Big Data courses can help you learn data analysis, data visualization, statistical modeling, and data mining techniques. You can build skills in interpreting large datasets, designing data-driven strategies, and utilizing machine learning algorithms. Many courses introduce tools like Hadoop, Spark, and Tableau, that support processing vast amounts of information and presenting insights effectively. Additionally, you may explore topics such as data warehousing, predictive analytics, and the ethical implications of data usage.

Coursera
Skills you'll gain: Python Programming, Scripting, Scripting Languages, Programming Principles, Computer Programming, Data Access, Data Science
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Microsoft 365, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Data Visualization, No-Code Development, Spreadsheet Software, Collaborative Software, Microsoft Office, Power Apps Component Framework, Presentations, Data Analysis
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Energy and Utilities, Mathematical Modeling, Statistical Modeling, Predictive Analytics, Gemini, Data-Driven Decision-Making, Forecasting, Electric Power Systems, Analytics, Data Analysis, 3D Modeling, AI Enablement, Simulation and Simulation Software, Real Time Data, Simulations, Sustainable Technologies, Time Series Analysis and Forecasting, HVAC, Data Visualization, Search Engine Optimization
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability
Mixed · Course · 1 - 3 Months

Skills you'll gain: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), LLM Application, Generative AI, Natural Language Processing, Jupyter, Python Programming, Classification Algorithms
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Duke University
Skills you'll gain: Retrieval-Augmented Generation, Responsible AI, Generative AI, Cloud Deployment, LLM Application, Model Deployment, Application Deployment, Large Language Modeling, Hugging Face, Data Ethics, Prompt Engineering, Model Evaluation, Risk Management Framework, Rust (Programming Language)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Ethics, No-Code Development, Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Machine Learning, Business Metrics, Data Storytelling, User Experience Design, Generative AI, Business Analytics, Regulation and Legal Compliance, AI Workflows, Scalability, Data Validation, Dashboard, Automation, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Banco Interamericano de Desarrollo
Skills you'll gain: Data Literacy, Data Ethics, Policy Analysis, Public Policies, Data-Driven Decision-Making, Tree Maps, Data Analysis, Data Collection, Data Management, Program Evaluation, Data Quality, Research, Research Methodologies
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 4 Weeks