Feature Selection Courses and Certifications

Foundations of Data Science

Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science.

• edX
• 7 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Multiple Regression with Minitab

138 ratings at Udemy

Perform & Analyze the Results of Multiple Regression using Minitab 19 - Six Sigma Master Black Belt (SSMBB) Level

• Udemy
• 4 hours 48 minutes
• On-Demand
• Paid Course

Feature Engineering For Machine Learning 101

122 ratings at Udemy

Feature Engineering | Machine Learning | Artificial Intelligence | Chat GPT | LLM | generative ai | Manus | Ai Agent

• Udemy
• 2 hours 9 minutes
• On-Demand
• Paid Course

Practical Linear Regression in R for Data Science in R

42 ratings at Udemy

Learn Practical Linear Regression in R - Basics of machine learning, deep learning, statistics & Artificial Intellegence

• Udemy
• 2 hours 59 minutes
• On-Demand
• Paid Course

Whizlabs

Data Engineering in AWS

26 ratings at Coursera

Learn data engineering techniques for AWS, including data gathering, handling missing data, feature extraction, and selection using PCA and variance thresholds. Gain hands-on experience with SageMaker and AWS migration tools.

• Coursera
• 4 hours 50 minutes
• On-Demand
• Paid Course

Big Data Capstone Project

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.

• edX
• 6 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Corporate Finance Institute

Data Science & Machine Learning Fundamentals

15 ratings at Coursera

Master data science fundamentals through real-world business applications, from regression and classification to feature engineering. Gain practical insights for implementing data-driven decision making in your organization.

• Coursera
• 5 hours 45 minutes
• On-Demand
• Paid Course

Microcredential

Analyzing Time Series and Sequential Data

11 ratings at Coursera

Explore time series analysis, create features, build forecasting systems, and model sequential data using SAS tools. Master techniques for large-scale data projects and predictive modeling.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Predictive Analytics

Gain insights into predictive analytics with Python, learning to build models, diagnose performance issues, leverage advanced techniques like neural networks, and integrate data-driven insights into decision-making for digital transformation.

• Coursera
• 1 day 23 hours 19 minutes
• On-Demand
• Paid Course

Predictive Analytics

Master predictive analytics techniques using Python to transform raw data into actionable insights for business innovation, from regression methods to advanced modeling for real-world problem-solving.

• edX
• 10 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Creating Features for Time Series Data

Explore time series data analysis techniques including binning, smoothing, transformations, spectral analysis, and motif detection to create effective features for advanced analytics and modeling.

• Coursera
• 10 hours 32 minutes
• On-Demand
• Paid Course

Corporate Finance Institute

Data Prep for Machine Learning in Python

Master data preparation techniques for machine learning in Python, from importing and cleaning to feature engineering and selection. Learn imputation, EDA, and transformations for optimal ML model performance.

• Coursera
• 5 hours 47 minutes
• On-Demand
• Paid Course

Coursera

TensorFlow Prediction: Identify Penguin Species

Build and evaluate machine learning models using TensorFlow Decision Forests to classify penguin species based on physical measurements, mastering data preprocessing, feature analysis, and model evaluation.

• Coursera
• 1 hour 33 minutes
• On-Demand
• Paid Course

Packt

Foundations of Machine Learning with Azure

Master machine learning fundamentals and Azure ML Studio through hands-on data preprocessing, model building, and deployment techniques for real-world business applications.

• Coursera
• 7 hours 29 minutes
• On-Demand
• Paid Course

Packt

Clustering and Classification with Machine Learning in R

Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.

• Coursera
• 11 hours 42 minutes
• On-Demand
• Paid Course