Research courses can help you learn data collection techniques, statistical analysis, literature review methods, and experimental design. You can build skills in critical thinking, hypothesis testing, and effective communication of findings. Many courses introduce tools like SPSS, R, and Python for data analysis, as well as reference management software such as EndNote or Zotero, which support the organization and presentation of research projects.

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

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
Mixed · Course · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Beginner · 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

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

University of Maryland, College Park
Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Keyword Research, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Online Advertising, Digital Advertising, A/B Testing, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Customer experience improvement
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Prototyping, Usability Testing, UI/UX Research, Augmented and Virtual Reality (AR/VR), Virtual Reality, Virtual Environment, Augmented Reality, 3D Assets, Development Environment, Development Testing
Beginner · Course · 1 - 3 Months

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: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Cloud Deployment, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Transformation, Machine Learning, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow
Mixed · Course · 1 - 4 Weeks

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