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.

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Generative AI Agents, Agentic systems, Prompt Engineering, AI Workflows, LLM Application, Systems Architecture, Tool Calling, Natural Language Processing, Context Management, Debugging, Verification And Validation
Intermediate · Course · 1 - 4 Weeks

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Technical Communication, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, Prompt Engineering Tools, ChatGPT, Generative AI, Multimodal Prompts, Responsible AI, OpenAI, LLM Application, AI Enablement, AI Product Strategy, AI Workflows, Large Language Modeling, Artificial Intelligence, Technical Writing, Content Creation, Natural Language Processing, Context Management, Problem Solving, Productivity
Beginner · Course · 1 - 3 Months

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning
Intermediate · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Microsoft Azure, Cloud Development, Scalability, Authentications, Data Validation
Beginner · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Restful API, DevOps, Grafana, Software Engineering, Data Import/Export, Application Development
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Algorithms, Systems Analysis, Resource Utilization, Scalability
Intermediate · Course · 1 - 4 Weeks