Inquiry-based learning courses can help you learn critical thinking, problem-solving techniques, research methodologies, and effective questioning strategies. You can build skills in designing experiments, analyzing data, and facilitating discussions that encourage student engagement. Many courses introduce tools like digital platforms for collaborative projects, data visualization software, and assessment frameworks that enhance the inquiry process and support active learning.

Fractal Analytics
Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning, Machine Learning Methods, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Model Training, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Model Optimization, Logistic Regression, Anomaly Detection, Classification Algorithms
★ 4.5 (14) · Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation
★ 4.6 (2.5K) · Mixed · Course · 1 - 3 Months

Rice University
Skills you'll gain: Problem Solving, Overcoming Obstacles, Mental Concentration, Learning Theory
Beginner · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, Model Training, NumPy, Demand Planning, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis
★ 3.4 (86) · Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
★ 4.6 (304) · Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis
★ 4.9 (315) · Intermediate · Course · 1 - 4 Weeks

Deep Teaching Solutions
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Creative Thinking, AI Personalization, AI literacy, ChatGPT, Ideation, Creativity, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks
★ 4.8 (555) · Beginner · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus
Intermediate · Course · 1 - 3 Months

Tsinghua University
Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Learning Management Systems, Emerging Technologies, Digital Transformation, Innovation
★ 4.2 (34) · Beginner · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Digital pedagogy, Technology Solutions, Disabilities, Technology Strategies, Emerging Technologies, Gerontology
★ 4.5 (196) · Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning
★ 4.8 (722) · Intermediate · Specialization · 3 - 6 Months