Feature Engineering Courses and Certifications

Data Science and Machine Learning Capstone Project

136 ratings at edX

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive…

• edX
• 6 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

AWS Certified Machine Learning Specialty: 3 PRACTICE EXAMS

1877 ratings at Udemy

Ace the AWS certification MLS-C01 with FULL-LENGTH practice exams created by AWS CERTIFIED Machine Learning SPECIALIST

• Udemy
• Self-Paced
• Paid Course

AI and Machine Learning Algorithms and Techniques

65 ratings at Coursera

Master core AI and ML algorithms through hands-on exploration of supervised, unsupervised, and reinforcement learning. Apply feature engineering, understand deep learning models, and evaluate techniques for real business solutions.

• Coursera
• 1 day 21 hours 39 minutes
• Self-Paced
• Paid Course

People Analytics 101 : HR Analytics Fundamentals

1783 ratings at Udemy

Conceptualize the Basics of Statistical Model Building.

• Udemy
• 8 hours 48 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Data for Machine Learning

98 ratings at Coursera

Develop skills to prepare, engineer, and validate data for machine learning models. Learn to identify biases, improve generality, and enhance model accuracy through thoughtful feature engineering.

• Coursera
• 11 hours 53 minutes
• Self-Paced
• Paid Course

AWS Machine Learning Certification Exam | Complete Guide

1470 ratings at Udemy

500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment

• Udemy
• 16 hours 52 minutes
• Self-Paced
• Paid Course

Coursera

Predictive Analytics for Business with H2O in R

53 ratings at Coursera

Automate machine learning for business predictions using H2O in R. Learn to apply AutoML techniques, interpret results, and solve real-world problems with data-driven insights.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

EDUCBA Credential

Artificial Intelligence with Python: Foundations to Projects

37 ratings at Coursera

Master Python-based AI from setup to advanced projects, covering data visualization, machine learning models, NLP, and predictive analytics with portfolio-ready applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera Credential

Machine Learning with Scikit-learn, PyTorch & Hugging Face

28 ratings at Coursera

Master machine learning from foundations to generative AI using Python, scikit-learn, PyTorch & Hugging Face through hands-on projects and real-world applications.

• Coursera
• 20 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Generative AI for Data Science

27 ratings at Coursera

Unlock GenAI's potential in data science: enhance accuracy, efficiency, and innovation. Learn key applications, tackle real-world challenges, and address ethical considerations in this comprehensive course.

• Coursera
• 3 hours 17 minutes
• Self-Paced
• Paid Course

Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

26 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

MathWorks

Data Science Project: MATLAB for the Real World

25 ratings at Coursera

Apply data science skills to real-world problems using MATLAB. Explore, process, analyze, and model data through a hands-on project. Develop expertise in feature engineering, machine learning, and result communication.

• Coursera
• 13 hours 12 minutes
• Self-Paced
• Paid Course

EDUCBA

Python: Logistic Regression & Supervised ML

17 ratings at Coursera

Master logistic regression and supervised ML using Python with the Titanic dataset, covering data analysis, feature engineering, model building, and evaluation techniques.

• Coursera
• 4 hours 39 minutes
• Self-Paced
• Paid Course

Machine Learning Rapid Prototyping with IBM Watson Studio

16 ratings at Coursera

Explore automated AI capabilities for rapid prototyping in machine learning using IBM Watson Studio's AutoAI tool, focusing on data preparation, model selection, and hyperparameter optimization.

• Coursera
• 8 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Foundations of Machine Learning

15 ratings at Coursera

Master fundamental ML techniques including supervised/unsupervised learning, data preprocessing, and time series forecasting using Python libraries for real-world applications.

• Coursera
• 1 day 6 hours 19 minutes
• Self-Paced
• Paid Course