Advanced Certificate in Practical IoT Data Analytics

Wednesday, 11 February 2026 17:47:46

International applicants and their qualifications are accepted

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Overview

Overview

IoT Data Analytics

Unlock the power of Internet of Things (IoT) data with our Advanced Certificate in Practical IoT Data Analytics.


This program is designed for data professionals and enthusiasts who want to learn how to collect, process, and analyze IoT data to gain valuable insights.


With a focus on practical skills, you'll learn to work with popular IoT devices, data platforms, and tools, such as AWS IoT, Microsoft Azure IoT, and Google Cloud IoT Core.


Some key topics covered include data ingestion, device management, and predictive analytics.


By the end of this course, you'll be able to design and implement IoT data analytics solutions that drive business value.


Take the first step towards becoming an IoT data analytics expert and explore our Advanced Certificate in Practical IoT Data Analytics today!

IoT data analytics is revolutionizing industries with its vast potential. The Advanced Certificate in Practical IoT Data Analytics equips you with the skills to unlock insights from IoT devices, transforming businesses and societies. With this course, you'll gain expertise in data collection, processing, and analysis, as well as machine learning and visualization tools. IoT data analytics offers numerous career prospects, including data scientist, IoT engineer, and business analyst. Unique features include hands-on projects, industry collaborations, and a focus on practical applications. By the end of the program, you'll be equipped to drive business growth and innovation with IoT data analytics.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Data Preprocessing for IoT Analytics
• Machine Learning for IoT Data Analysis
• IoT Data Visualization with Tableau
• Predictive Modeling for IoT Applications
• Deep Learning for IoT Data Science
• Big Data Analytics for IoT Systems
• IoT Security and Data Protection
• Cloud Computing for IoT Data Storage
• NoSQL Databases for IoT Data Management
• IoT Data Quality and Validation

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Advanced Certificate in Practical IoT Data Analytics

The Advanced Certificate in Practical IoT Data Analytics is a specialized program designed to equip learners with the skills required to collect, analyze, and interpret data from Internet of Things (IoT) devices.
This course focuses on teaching learners how to extract insights from IoT data, making it a valuable asset for professionals working in industries such as manufacturing, logistics, and smart cities.
Upon completion of the program, learners will be able to apply data analytics techniques to real-world IoT scenarios, enabling them to drive business decisions and improve operational efficiency.
The duration of the Advanced Certificate in Practical IoT Data Analytics is typically 12 weeks, with learners expected to dedicate around 20 hours per week to coursework and assignments.
Industry relevance is a key aspect of this program, as it addresses the growing demand for IoT data analytics professionals in various sectors.
By acquiring the skills and knowledge required for IoT data analytics, learners can enhance their career prospects and contribute to the development of smart and connected systems.
The program is designed to be flexible, allowing learners to balance their studies with work commitments.
The Advanced Certificate in Practical IoT Data Analytics is a valuable addition to any professional's skillset, providing a competitive edge in the job market.
With its focus on practical application and industry relevance, this program is ideal for individuals looking to transition into a career in IoT data analytics or enhance their existing skills in this area.

Why this course?

Advanced Certificate in Practical IoT Data Analytics is a highly sought-after skill in today's market, with the UK's Internet of Things (IoT) industry expected to reach £14.8 billion by 2025, growing at a CAGR of 17.4% (Source: Statista). To stay competitive, professionals need to develop expertise in data analytics, which is a key aspect of IoT.
Year Expected Value (£ billion)
2020 £6.4
2025 £14.8

Who should enrol in Advanced Certificate in Practical IoT Data Analytics?

Ideal Audience for Advanced Certificate in Practical IoT Data Analytics This course is designed for data analysts, IoT professionals, and IT specialists in the UK who want to enhance their skills in collecting, processing, and analyzing IoT data to gain a competitive edge in the job market.
Key Characteristics: - Typically have a degree in a quantitative field such as computer science, mathematics, or statistics
Industry Background: - Many UK-based companies, such as those in the automotive, manufacturing, and healthcare sectors, rely heavily on IoT data to inform their business decisions
Career Goals: - To become a senior data analyst or IoT consultant, or to transition into a related field such as data science or artificial intelligence
Prerequisites: - Basic knowledge of programming languages such as Python, R, or SQL