Feature engineering courses can help you learn techniques for transforming raw data into meaningful features, selecting relevant variables, and creating new features to improve model performance. You can build skills in data preprocessing, handling missing values, and using domain knowledge to enhance feature sets.

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Manipulation
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Predictive Analytics, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, Feature Engineering, Data Integration, Data Transformation, Data Sharing, Data Management, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Data-Driven Decision-Making, Trend Analysis, Predictive Modeling, Statistical Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Processing, Sales Management, Pandas (Python Package), Jupyter
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Forecasting, Statistical Modeling, Machine Learning Methods, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, Data Transformation, User Feedback, Feature Engineering, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks