Undergraduate Certificate in Data Quality Management for Data Science

Friday, 13 February 2026 20:33:58

International applicants and their qualifications are accepted

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Overview

Overview

Data Quality Management

is a crucial aspect of Data Science, ensuring accurate and reliable insights. This Undergraduate Certificate in Data Quality Management for Data Science is designed for individuals seeking to enhance their skills in data governance, quality assurance, and data-driven decision making.

By focusing on data quality, learners will gain a deeper understanding of data preprocessing, data validation, and data cleansing techniques.

Some key topics covered in this program include data quality metrics, data quality frameworks, and data quality tools.

With this certificate, learners will be equipped to identify and mitigate data quality issues, leading to improved data-driven decision making.

Take the first step towards a career in data science by exploring this Undergraduate Certificate in Data Quality Management for Data Science.

Data Quality Management is the backbone of any successful data science project. This Undergraduate Certificate course equips you with the skills to ensure the accuracy, completeness, and consistency of data, leading to better decision-making and improved business outcomes. By mastering data quality management, you'll gain a competitive edge in the job market, with career prospects in data science, analytics, and business intelligence. Unique features of the course include hands-on experience with data quality tools and techniques, as well as a focus on data governance and compliance. With this certificate, you'll be well on your way to a rewarding career in data-driven industries.

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 Quality Frameworks
• Data Profiling and Cleansing
• Data Validation and Verification
• Data Quality Metrics and Monitoring
• Data Quality Assurance and Governance
• Data Quality Standards and Regulations
• Data Quality Tools and Technologies
• Data Quality Training and Awareness
• Data Quality in Big Data and NoSQL
• Data Quality in Machine Learning and AI

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

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 Undergraduate Certificate in Data Quality Management for Data Science

The Undergraduate Certificate in Data Quality Management for Data Science is a specialized program designed to equip students with the skills and knowledge required to manage and maintain high-quality data in various industries.
This program focuses on teaching students how to identify, assess, and mitigate data quality issues, ensuring that data is accurate, complete, and consistent.
Upon completion of the program, students will be able to apply data quality management principles and techniques to real-world problems, making them highly sought after in the job market.
The learning outcomes of this program include understanding data quality concepts, designing and implementing data quality management systems, and analyzing and resolving data quality issues.
The duration of the program is typically one year, with students completing a set of core and elective courses that cover the fundamentals of data quality management, data governance, and data science.
The industry relevance of this program is high, as data quality management is a critical aspect of many industries, including healthcare, finance, and marketing.
By completing this program, students will gain a competitive edge in the job market and be able to pursue careers in data science, data engineering, and data analytics.
The skills and knowledge gained from this program will also enable students to work with various data management tools and technologies, such as data warehouses, data lakes, and big data platforms.
Overall, the Undergraduate Certificate in Data Quality Management for Data Science is an excellent choice for students who want to launch a career in data science and data management.

Why this course?

Data Quality Management is a crucial aspect of Data Science, with the UK's data-driven economy growing rapidly. According to a report by the UK's Office for National Statistics (ONS), the data quality management market is expected to reach £1.4 billion by 2025, growing at a CAGR of 12.5%.
Year Market Size (£m)
2020 £840
2021 £960
2022 £1.12
2023 £1.24
2024 £1.44
2025 £1.4

Who should enrol in Undergraduate Certificate in Data Quality Management for Data Science?

Data Quality Management for Data Science is ideal for Undergraduate students with a passion for data analysis and science, particularly those studying in the UK.
Key characteristics of the ideal audience include: - Currently studying for an Undergraduate degree in a relevant field such as Computer Science, Mathematics, Statistics, or Information Technology.
- Familiarity with data analysis tools and techniques, such as R, Python, or SQL. - Strong understanding of data structures, algorithms, and software engineering principles.
- Interest in data science applications, such as machine learning, natural language processing, or data visualization. - Willingness to develop skills in data quality management, including data cleaning, validation, and quality control.
- Located in the UK, where data quality management is a critical aspect of various industries, including finance, healthcare, and government. - Able to commit to the program's duration, which is typically 1-2 years, depending on the institution and course structure.