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 with our Certified Professional Course in Data Mining Feature Engineering. Dive deep into key topics such as data preprocessing, feature selection, and dimensionality reduction to extract valuable insights from complex datasets. Learn how to optimize machine learning models and enhance predictive accuracy through hands-on projects and real-world case studies. Gain actionable skills to stay ahead in the dynamic digital landscape, where data-driven decision-making is crucial for success. Empower yourself with the knowledge and expertise needed to excel in the field of data mining and make a significant impact in today's data-driven world.
Unlock the power of data with our Certified Professional Course in Data Mining Feature Engineering. Dive deep into the world of data mining and learn how to extract valuable insights from complex datasets. Our comprehensive program covers advanced techniques in feature engineering, including data preprocessing, dimensionality reduction, and feature selection. Gain hands-on experience with industry-leading tools and software, and master the skills needed to excel in the field of data mining. Whether you're a seasoned professional or just starting out, this course will equip you with the knowledge and expertise to succeed in this rapidly growing field. Enroll today and take your data mining skills to the next level!
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
• Introduction to Feature Engineering• Data Preprocessing
• Feature Selection
• Feature Extraction
• Dimensionality Reduction
• Handling Missing Data
• Encoding Categorical Variables
• Scaling and Normalization
• Handling Outliers
• Feature Engineering Techniques
The Certified Professional Course in Data Mining Feature Engineering is a comprehensive program designed to equip individuals with the necessary skills and knowledge to excel in the field of data mining.
Upon completion of this course, participants will gain a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and feature transformation. They will also learn how to apply these techniques to real-world data sets, enabling them to extract valuable insights and make informed decisions.
This course is highly relevant to a wide range of industries, including finance, healthcare, marketing, and e-commerce. In today's data-driven world, organizations are constantly seeking professionals who can effectively analyze and interpret data to drive business growth and innovation. By mastering the art of feature engineering, participants will be well-equipped to meet the demands of the industry and stay ahead of the competition.
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. This experiential learning approach not only enhances understanding but also builds confidence and proficiency in data mining techniques.
Overall, the Certified Professional Course in Data Mining Feature Engineering is a valuable investment for individuals looking to enhance their data mining skills and advance their careers in the field. With its focus on practical application and industry relevance, this course provides a solid foundation for success in the dynamic and fast-paced world of data mining.
Upon completion of this course, participants will gain a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and feature transformation. They will also learn how to apply these techniques to real-world data sets, enabling them to extract valuable insights and make informed decisions.
This course is highly relevant to a wide range of industries, including finance, healthcare, marketing, and e-commerce. In today's data-driven world, organizations are constantly seeking professionals who can effectively analyze and interpret data to drive business growth and innovation. By mastering the art of feature engineering, participants will be well-equipped to meet the demands of the industry and stay ahead of the competition.
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. This experiential learning approach not only enhances understanding but also builds confidence and proficiency in data mining techniques.
Overall, the Certified Professional Course in Data Mining Feature Engineering is a valuable investment for individuals looking to enhance their data mining skills and advance their careers in the field. With its focus on practical application and industry relevance, this course provides a solid foundation for success in the dynamic and fast-paced world of data mining.
Industry Demand for Certified Professional Course in Data Mining Feature Engineering:
According to a report by the UK Office for National Statistics, the demand for data scientists and analysts in the UK is expected to increase by 24% over the next decade. This growth is driven by the increasing reliance on data-driven decision-making in various industries.
Why Certified Professional Course in Data Mining Feature Engineering is Required:
Data mining feature engineering is a crucial aspect of data analysis that involves transforming raw data into meaningful features for machine learning models. This course equips professionals with the skills to extract valuable insights from data, improve model performance, and make informed business decisions. By completing this certification, individuals can enhance their career prospects and stay competitive in the rapidly evolving field of data science.
Career path
| Career Roles | Key Responsibilities |
|---|---|
| Data Scientist | Developing and implementing data mining models for feature engineering. |
| Machine Learning Engineer | Creating algorithms and tools for feature selection and extraction. |
| Data Analyst | Analyzing data to identify relevant features for predictive modeling. |
| Business Intelligence Developer | Designing and implementing data pipelines for feature engineering. |
| Research Scientist | Conducting research on advanced feature engineering techniques. |