
The University of Edinburgh
Skills you'll gain: Simulation and Simulation Software, Bioinformatics, Biotechnology, Mathematical Modeling, Life Sciences, Biology, R Programming, Data Collection, Quantitative Research
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity
Beginner · Course · 3 - 6 Months

Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, Performance Tuning, Data Visualization Software, Web Applications, Application Development, R Programming, Dashboard, Exploratory Data Analysis, User Interface (UI), User Interface (UI) Design, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Modeling, Risk Modeling, Decision Tree Learning, Data Analysis, R Programming, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Exploratory Data Analysis, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Performance Measurement, Data Cleansing, Data Transformation, Performance Analysis, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months
Coursera
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Warehousing, Data Transformation, Data Integration, Databases, Data Manipulation, Real Time Data, AI Workflows, Database Management, Business Workflow Analysis, Performance Tuning, Process Design, Data Validation, Apache, Scalability, Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Performance Tuning, Data Governance, Data Pipelines, SQL, Data Integrity, Data Quality, Data Integration, Stored Procedure, Operational Databases, Database Design, Consolidation, Data Cleansing, Data Validation, Data Manipulation, Systems Integration, Performance Testing, Performance Improvement, Application Performance Management, Performance Metric, Performance Measurement
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation
Mixed · Course · 1 - 4 Weeks