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Big Data Analysis

  • Overview ImageOverview
  • Outline ImageCourse Outline
  • Scheduled ImageScheduled Dates

Course Overview

Big data analysis refers to the process of analysing and extracting insights from large and complex data sets that are too big to be processed by traditional data processing tools. Big data analysis involves using advanced technologies and statistical algorithms to extract useful information from massive amounts of data, often collected in real-time from various sources such as social media, sensors, weblogs, and transactional data.

Big data analysis aims to identify patterns, trends, and correlations that can be used to make informed decisions, optimise business operations, and gain a competitive advantage. Some common techniques used in big data analysis include data mining, machine learning, natural language processing, and predictive analytics.

Objective:

The key benefits of the Big Data Analysis Course are as follows:

  • Improved Data Analytics Skills
  • Career Advancement
  • Better Decision Making
  • Competitive Advantage
  • Increased Earning Potential

Overall, taking a course on big data analysis can provide individuals with valuable skills and knowledge that are in high demand across many industries, leading to improved career prospects, better decision-making, and a competitive advantage for their organisations.

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Course Outline

Day 1 – Introduction to Big Data & Big Data Analysis

  • Understanding Big Data & its Importance
  • Characteristics of Big Data
  • Data Analysis and its role in big data

Day 2 – Big Data Technology

  • Introduction to Big Data Technologies
  • Hadoop and its ecosystem
  • Spark and its ecosystem

Day 3 – Data Storage and Retrieval

  • Data Storage and Retrieval technologies
  • NoSQL Databases (MongoDB, Cassandra)
  • Distributed File Systems (HDFS, Amazon S3)

Day 4 – Data Processing and Analysis

  • Data Processing analysis technologies
  • Data Modelling and preparation
  • Data Analysis Techniques (statistical analysis, machine learning)

Day 5 – Data Visualisation and Business Intelligence

  • Data Visualisation and its importance
  • Visualisation tools and techniques
  • Introduction to business intelligence and analytics
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Schedule & Fees

3 For 2Offer

Get the most out of group training with our special discount! Register 3 of your participants together on the same course and only pay for 2.

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London

London

$4,900


Duration: 5 Days

date: 06 - 10 Jan 2025

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London

London

$4,900


Duration: 5 Days

date: 07 - 11 Apr 2025

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London

London

$4,900


Duration: 5 Days

date: 04 - 08 Aug 2025

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London

London

$4,900


Duration: 5 Days

date: 01 - 05 Dec 2025

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  • Innovation and Artificial Intelligence (AI)

Big Data Analysis

Duration:5 Days

date:06 - 10 Jan 2025

London

London

$4,900


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    All our courses are accredited by the CPD Standards Agency

Frequently Asked Questions

How can training courses be used as a company benefit?

Training is hugely beneficial to both yourself and your company. It enables you to employ new technologies, increases your productivity and enables you to be more autonomous. Have a look here at our infographic on the importance of training and development!

How often do you update your course content to ensure relevancy?

Our course content is constantly reviewed and updated to ensure we stay up to date with all the latest trends. After every course is completed we review the feedback and improve the material where necessary.

Do you keep your classroom environment and instructional methodologies current with today’s real-world workplace?

Yes, we focus our training on ‘real-world’ scenarios and our trainers are all highly experienced and skilled in their relevant fields.

Are your courses eligible for professional certification?

Yes, we offer certification with all our courses, every course is entitled to CPD (Continuous Professional Development) hours which you can put towards your professional portfolio.

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Big Data Analysis

  • United KingdomLondon
  • calendar06 - 10 Jan 2025
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  • United KingdomLondon
  • 06 - 10 Jan 2025
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