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: Retrieval-Augmented Generation, LLM Application, Embeddings, Vector Databases, Jupyter
Intermediate · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: AI Orchestration, LangChain, OpenAI API, Generative AI Agents, Prompt Patterns, AI Workflows, Prompt Engineering, Agentic systems, AI Security, Large Language Modeling, Business Logic, File I/O, Transaction Processing, Document Management, Persona Development, Coordination, Plan Execution
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Sustainable Development, Geographic Information Systems, Geospatial Mapping, Sustainability Reporting, Spatial Data Analysis, Sustainable Business, Spatial Analysis, Data Storytelling, Environmental Monitoring, Data Visualization, Stakeholder Engagement, Trend Analysis, Decision Making
Beginner · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Scenario Testing, Programming Principles
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation
Beginner · Course · 1 - 4 Weeks

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Data Import/Export, Query Languages, Big Data, Data Access, Data Analysis Software
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Demand Planning, Customer Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Data Analysis, R Programming, Data Visualization, R (Software), Model Evaluation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours