Master big data analytics for processing and analyzing large datasets. Learn to use tools like Hadoop, Spark, and NoSQL databases.
The language used throughout the course, in both instruction and assessments.

University of Michigan
Skills you'll gain: Consumer Behaviour, Responsible AI, Business Risk Management, Business Operations, Risk Analysis, Generative AI, Social Sciences, Safety Standards, Environmental Issue, Governance, Leadership and Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, SQL, Data Analysis, Responsible AI, Machine Learning, Business Ethics
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Cleansing, Data Processing, Data Wrangling, Data Integration, Data Capture, Data Literacy, Data Quality, Data Transformation, Data Management, Data Collection, Web Scraping, Data Import/Export, Data Access, Metadata Management, Unstructured Data, SQL
Mixed · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Responsible AI, Human Centered Design, Data Ethics, Artificial Intelligence, Amazon Web Services, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Application Deployment, NumPy, Artificial Neural Networks, Supervised Learning, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: User Story, SQL, New Product Development, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), Sustainable Business, Delegation Skills, Object Oriented Design, Sampling (Statistics), Supplier Management, Failure Analysis, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Statistical Modeling, Database Design, Unsupervised Learning
Earn a degree
Degree · 1 - 4 Years

Illinois Tech
Skills you'll gain: Regression Analysis, Data Validation, Feature Engineering, Exploratory Data Analysis, Statistical Modeling, Data Transformation, Statistical Methods, Plot (Graphics), Statistical Analysis, R Programming, Correlation Analysis, Time Series Analysis and Forecasting, Statistical Inference, Linear Algebra, Statistical Hypothesis Testing, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 4 Weeks