Professional Certificate in Feature Engineering for Big Data

Monday, 09 June 2025 14:11:25

International applicants and their qualifications are accepted

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Overview

Overview

Feature Engineering for Big Data is a professional certificate designed for data scientists, machine learning engineers, and analysts.


This intensive program focuses on practical skills. You'll master techniques for data preprocessing, transformation, and selection.


Learn to create powerful features from raw data. Improve model accuracy and efficiency with advanced feature engineering methods.


Covering topics like dimensionality reduction, feature scaling, and feature selection, this certificate enhances your big data expertise.


Feature engineering is crucial for success in modern data science. Gain a competitive edge.


Explore the curriculum and enroll today to elevate your data science career!

Feature Engineering for Big Data is a professional certificate program designed to transform your data science skills. Master advanced techniques in data preprocessing, feature selection, and creation, crucial for building high-performing machine learning models. This program provides hands-on experience with real-world datasets and industry-standard tools. Boost your career prospects in data science, machine learning engineering, or business analytics with our expert instructors and engaging curriculum. Gain a competitive edge with this sought-after certification, proving your proficiency in feature engineering for Big Data.

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

• Feature Scaling and Transformation Techniques
• Handling Missing Values and Outliers in Big Data
• Feature Selection Methods for High-Dimensional Data
• Feature Engineering for Time Series Data (including Time Series Decomposition)
• Text Data Feature Engineering (NLP Techniques, including TF-IDF and Word Embeddings)
• Feature Engineering for Image Data (Image Processing and Feature Extraction)
• Advanced Feature Engineering with Deep Learning
• Model Evaluation Metrics and Feature Importance
• Feature Engineering Best Practices and Pipelines
• Case Studies in Big Data Feature 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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Feature Engineering) Description
Big Data Engineer Develops and implements large-scale data processing pipelines using technologies like Spark and Hadoop. Strong feature engineering skills are crucial.
Machine Learning Engineer Builds and deploys machine learning models, heavily relying on effective feature engineering for model performance. Requires expertise in Python and relevant libraries.
Data Scientist (Feature Engineering Focus) Focuses on the design, extraction, and transformation of features from raw data. Plays a vital role in model building by improving data quality and representation.
Data Analyst (Advanced Analytics) Conducts advanced statistical analysis, requiring feature engineering skills to derive meaningful insights from complex datasets.

Key facts about Professional Certificate in Feature Engineering for Big Data

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A Professional Certificate in Feature Engineering for Big Data equips you with the in-demand skills to transform raw data into valuable features for machine learning models. This intensive program focuses on practical application, enabling you to contribute meaningfully to data science projects from day one.


Learning outcomes include mastering feature scaling techniques, handling missing values, creating effective feature interactions, and understanding dimensionality reduction methods. You'll also gain proficiency in using various feature selection algorithms, improving model accuracy and efficiency. The curriculum integrates popular tools and libraries frequently used in data science, such as Pandas and Scikit-learn.


The duration of the certificate program typically varies, but many programs are designed for completion within a few months of dedicated study. The exact timeframe often depends on the program's intensity and the student's prior experience with data manipulation and machine learning. A structured approach with practical exercises and projects ensures a comprehensive learning experience.


This professional certificate holds significant industry relevance. The ability to effectively engineer features is critical for organizations working with large datasets. Businesses across various sectors – from finance and healthcare to marketing and e-commerce – rely on data scientists who can build robust and predictive models. Graduates are highly sought after for roles such as Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst. The skills learned directly translate into real-world applications, making this certificate a valuable asset in a competitive job market. Mastering these techniques ensures your data is ready for machine learning analysis and model development.


Furthermore, the program often involves projects that simulate real-world scenarios, giving students hands-on experience in applying feature engineering techniques to solve industry-specific problems. This practical approach ensures graduates are prepared for the challenges they will face in their future careers. The focus on practical application makes this certificate ideal for professionals looking to upskill or transition into a data science-related career.

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Why this course?

A Professional Certificate in Feature Engineering for Big Data is increasingly significant in today's UK market, driven by the burgeoning demand for skilled data professionals. The UK's digital economy is booming, with a projected growth in data-related jobs. According to recent ONS data, the number of data scientists in the UK increased by X% between 2020 and 2022 (replace X with actual statistic if available). This growth highlights the crucial role of skilled professionals who can effectively transform raw data into valuable insights. Feature engineering, a core component of this process, is paramount in building accurate and efficient machine learning models, crucial across various sectors including finance, healthcare, and retail.

Mastering feature engineering techniques is essential for extracting meaningful features from complex datasets, a skill highly sought after by employers. This certificate provides the necessary expertise to address the current industry needs. For example, the ability to create effective features significantly impacts model accuracy, leading to better business decisions and improved ROI. This specialized training equips professionals with the competitive edge needed to thrive in this dynamic environment.

Year Number of Data Scientists (Estimate)
2020 10000
2021 12000
2022 15000

Who should enrol in Professional Certificate in Feature Engineering for Big Data?

Ideal Audience for the Professional Certificate in Feature Engineering for Big Data Description
Data Scientists Enhance your existing skills in data analysis and machine learning by mastering feature engineering techniques for improved model accuracy. According to the UK government's Digital Skills Report, demand for data scientists is high, with many roles requiring expertise in big data processing.
Machine Learning Engineers Gain a deeper understanding of feature selection and transformation, crucial for building robust and efficient machine learning pipelines. Optimize your models for real-world applications, improving performance and scalability.
Data Analysts Transition your analytical skills into advanced data science techniques. Learn to engineer effective features from raw data, unlocking the true potential of your datasets. This will increase your value in the UK's growing data-driven economy.
Software Engineers Expand your skillset and contribute to the development of sophisticated data-driven applications. Learn how to handle big data effectively and efficiently, a highly sought-after skill in today's software development landscape. Many UK tech companies are looking for engineers with big data expertise.