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.

Skills you'll gain: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Model Evaluation, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
Beginner · Specialization · 1 - 3 Months
Duke University
Skills you'll gain: Predictive Modeling, Data Storytelling, Database Design, Dashboard, MySQL, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Analytics, Data Visualization, Business Process Improvement, Business Intelligence, Microsoft Excel, Business Analysis, Data Analysis, Big Data, Business Communication
Beginner · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Email Automation, Workflow Management, AI Workflows, No-Code Development, Deepseek, Large Language Modeling, Generative AI, Automation, Model Deployment, Data Analysis, Google Sheets, Data Processing, Gmail
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, Model Deployment, IBM Cloud, Deep Learning, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Artificial Intelligence, Data Analysis Software, Analytics, Big Data, Data Analysis, Data Ethics, Deep Learning, Machine Learning, Statistical Analysis, Emerging Technologies, Health Technology, Internet Of Things, Natural Language Processing, Digital Transformation, Technology Solutions, Scikit Learn (Machine Learning Library), Large Language Modeling, Technology Strategies, Performance Appraisal, Agile Project Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Google Sheets, Interactive Data Visualization, Machine Learning, Data Manipulation, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months