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: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months

University of Minnesota
Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms, Collaborative Software, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing
Beginner · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Healthcare Industry Knowledge, Public Health, Data Ethics, Geospatial Information and Technology, Data Visualization, Medical Terminology, Graph Theory
Mixed · Course · 1 - 3 Months
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Agentic systems, AI Security, Discussion Facilitation, Business Ethics, Embeddings, Regulatory Compliance, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), AI Workflows, Analytics, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Preprocessing, Debugging
Intermediate · Course · 1 - 3 Months