Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies.

Skills you'll gain: Agentic systems, Responsible AI, Compliance Management, Governance, Regulatory Compliance, Artificial Intelligence, Risk Analysis, Case Studies, Business Ethics, Ethical Standards And Conduct, Risk Management, Accountability, Regulatory Requirements
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months
University of Minnesota
Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
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: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development
Advanced · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks

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: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Data Visualization, Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Data Literacy, Correlation Analysis, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Model Deployment, Large Language Modeling, OpenAI API, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, CI/CD, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis
Advanced · Course · 1 - 4 Weeks