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 transformation with our Certified Professional in Feature Engineering with R course. Dive deep into key topics such as data preprocessing, feature selection, and extraction techniques using the R programming language. Gain actionable insights to enhance model performance, interpretability, and scalability in the ever-evolving digital landscape. Empower yourself with the skills to drive data-driven decisions and stay ahead in the competitive job market. Enroll now and elevate your expertise in feature engineering to excel in the field of data science and machine learning.
Unlock the power of data manipulation and transformation with our Certified Professional in Feature Engineering with R program. Dive deep into the world of feature engineering, a crucial step in the data preprocessing pipeline. Learn how to extract, select, and create features to enhance model performance and accuracy. Master the art of data wrangling using R, a powerful programming language for statistical computing. Gain hands-on experience with real-world datasets and projects to solidify your skills. Elevate your career prospects in data science and machine learning with this comprehensive certification. Enroll now and become a proficient feature engineer with R!
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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 Cleaning• Feature Selection
• Feature Scaling
• Feature Extraction
• Handling Missing Data
• Encoding Categorical Variables
• Dimensionality Reduction
• Feature Engineering Techniques
• Time Series Feature Engineering
• Text Data Feature Engineering
Key Facts about Certified Professional in Feature Engineering with R
Are you looking to enhance your skills in feature engineering using R? The Certified Professional in Feature Engineering with R course is designed to help you master the art of creating and selecting the right features for machine learning models.
Learning Outcomes:
- Gain a deep understanding of feature engineering techniques in R
- Learn how to preprocess data and create new features for predictive modeling
- Understand the importance of feature selection and dimensionality reduction
- Develop hands-on experience with real-world datasets and projects
- Acquire the skills to optimize model performance through feature engineering
Industry Relevance:
- Feature engineering is a critical step in the machine learning pipeline, and professionals with expertise in this area are in high demand
- Companies across various industries rely on feature engineering to improve the accuracy and efficiency of their predictive models
- By becoming a Certified Professional in Feature Engineering with R, you will be equipped to tackle complex data challenges and drive business insights
Unique Features:
- This course is taught by industry experts with extensive experience in feature engineering and data science
- You will have access to a comprehensive curriculum that covers both theoretical concepts and practical applications
- The course includes hands-on exercises and projects to help you apply your knowledge in real-world scenarios
- Upon completion, you will receive a certification that validates your expertise in feature engineering with R
why become a certified professional in feature engineering with R?
Feature engineering is a crucial aspect of data science and machine learning, involving the creation and selection of features to build predictive models. Becoming a Certified Professional in Feature Engineering with R demonstrates your expertise in this field, showcasing your ability to manipulate data effectively and improve model performance.
industry demand for feature engineering professionals
| According to the Office for National Statistics, the demand for data scientists and machine learning engineers in the UK is expected to grow by 50% over the next decade. |
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Career path
| Career Roles | Key Responsibilities |
|---|---|
| Data Scientist | Developing and implementing feature engineering strategies |
| Machine Learning Engineer | Creating and optimizing features for machine learning models |
| Data Analyst | Analyzing and transforming data to improve model performance |
| AI Researcher | Conducting research on feature engineering techniques |
| Data Engineer | Building data pipelines for feature extraction and transformation |