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 and analysis with our Certified Professional in Python Feature Engineering course. Dive deep into key topics such as data preprocessing, feature selection, and extraction techniques. Gain actionable insights to enhance your data science skills and stay ahead in the ever-evolving digital landscape. Learn how to optimize data for machine learning models and make informed decisions based on data-driven insights. Empower yourself with the knowledge and skills needed to excel in the competitive field of data science. Enroll now and take your Python feature engineering skills to the next level!
Unlock the power of Python with our Certified Professional in Python Feature Engineering program. 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 course 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're a beginner or an experienced data scientist, this program will take your skills to the next level. Enroll now and become a certified expert in Python Feature Engineering!
Get free information
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 Selection
• Feature Scaling
• Feature Extraction
• Dimensionality Reduction
• Handling Missing Data
• Encoding Categorical Variables
• Handling Imbalanced Data
• Time Series Feature Engineering
• Text Feature Engineering
Are you ready to take your Python skills to the next level? The Certified Professional in Python Feature Engineering course is designed to equip you with the knowledge and skills needed to excel in the field of feature engineering using Python.
Upon completion of this course, you will have a deep understanding of feature engineering techniques and best practices in Python. You will learn how to manipulate and preprocess data, create new features, handle missing values, and more. By mastering these skills, you will be able to enhance the performance of machine learning models and make more accurate predictions.
The Certified Professional in Python Feature Engineering course is highly relevant to industries such as data science, machine learning, and artificial intelligence. Feature engineering is a critical step in the data preprocessing pipeline, and professionals with expertise in this area are in high demand. By becoming certified in Python Feature Engineering, you will be well-equipped to pursue lucrative career opportunities in these rapidly growing fields.
One of the unique features of this course is its hands-on approach. You will have the opportunity to work on real-world projects and apply your knowledge in practical scenarios. This experiential learning approach will not only deepen your understanding of feature engineering concepts but also give you valuable experience that you can showcase to potential employers.
In conclusion, the Certified Professional in Python Feature Engineering course is a comprehensive and practical program that will empower you to become a proficient feature engineer in Python. Whether you are a beginner looking to enter the field of data science or an experienced professional seeking to upskill, this course will provide you with the tools and knowledge you need to succeed.
Upon completion of this course, you will have a deep understanding of feature engineering techniques and best practices in Python. You will learn how to manipulate and preprocess data, create new features, handle missing values, and more. By mastering these skills, you will be able to enhance the performance of machine learning models and make more accurate predictions.
The Certified Professional in Python Feature Engineering course is highly relevant to industries such as data science, machine learning, and artificial intelligence. Feature engineering is a critical step in the data preprocessing pipeline, and professionals with expertise in this area are in high demand. By becoming certified in Python Feature Engineering, you will be well-equipped to pursue lucrative career opportunities in these rapidly growing fields.
One of the unique features of this course is its hands-on approach. You will have the opportunity to work on real-world projects and apply your knowledge in practical scenarios. This experiential learning approach will not only deepen your understanding of feature engineering concepts but also give you valuable experience that you can showcase to potential employers.
In conclusion, the Certified Professional in Python Feature Engineering course is a comprehensive and practical program that will empower you to become a proficient feature engineer in Python. Whether you are a beginner looking to enter the field of data science or an experienced professional seeking to upskill, this course will provide you with the tools and knowledge you need to succeed.
why certified professional in python feature engineering is required?
Python feature engineering is a crucial skill in the field of data science and machine learning. It involves creating new features from existing data to improve model performance and accuracy. A certification in Python feature engineering demonstrates proficiency in this area, making you a valuable asset to employers looking for skilled data professionals.
industry demand for certified professionals in python feature engineering
| Statistic | Demand |
|---|---|
| According to Tech Nation | Data science and machine learning jobs are projected to grow by 50% over the next decade. |
Career path
| Career Roles | Key Responsibilities |
|---|---|
| Python Feature Engineer | Developing and implementing feature engineering strategies using Python |
| Data Scientist | Utilizing Python for data analysis and modeling |
| Machine Learning Engineer | Building machine learning models with Python |
| AI Developer | Creating artificial intelligence solutions using Python |
| Data Analyst | Analyzing data and generating insights using Python |