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Learn Data Analysis: Reporting, Machine Learning and Big Data
Learning Facility

PDF Certificate Included | Level 3 Training | CPD IQ Accredited | Lifetime Access

Summary

Price
£21.99 inc VAT
Study method
Online, On Demand
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

Learn Data Analysis: Reporting, Machine Learning and Big Data

Unlock the power of data with Learn Data Analysis: Reporting, Machine Learning and Big Data. This course provides a comprehensive introduction to data analysis, Big data management, and the principles of Machine Learning. You will explore how data analysis can uncover insights from complex datasets, and how Big data technologies allow organizations to handle massive volumes of information efficiently. The course also delves into Machine Learning techniques, showing how predictive models and algorithms can drive smarter decision-making. By combining data analysis, Machine Learning, and Big data skills, this course equips learners to confidently interpret data, design reports, and leverage analytics for impactful results.

Through practical exploration of reporting tools, data analysis workflows, Machine Learning applications, and Big data frameworks, learners will gain a clear understanding of how to transform raw data into meaningful insights. Whether you are curious about data analysis or aiming to apply Machine Learning to large-scale Big data, this course covers the essential concepts, methods, and tools to navigate the modern data landscape.

What you will learn from taking this course:

  • Master core concepts of data analysis to interpret and present datasets effectively

  • Understand how Machine Learning models work and can be applied to real-world problems

  • Gain insight into Big data technologies for handling large-scale datasets

  • Develop the ability to integrate data analysis, Machine Learning, and Big data strategies for business impact

Through this course, you will gain access to a range of training materials that are available online, allowing you to learn at your own pace and on your own schedule. By upgrading your skills and knowledge, you'll be better prepared to succeed in today's highly competitive job market, and position yourself for future growth and advancement. So if you're ready to take your career to the next level, enrol in this professional skills training course today.

Key Features of this Course

  • Free PDF Certificate Included
  • Instant Access to the course materials
  • Lifetime Access

Certificates

Certificate of Completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

3
sections
12
lectures
1h 1m
total

Course media

Description

In this course, you will dive into the fundamentals of data analysis, learning how to clean, visualize, and interpret datasets to generate actionable insights. You will explore how Big data platforms enable the storage, processing, and analysis of massive data streams, and how Machine Learning models can predict trends and automate decision-making. The course covers reporting techniques that make data analysis results accessible and impactful for business strategy and operations. By combining these skills, learners develop a holistic approach to data analysis, integrating Machine Learning insights and Big data capabilities to drive efficiency and innovation.

You will also gain an understanding of advanced Machine Learning methods, including supervised and unsupervised learning, and how these techniques can be applied to Big data environments. Data analysis is emphasized throughout, ensuring you can translate complex datasets into clear reports and strategic recommendations. By the end of the course, you will have the knowledge to apply Machine Learning models to Big data projects, generate meaningful insights from data analysis, and present results effectively in professional contexts.

This is a self-paced learning platform, meaning you can study at your own pace and convenience. Additionally, each section of the course is divided in a way that allows you to easily pick up where you left off, making it easy to manage your time and progress throughout the course.

Who is this course for?

This course is ideal for anyone looking to build a strong foundation in data analysis, Big data, and Machine Learning. It suits professionals seeking to enhance analytical skills, those exploring data-driven decision-making, and individuals interested in understanding how Machine Learning can transform Big data into actionable insights.

Requirements

This Learn Data Analysis: Reporting, Machine Learning and Big Data course requires no formal qualification to start.

Career path

Completing this course can open pathways to roles such as Data Analyst, Business Intelligence Specialist, Machine Learning Engineer, Big Data Developer, or Data Scientist, equipping you with the data analysis, Big data, and Machine Learning skills employers demand.

Questions and answers

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. 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: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2026. All rights reserved.