
Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months
Duke University
Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Quantitative Research, Scatter Plots, R Programming, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Statistical Analysis, Data Analysis, Data Visualization, Statistics, Exploratory Data Analysis, Data Import/Export, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Lean Six Sigma, Root Cause Analysis, Statistics, Process Mapping, Process Analysis, Performance Measurement, Statistical Methods, Statistical Process Controls, Descriptive Statistics, Probability & Statistics, Process Improvement, Statistical Analysis, Failure Mode And Effects Analysis, Risk Analysis, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Complex Problem Solving, Data Analysis Software, Data Entry, Data Analysis, Statistical Analysis, Financial Analysis
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Statistical Analysis, Rmarkdown, Data Analysis, Model Evaluation, Data Presentation, SQL, Databases, Dashboard, Data Manipulation, Web Scraping, R Programming
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Data Transformation, Dashboard, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data Manipulation, Scatter Plots, Time Series Analysis and Forecasting, Correlation Analysis, Event Monitoring, Security Information and Event Management (SIEM), Geospatial Mapping
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months