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Data Analysis: Reporting, Machine Learning and Big Data
Career Education

CPD IQ Certified | PDF Certificate Included | Level 3 Training | Comprehensive Study Materials | 24/7 Support

Summary

Price
£15.99 inc VAT
Study method
Online, On Demand 
Course format
11 PDFs and 1 Assessment
Duration
1 hour · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of Completion - Free
  • Reed Courses Certificate of Completion - Free

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Overview

Data Analysis: Reporting, Machine Learning and Big Data

This course connects Business strategy with modern Data analysis to help organisations turn Big data into clear decisions across IT systems using tools such as Google analytics. In today’s Business environment, Data analysis is essential for understanding customers, operations, and performance, while Big data platforms within IT allow companies to scale insights far beyond spreadsheets, with Google analytics offering real-time digital measurement. By blending Business thinking, Data analysis methods, Big data concepts, IT infrastructure awareness, and practical use of Google analytics, the course builds a complete view of modern data-driven organisations. Learners explore how Business goals shape Data analysis projects, how Big data flows through IT architectures, and how Google analytics supports digital Business performance.

The overview of Business reporting, Data analysis pipelines, Big data storage, IT governance, and Google analytics dashboards creates a strong foundation for advanced decision making.

What you will learn from taking this course:

  • Understand how reporting connects Business goals with Data analysis outcomes

  • Learn how Big data is structured and managed within IT environments

  • Use Google analytics as part of broader performance measurement strategies

  • Translate complex data into clear, actionable Business insights

  • Build a complete view of modern data-driven decision making

    Key Benefits You Gain from the course:

    1. A FREE PDF Certificate immediately after completion from reed
    2. Access to the course resources for life
    3. Complete tutor support is provided
    4. Simple to understand and are taught by professionals
    5. 24/7 Email and live chat assistance and guidance
    6. Freedom to use any device, i.e. computer, tablet, or mobile phone, to access the course on your own schedule

Certificates

Curriculum

This course contains

Format: 11 PDFs and 1 Assessment

Duration: 1h and 0m

Description

The course begins by examining how Business questions are translated into Data analysis frameworks, showing how Big data sources from IT systems can be structured and monitored through Google analytics and other reporting approaches. Participants learn how Business performance indicators rely on Data analysis accuracy, how Big data volume affects IT architecture choices, and how Google analytics integrates digital behaviour into broader Business intelligence. Through a structured progression, the course explains how Data analysis models scale from small Business datasets to enterprise Big data environments supported by modern IT platforms and measured by Google analytics.

The second part focuses on advanced reporting, predictive methods, and the role of Big data in shaping Business strategy, demonstrating how Data analysis insights move through IT systems and into tools like Google analytics. Realistic scenarios highlight how Business leaders depend on Data analysis to interpret Big data streams, optimise IT operations, and monitor digital performance using Google analytics. By the end, learners understand how Business growth is supported by Data analysis discipline, Big data infrastructure, IT reliability, and continuous measurement through Google analytics.

Certification

Upon completing the course, you will receive an instantly downloadable e-certificate. This certification serves as a testament to your dedication and the new skills you have acquired.

Who is this course for?

This course is ideal for professionals working in Business roles who want to strengthen their Data analysis knowledge while understanding how Big data operates within IT and how Google analytics supports reporting. It also suits those in IT environments who need to align technical systems with Business objectives through effective Data analysis, Big data management, and insights from Google analytics. Anyone involved in Business decision making, Data analysis projects, Big data platforms, IT operations, or digital measurement using Google analytics will benefit.

Requirements

There are no official prerequisites for enrolling in the Data Analysis: Reporting, Machine Learning and Big Data. It is open to all students, regardless of their background or experience level.

Career path

Career paths may include Business analyst, Data analysis specialist, Big data consultant, IT reporting coordinator, or digital performance roles working with Google analytics. These roles combine Business understanding with Data analysis expertise across Big data environments supported by IT systems and measured through Google analytics.

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FAQs

Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: Zopa Bank, Level 12, 20 Water Street, Canary Wharf, London E14 5GX. VAT Number 281765280.