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
Embark on a transformative journey with our Certified Professional Course in Python Feature Engineering. Dive deep into key topics such as data preprocessing, feature selection, and extraction techniques. Gain actionable insights to enhance model performance and drive impactful decision-making in the digital realm. Equip yourself with the skills to navigate the ever-evolving landscape of data science and machine learning. Elevate your expertise and stay ahead of the curve with hands-on projects and real-world applications. Join us and unlock the potential of Python Feature Engineering to propel your career to new heights.
Unlock the power of Python with our Certified Professional Course in Python Feature Engineering. Dive deep into the world of feature engineering and learn how to extract, transform, and select the most relevant features for your machine learning models. Our comprehensive program covers advanced techniques and best practices to enhance model performance and accuracy. Gain hands-on experience with real-world projects and build a strong foundation in Python programming. Whether you are a beginner or an experienced professional looking to upskill, this course will equip you with the knowledge and skills needed to excel in the field of data science and machine learning.
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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
• Data Preprocessing• Feature Scaling
• Handling Missing Data
• Encoding Categorical Variables
• Feature Selection
• Feature Extraction
• Dimensionality Reduction
• Handling Imbalanced Data
• Time Series Feature Engineering
• Text Data Feature Engineering
The Certified Professional Course in Python Feature Engineering is a comprehensive program designed to equip individuals with the necessary skills and knowledge 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 apply these techniques to real-world data sets, enabling them to make informed decisions and drive business outcomes.
This course is highly relevant to a wide range of industries, including finance, healthcare, marketing, and technology. Feature engineering is a critical step in the data science process, and professionals with expertise in this area are in high demand. By completing this course, participants will enhance their career prospects and be well-equipped to tackle complex data challenges in their respective industries.
One of the unique features of this course is its hands-on approach to learning. Participants will have the opportunity to work on practical projects and case studies, allowing them to apply their knowledge in a real-world setting. Additionally, the course is taught by industry experts who bring their wealth of experience and insights to the classroom, ensuring that participants receive the most up-to-date and relevant information.
In conclusion, the Certified Professional Course in Python Feature Engineering is a valuable investment for individuals looking to enhance their data science skills and advance their careers. With its focus on practical learning and industry relevance, this course provides participants with the tools and knowledge they need to succeed in the fast-paced world of data science.
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 apply these techniques to real-world data sets, enabling them to make informed decisions and drive business outcomes.
This course is highly relevant to a wide range of industries, including finance, healthcare, marketing, and technology. Feature engineering is a critical step in the data science process, and professionals with expertise in this area are in high demand. By completing this course, participants will enhance their career prospects and be well-equipped to tackle complex data challenges in their respective industries.
One of the unique features of this course is its hands-on approach to learning. Participants will have the opportunity to work on practical projects and case studies, allowing them to apply their knowledge in a real-world setting. Additionally, the course is taught by industry experts who bring their wealth of experience and insights to the classroom, ensuring that participants receive the most up-to-date and relevant information.
In conclusion, the Certified Professional Course in Python Feature Engineering is a valuable investment for individuals looking to enhance their data science skills and advance their careers. With its focus on practical learning and industry relevance, this course provides participants with the tools and knowledge they need to succeed in the fast-paced world of data science.
Why Certified Professional Course in Python Feature Engineering is Required?
Python Feature Engineering is a crucial skill in data science and machine learning, allowing professionals to extract valuable insights from data by creating new features. This certification course equips individuals with the knowledge and tools needed to manipulate, preprocess, and engineer features for predictive modeling, ultimately improving the accuracy and performance of machine learning algorithms.
Industry Demand for Python Feature Engineering Professionals
| According to Tech Nation | Jobs in Data Science and Machine Learning are projected to grow by 50% over the next decade. |
|---|---|
| Average Salary | Data Scientists with Python Feature Engineering skills earn an average salary of £60,000 per annum. |
Career path
| Career Roles | Key Responsibilities |
|---|---|
| Python Data Engineer | Developing data pipelines and implementing data engineering solutions using Python |
| Machine Learning Engineer | Building and deploying machine learning models for data analysis and prediction |
| Data Scientist | Utilizing Python for data analysis, visualization, and statistical modeling |
| AI Researcher | Conducting research and experiments in artificial intelligence using Python |
| Data Analyst | Analyzing and interpreting complex data sets using Python programming |