Quantitative research courses can help you learn statistical analysis, survey design, data interpretation, and hypothesis testing. You can build skills in regression analysis, sampling techniques, and data visualization. Many courses introduce tools like SPSS, R, and Excel, that support analyzing data sets and drawing meaningful conclusions. You'll also explore methods for conducting experiments and surveys, enabling you to apply quantitative techniques in various fields such as social sciences, market research, and public health.

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Innovation, User Feedback, Growth Mindedness, Resilience, Adaptability, Open Mindset, Entrepreneurship, Creative Problem-Solving, Strategic Thinking, Lifelong Learning, Market Research, Sustainable Business, Continuous Improvement Process, Business, Data-Driven Decision-Making
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Artificial Neural Networks
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
Mixed · Course · 1 - 3 Months

AI CERTs
Skills you'll gain: Regulatory Compliance
Advanced · Course · 1 - 3 Months

Skills you'll gain: Diagram Design, Persona Development, User Accounts, Productivity Software, Strategic Thinking, Market Analysis, Marketing Communications
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Usability Testing, Software Design Documents, User Experience Design, UI/UX Research, User Experience, Prototyping, User Research, Test Planning, Design Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Text Mining
Intermediate · Course · 1 - 4 Weeks