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
Certified Professional in Feature Engineering for Time Series Data
Designed for data scientists and analysts, this certification program focuses on mastering feature engineering techniques for analyzing time series data. Learn advanced methodologies to extract meaningful features, handle missing values, and create predictive models. Enhance your skills in data preprocessing, feature selection, and model evaluation to drive better insights and decision-making. Stay ahead in the competitive data science field with this specialized certification. Take the next step in your career and become a proficient time series data analyst.
Start your learning journey today!
Certified Professional in Feature Engineering for Time Series Data is a comprehensive course designed to enhance your data science training with a focus on time series analysis. Gain practical skills through hands-on projects and learn from real-world examples to master feature engineering techniques specific to time series data. This self-paced learning experience allows you to delve deep into machine learning training and improve your data analysis skills at your convenience. By the end of the course, you will be equipped with the expertise needed to extract valuable insights from time series data, making you a sought-after professional in the field.The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Certified Professional in Feature Engineering for Time Series Data focuses on mastering essential techniques for manipulating and extracting features from time series data. Students will learn advanced methods to preprocess and engineer features to improve the performance of time series models. By the end of the program, participants will be proficient in feature engineering for time series data.
The course duration is 8 weeks and is self-paced to accommodate different learning styles and schedules. This flexible timeline allows students to delve deep into the intricacies of feature engineering at their own pace, ensuring a comprehensive understanding of the subject.
This certification is highly relevant to current trends in data science and machine learning, as feature engineering plays a crucial role in developing accurate predictive models. The curriculum is designed to align with modern tech practices and industry standards, ensuring that graduates are well-equipped to tackle real-world time series data challenges.
| UK Businesses | Percentage |
|---|---|
| Believe in Importance of Time Series Data Analysis | 65% |