Professional Certificate in Data Preprocessing in Machine Learning

Monday, 09 February 2026 02:40:51

International applicants and their qualifications are accepted

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Overview

Overview

Data preprocessing is a crucial step in machine learning, and this Professional Certificate aims to equip learners with the skills to handle and transform raw data into a usable format.


Designed for data analysts, scientists, and practitioners, this certificate program focuses on data cleaning, feature engineering, and data transformation techniques.


Data preprocessing is a critical component of machine learning, enabling learners to extract insights from complex datasets.

Through a combination of theoretical foundations and practical exercises, learners will gain hands-on experience in handling missing values, data normalization, and feature scaling.


By the end of the program, learners will be able to apply data preprocessing techniques to real-world problems and contribute to the development of accurate machine learning models.


Take the first step towards unlocking the full potential of your data. Explore the Professional Certificate in Data Preprocessing in Machine Learning and discover how to transform your data into actionable insights.

Data Preprocessing is a crucial step in machine learning, and our Professional Certificate program is designed to equip you with the skills to excel in this field. By mastering data preprocessing techniques, you'll be able to Data Preprocessing large datasets, identify and handle missing values, and transform data into a suitable format for modeling. With this course, you'll gain a deep understanding of data cleaning, feature engineering, and data transformation, leading to improved model performance and increased career prospects. Upon completion, you'll be able to Data Preprocessing data with confidence, opening doors to opportunities in data science, business intelligence, and more.

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

• Data Cleaning and Preprocessing • Data Visualization and Exploration • Handling Missing Values and Outliers • Data Normalization and Feature Scaling • Data Transformation and Feature Engineering • Data Quality Assessment and Evaluation • Data Wrangling and Integration • Data Preprocessing with Python Libraries • Data Preprocessing for Supervised Learning • Data Preprocessing for Unsupervised Learning

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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Career path

Key facts about Professional Certificate in Data Preprocessing in Machine Learning

The Professional Certificate in Data Preprocessing in Machine Learning is a comprehensive program designed to equip learners with the skills necessary to effectively preprocess data for machine learning models.
This program focuses on teaching learners how to clean, transform, and prepare data for analysis and modeling, which is a critical step in the machine learning workflow.
Upon completion of the program, learners will be able to apply data preprocessing techniques to real-world problems, including data cleaning, feature engineering, and data transformation.
The program covers a range of topics, including data quality assessment, data visualization, and data transformation using popular libraries such as Pandas, NumPy, and Matplotlib.
Learners will also learn how to work with missing data, handle outliers, and apply data normalization techniques to ensure that their data is ready for modeling.
The Professional Certificate in Data Preprocessing in Machine Learning is a self-paced program that can be completed in approximately 4-6 months.
The program consists of 8 courses, each lasting around 4-6 weeks, and includes a final project where learners apply their skills to a real-world problem.
The program is highly relevant to the industry, as data preprocessing is a critical step in many machine learning applications, including predictive modeling, natural language processing, and computer vision.
Learners who complete the program will be able to demonstrate their skills in data preprocessing and will be well-prepared to take on entry-level roles in data science and machine learning.
The program is designed for professionals and individuals who want to gain the skills necessary to work with data in a machine learning context.
Upon completion of the program, learners will receive a certificate from a leading online education provider, which can be added to their resume or LinkedIn profile.
The Professional Certificate in Data Preprocessing in Machine Learning is a valuable investment for anyone looking to advance their career in data science and machine learning.

Why this course?

Data Preprocessing in Machine Learning: A Key to Unlocking Business Success in the UK Market In today's data-driven economy, companies in the UK are increasingly relying on machine learning to gain a competitive edge. However, the effectiveness of these models depends heavily on the quality of the data. This is where data preprocessing comes in – a crucial step that involves cleaning, transforming, and preparing data for analysis. A professional certificate in data preprocessing is essential for anyone looking to break into this field. Statistics Highlighting the Importance of Data Preprocessing | Year | Number of Companies Using Machine Learning in UK Businesses | | --- | --- | | 2020 | 71% of UK businesses reported using machine learning (Source: Google Cloud) | | 2022 | 85% of UK companies believed that data quality was a major challenge (Source: Data Science Council of America) | | 2023 | 90% of UK businesses expected to increase their use of machine learning in the next two years (Source: Gartner) |

Who should enrol in Professional Certificate in Data Preprocessing in Machine Learning?

Data Preprocessing in Machine Learning Ideal Audience
Professionals and individuals interested in machine learning, data science, and artificial intelligence Typically have a background in statistics, mathematics, computer science, or a related field
Those working in industries such as finance, healthcare, and e-commerce Can benefit from the skills and knowledge gained through this certificate, with 71% of UK data professionals reporting a need for data science skills
Data analysts, data engineers, and data scientists Can enhance their careers and stay up-to-date with the latest techniques and tools in data preprocessing and machine learning