Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Assessment mode
Assignments or Quiz
Tutor support available
International Students can apply
Students from over 90 countries
Flexible study
Study anytime, from anywhere
Overview
Unlock the power of data manipulation with our Professional Certificate in Python for Feature Engineering. Dive into key topics such as data preprocessing, feature selection, and transformation techniques. Gain actionable insights to enhance your data analysis skills and drive informed decision-making in today's digital landscape. Learn how to extract valuable features from raw data, optimize model performance, and create robust machine learning pipelines. Empower yourself with the essential Python skills needed to excel in feature engineering and stay ahead in the ever-evolving world of data science. Enroll now and take your data analysis capabilities to the next level!
Unlock the power of Python for Feature Engineering with our Professional Certificate program. Dive deep into the world of data manipulation, extraction, and transformation to enhance your data analysis skills. Learn how to create meaningful features that drive insights and decision-making. Our hands-on approach will equip you with the tools and techniques needed to excel in this critical aspect of data science. Whether you're a beginner or looking to advance your career, this program will provide you with the expertise to stand out in the competitive field of data analytics. Enroll now and take your Python skills to the next level!
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Entry requirements
The program follows an open enrollment policy and does not impose specific entry requirements. All individuals with a genuine interest in the subject matter are encouraged to participate.Course structure
• Introduction to Feature Engineering• Data Cleaning and Preprocessing
• Feature Selection Techniques
• Handling Missing Data
• Encoding Categorical Variables
• Feature Scaling
• Dimensionality Reduction
• Feature Extraction
• Time Series Feature Engineering
• Text Data Feature Engineering
The Professional Certificate in Python for Feature Engineering is a comprehensive course designed to equip individuals with the essential skills and knowledge needed to excel in the field of feature engineering using Python.
Upon completion of this course, participants will gain a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and feature extraction. They will also learn how to implement these techniques using Python libraries such as NumPy, Pandas, and Scikit-learn.
This course is highly relevant to various industries, including data science, machine learning, and artificial intelligence. Feature engineering plays a crucial role in improving the performance of predictive models, making it a valuable skill for professionals working in these fields.
One of the unique features of this course is its hands-on approach, allowing participants to apply their knowledge in real-world scenarios through practical exercises and projects. This practical experience will not only enhance their understanding of feature engineering but also help them build a strong portfolio to showcase their skills to potential employers.
Overall, the Professional Certificate in Python for Feature Engineering is a must-have for anyone looking to advance their career in data science and machine learning. With its focus on practical skills and industry relevance, this course will undoubtedly set participants apart in a competitive job market.
Upon completion of this course, participants will gain a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and feature extraction. They will also learn how to implement these techniques using Python libraries such as NumPy, Pandas, and Scikit-learn.
This course is highly relevant to various industries, including data science, machine learning, and artificial intelligence. Feature engineering plays a crucial role in improving the performance of predictive models, making it a valuable skill for professionals working in these fields.
One of the unique features of this course is its hands-on approach, allowing participants to apply their knowledge in real-world scenarios through practical exercises and projects. This practical experience will not only enhance their understanding of feature engineering but also help them build a strong portfolio to showcase their skills to potential employers.
Overall, the Professional Certificate in Python for Feature Engineering is a must-have for anyone looking to advance their career in data science and machine learning. With its focus on practical skills and industry relevance, this course will undoubtedly set participants apart in a competitive job market.
why professional certificate in python for feature engineering is required?
Feature engineering is a crucial aspect of data science and machine learning, involving the creation of new features from existing data to improve model performance. A Professional Certificate in Python for Feature Engineering equips individuals with the necessary skills to manipulate and engineer features effectively, leading to better predictive models and insights.
industry demand for this course
| Statistic | Demand |
|---|---|
| According to Tech Nation | The demand for data professionals in the UK has increased by 231% over the past 5 years. |
| According to Glassdoor | Data Scientists in the UK earn an average salary of £50,000 per year. |
Career path
| Career Roles | Key Responsibilities |
|---|---|
| Data Scientist | Developing and implementing feature engineering strategies for data analysis. |
| Machine Learning Engineer | Creating and optimizing features for machine learning models. |
| Data Analyst | Cleaning and transforming data to extract meaningful features. |
| AI Researcher | Exploring new techniques for feature engineering in artificial intelligence. |
| Software Engineer | Implementing feature engineering pipelines in software applications. |