
Universidad Austral
Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Financial Forecasting, Predictive Modeling, Forecasting, Finance, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Risk Analysis, Microsoft Excel
Beginner Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Probability & Statistics, Model Evaluation, Machine Learning
Mixed Ā· Course Ā· 1 - 3 Months

University of Michigan
Skills you'll gain: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence
Beginner Ā· Specialization Ā· 1 - 3 Months

Skills you'll gain: Model Deployment, Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Data Warehousing, Big Data, Data Lakes, Dashboard, Cloud Engineering, Data Processing, Tensorflow, Data Infrastructure, Apache Spark, Data Preprocessing, Extract, Transform, Load, Unstructured Data, Cloud Storage, PySpark, Data Transformation
Intermediate Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: Credit Risk, Financial Statement Analysis, Risk Modeling, Working Capital, Financial Analysis, Financial Modeling, Portfolio Risk, Lending and Underwriting, Financial Data, Risk Management, Risk Analysis, Bank Regulations, Analysis, Cash Flows, Income Statement, Balance Sheet, Regulatory Compliance, Business Metrics, Financial Statements, Bankruptcies
Beginner Ā· Specialization Ā· 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms
Build toward a degree
Intermediate Ā· Course Ā· 1 - 4 Weeks

Universiteit Leiden
Skills you'll gain: Health Disparities, Social Determinants Of Health, Qualitative Research, Research Methodologies, Social Sciences, Epidemiology, Public Health, Substance Abuse, Infectious Diseases, Quantitative Research, Chronic Diseases, Anthropology, Probability & Statistics
Intermediate Ā· Course Ā· 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Game Theory, Mathematical Modeling, Political Sciences, Combinatorics, Social Sciences, Probability, Applied Mathematics, Critical Thinking, General Mathematics, Statistical Analysis
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Cloud Deployment, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, Machine Learning
Intermediate Ā· Project Ā· 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 Ā· Course Ā· 1 - 3 Months