Advanced Certification in Python for Feature Engineering


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Flexible schedule
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Unit 1: Introduction To Python And Feature Engineering

2

Unit 2: Data Manipulation With Pandas

3

Unit 3: Data Visualization With Matplotlib And Seaborn

4

Unit 4: Exploratory Data Analysis And Preprocessing

5

Unit 5: Feature Engineering Techniques

6

Unit 6: Time Series Analysis And Feature Engineering

7

Unit 7: Natural Language Processing And Feature Engineering

8

Unit 8: Advanced Topics In Feature Engineering

9

Unit 9: Machine Learning And Model Evaluation

10

Unit 10: Best Practices And Deployment In Python For Feature Engineering.

Career Path

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Key facts

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Why this course

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People also ask

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of International Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

Why people choose us for their career

Jameson Westwood
GB

As a seasoned data scientist, I was looking for a course that could help me refine my skills in Python for feature engineering. Stanmore School of Business's 'Advanced Certification in Python for Feature Engineering' did not disappoint! The course materials were relevant and up-to-date, and the practical examples helped me solidify my understanding of complex topics. The learning experience was engaging and informative, and I can confidently say that this course has significantly improved my ability to create high-quality features for machine learning models. Highly recommended!

Sophia Rodriguez
US

I recently completed Stanmore School of Business's 'Advanced Certification in Python for Feature Engineering' and I'm thrilled with what I learned! The course content was practical and hands-on, which I really appreciated. I gained a lot of new skills, like how to use libraries like scikit-learn and pandas to manipulate data and create features. The course materials were well-organized and easy to follow. Overall, I'm very satisfied with my learning experience and would recommend this course to anyone looking to improve their Python skills for feature engineering!

Liam Chen
CN

Completing Stanmore School of Business's 'Advanced Certification in Python for Feature Engineering' has been a game-changer for my career. The course covered a wide range of topics, from data preprocessing to advanced feature engineering techniques. The practical examples and exercises were incredibly helpful in reinforcing my understanding of the material. I'm now able to create high-quality features for machine learning models, which has significantly improved my value as a data scientist. I highly recommend this course to anyone looking to take their Python skills to the next level!

Aisha Ahmed
IN

I recently finished the 'Advanced Certification in Python for Feature Engineering' course at Stanmore School of Business, and I have to say, I'm really impressed! The course was well-structured and covered a lot of ground. I particularly appreciated the focus on practical examples and exercises, which helped me apply what I learned to real-world scenarios. The course materials were clear and easy to follow, and I feel like I gained a lot of valuable skills that I can use in my job as a data analyst. Overall, I had a great learning experience and would recommend this course to anyone looking to improve their Python skills for feature engineering!





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Recently updated!

November 2025