentices, technicians, engineers, operators, and anyone interested in upskilling or reskilling their knowledge in the subject area.

We'd particularly like to encourage those who are recently unemployed, self-employed, looking to move into a new job role, or coming out of furlough to sign up.

Entry requirements

Participants will be required to have a good knowledge of basic computer literacy skills, be committed to completing the modules and assessment and be able to take part in the course delivery format and subject matter. In addition:

Be aged from 19 years of age and above.

Agree to provide mandatory personal data and supplementary information on their jobs, education and give feedback on the course delivery.

Structure

Content

Introduction to Big Data

  • Defining Big Data and sources of Big Data
  • The four dimensions of Big Data: Volume, velocity, variety, veracity
  • Big Data applications/examples in business
  • Delivering business benefit from Big Data
  • Establishing the business importance of Big Data

SQL Databases vs. NoSQL Databases 

  • Understand the growing amounts of data 
  • RDBMSs ACID, and Introduction to NoSQL databases
  • Understanding the difference between a relational DBMS and a NoSQL database
  • Identifying the need to employ a NoSQL DB
  • Overview of Hadoop and Related Technologies 

Data Quality

  • Metrics and Measures: Why are the metrics and measures important for data quality estimation and how to select appropriate and relevant metrics for a project?
  • Tools and Techniques: How to estimate data quality using some of the current tools and technologies? How to use the tools and advantages/disadvantages of various tools.

Knowledge Retrieval

  • Knowledge Extraction: Types of knowledge
  • The lifecycle of knowledge extraction from big data
  • An overview of core principles and techniques used to extract knowledge, for example, classification, clustering, and regression analysis.

Learning and Teaching

This course is organised as an interactive session with a lot of information and practical activity targeted at helping you understand the basics of big data, data storage processes and data collection process to keep you up to date with the trend of growing technology in the area.

Learning objectives:

  • Capability to understand and identify the characteristics of different datasets and compare the small data and big data for a variety of applications.
  • Ability to collect, store data and determine the appropriate machine learning technique for data analysis
  • Ability to recognize the big data characteristics like high dimensionality, dynamically growing data, and certain scalability issues.
  • Ability to learn and understand the machine learning techniques with other computing technologies.
  • Ability to integrate machine learning libraries and mathematical and statistical tools with modern technologies like hadoop and mapreduce.

Features

Study facilities

UWE Bristol has invested significantly in online resources to support your blended learning study. We use the 'Blackboard Collaborate' online platform to deliver an integrated learning experience to you and, in addition, you also have access to a vast number of professional and academic journals and databases online through the UWE Bristol Library.

Prices and dates

Supplementary fee information

Course dates 

Please note that you will be expected to make a commitment to self-study activity of approx. 5 hours for the entire session and 1- hour of live online introductory course.

Cohort TBC/ 2022TimeLocation
TBC/2022: Induction10:00 - 11:00Online via Microsoft Teams 
Self-study session 1: Overview of Big Data22minsOnline
Self-study session 2: Business Application of Big Data27minsOnline
Self-study session 3: Knowing SQL and NoSQL20minsOnline
Self-study session 4: Overview of Knowledge Retrieval32minsOnline
Self-study session 5: Knowledge Retrieval Classification27minsOnline
Self-study session 6: Introduction to Data Quality36minsOnline
Final session: Assessment 1 & 220mins for each part: 1 & 2Online

Presentation and reference materials available online.

Course fees 

Places are fully funded by DETI for applicants who meet the entry requirements. Please see 'How to Apply' below

The cost of this course is free but must be completed, including the assessment, by the TBC/ 2022.

How to apply

How to apply

Once booked on the course, you will be registered as a UWE Bristol student and issued a UWE Bristol email and password, to enable access to the required online resources.

To be added to our waiting list for these courses please complete the 'Enquire Now' form below.

Cohort  
TBC/2022Booking is now closedEnquire Now

For further information

  • Email: Please contact us using the online enquiry form above.
  • Telephone: +44 (0)117 32 81043 (option 1, then option 3)