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.

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Large Language Modeling, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Nutrition Education, Nutrition and Diet, Public Policies, Public Health, Health Policy, Policy Analysis, Health Equity, Policy Development, Community Health, Program Evaluation, Advocacy
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Model Deployment, Transfer Learning, Convolutional Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning Methods, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Entrepreneurship, Growth Strategies, Business Planning, Financial Modeling, Cost Accounting, Product Development, New Product Development, Business Strategies, Business Development, Value Propositions, Investments, Presentations, Business Metrics, Customer Acquisition Management, Fundraising
Beginner · Course · 1 - 3 Months

Skills you'll gain: Sales Strategy, B2B Sales, Sales Training, Sales Process, Marketing Psychology, Sales, Selling Techniques, Sales Enablement, Consumer Behaviour, Overcoming Objections, Storytelling, Closing (Sales), Stakeholder Communications, Negotiation, Non-Verbal Communication, Customer Engagement, Value Propositions, Communication Strategies, Empathy, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Facebook, Persona Development, Social Media, Social Media Marketing, Social Media Campaigns, Customer Engagement, Social Media Strategy, Customer Insights, Target Audience, Marketing Materials
Intermediate · Guided Project · Less Than 2 Hours

Simplilearn
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Campaign Management, Copywriting, Target Audience, Persona Development, Facebook, Advertising Campaigns, Social Media Campaigns, Customer Analysis, Target Market, Promotional Strategies, Customer Insights, Online Advertising, Advertising, Marketing Materials, Digital Advertising, Marketing, Performance marketing, Content Creation, Marketing Budgets, Video Production
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
Mixed · Course · 1 - 4 Weeks