Professional Certificate in Predictive Analytics for Software Quality Engineering

Tuesday, 26 August 2025 07:00:53

International applicants and their qualifications are accepted

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Overview

Overview

Predictive Analytics for Software Quality Engineering


Unlock the power of data-driven decision making in software development with our Professional Certificate in Predictive Analytics for Software Quality Engineering. This program is designed for software engineers and quality assurance professionals who want to leverage predictive analytics to improve software quality and reduce defects.

Learn how to apply machine learning algorithms and statistical models to identify trends and patterns in software data, and make data-driven decisions to optimize software development processes.


Gain skills in predictive modeling, data visualization, and statistical analysis, and take your career to the next level in software quality engineering. Explore this program further to discover how predictive analytics can transform your work.

Predictive Analytics is a game-changer for software quality engineers, enabling them to make data-driven decisions and drive business growth. This Professional Certificate course teaches you how to harness the power of predictive analytics to identify defects, optimize testing, and improve overall software quality. With Predictive Analytics, you'll gain a competitive edge in the job market, with career prospects in top tech companies. Unique features include hands-on projects, industry expert guidance, and access to cutting-edge tools and technologies. By combining Predictive Analytics with software engineering expertise, you'll be equipped to tackle complex problems and deliver high-quality software solutions.

Entry requirements

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

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• Regression Analysis for Predicting Software Defects
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• Machine Learning Algorithms for Quality Prediction
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• Data Preprocessing Techniques for Predictive Analytics
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• Statistical Process Control for Software Quality
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• Predictive Modeling for Defect Prediction
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• Software Quality Metrics and KPIs
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• Natural Language Processing for Text Analysis
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• Case Study: Applying Predictive Analytics in Software Engineering
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• Ethics and Responsible AI in Predictive Analytics for Software Quality
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• Tools and Technologies for Predictive Analytics in Software Quality Engineering

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in Predictive Analytics for Software Quality Engineering

The Professional Certificate in Predictive Analytics for Software Quality Engineering is a comprehensive program designed to equip learners with the skills necessary to apply predictive analytics in software quality engineering. This program focuses on teaching learners how to use data science and machine learning techniques to predict software quality issues, identify trends, and optimize software development processes. By the end of the program, learners will be able to analyze data, build predictive models, and implement data-driven decisions in their organizations. The duration of the program is typically 4-6 months, with learners completing a series of online courses and projects. The program is designed to be flexible, allowing learners to complete the coursework at their own pace. The Professional Certificate in Predictive Analytics for Software Quality Engineering is highly relevant to the software industry, as it addresses a critical need for organizations to improve software quality and reduce costs. By applying predictive analytics techniques, organizations can identify and mitigate software quality issues earlier in the development process, resulting in faster time-to-market and improved customer satisfaction. Learners who complete the program will gain a competitive edge in the job market, as they will possess a unique combination of technical skills in software quality engineering and data science. The program is also highly relevant to industries such as finance, healthcare, and e-commerce, where software quality is critical to business success. Overall, the Professional Certificate in Predictive Analytics for Software Quality Engineering is a valuable investment for individuals looking to advance their careers in software quality engineering and data science.

Why this course?

Predictive Analytics plays a vital role in Software Quality Engineering, enabling organizations to make data-driven decisions and improve product quality. According to a survey by the UK's Institution of Engineering and Technology (IET), 75% of companies in the UK use predictive analytics to improve their software development processes.
Year Percentage of Companies Using Predictive Analytics
2018 45%
2019 55%
2020 65%
2021 75%

Who should enrol in Professional Certificate in Predictive Analytics for Software Quality Engineering?

Ideal Audience for Professional Certificate in Predictive Analytics for Software Quality Engineering Software professionals seeking to enhance their skills in predictive analytics and quality engineering, particularly those in the UK, where the tech industry is a significant contributor to the economy, with 18.4% of the workforce employed in IT and software development (Source: ONS, 2020).
Key Characteristics: Professionals with 2+ years of experience in software development, quality assurance, or related fields, with a strong interest in data-driven decision making and process improvement.
Career Goals: To acquire skills in predictive analytics and quality engineering, enabling them to drive business growth, improve software quality, and increase customer satisfaction, with the UK's tech industry expected to grow by 10.4% annually from 2020 to 2025 (Source: PwC, 2020).
Prerequisites: Basic understanding of statistics, programming concepts, and software development methodologies, with prior experience in data analysis or quality assurance a plus.