Big Data Analytics courses can help you learn data mining, statistical analysis, data visualization, and predictive modeling. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Apache Hadoop, Spark, and Tableau, that support processing large datasets and visualizing trends, allowing you to apply your analytical skills in various business contexts.

University of California, Davis
Skills you'll gain: Data Quality, Data Cleansing, Computer Vision, Visualization (Computer Graphics), Data Preprocessing, Deep Learning, Image Analysis, Convolutional Neural Networks, Model Evaluation, Data Manipulation, Applied Machine Learning, Data Analysis
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Loss Prevention, Personally Identifiable Information, Data Pipelines, Cloud-Based Integration, Cloud Storage, Data Security, Data Integration, Data Management, Data Transformation, Cloud Management, DevOps
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Import/Export, Scripting, Data Manipulation, File Management, Data Validation, Software Installation
Beginner · Course · 3 - 6 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis
Beginner · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability
Mixed · Course · 1 - 3 Months
Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Warehousing, Amazon S3, Automation, Cloud-Native Computing, Data Transformation, Serverless Computing, Process Optimization, System Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, AI Enablement, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Cleansing, Data Preprocessing, Data Visualization Software, Descriptive Statistics, Data Validation
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart
Beginner · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
Intermediate · Specialization · 1 - 3 Months