Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation
Intermediate · Specialization · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Verification And Validation, Pharmacology, Environmental Science, Research, Safety Assurance, Scientific Methods, Biostatistics, Bioinformatics, Research Methodologies, Environmental Regulations, Research Design, Risk Analysis, Data Synthesis
Beginner · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks
Georgia Institute of Technology
Skills you'll gain: Materials science, Experimentation, New Product Development, Laboratory Research, Product Development, Sustainable Technologies, Chemical Engineering, Process Development, Chemistry, Prototyping, Mechanical Engineering, Laboratory Techniques
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Email Marketing, Social Media Content, Search Engine Optimization, Web Analytics and SEO, Social Media Marketing, Brand Marketing, Branding, Digital Marketing, Marketing Design, Marketing, Content Management Systems
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
Intermediate · Specialization · 1 - 4 Weeks

Berklee
Skills you'll gain: Music Theory, Music, Musical Composition, Music Performance
Beginner · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Medical Imaging, Spatial Analysis, Data Preprocessing, Quantitative Research, Algorithms, Data Store
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Flutter (Software), Mobile Development, User Interface and User Experience (UI/UX) Design, React Native, Application Development, iOS Development, Apple iOS, User Story, User Interface (UI), Android Development, Databases, Database Management, Cross Platform Development, Application Programming Interface (API), Software Development Tools, Application Frameworks, Application Deployment, Back-End Web Development, Data Persistence, Application Performance Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks