Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

University of Michigan
Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: ChatGPT, Generative AI, Prompt Engineering, LLM Application, Taking Meeting Minutes, Project Management, Calendar Management, Collaborative Software, Brainstorming, Meeting Facilitation, Report Writing, Management Reporting, Document Control
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Public Health, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Social Media Campaigns, Social Media Marketing, Social Media, Social Media Content, Photo Editing, Marketing, Graphic and Visual Design Software, Graphic Design, Entrepreneurship, Business
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Network Analysis, Social Network Analysis, Marketing Analytics, Unstructured Data, Semantic Web, Statistical Methods, Text Mining, Data Structures, JSON, Natural Language Processing, Data Visualization Software, Python Programming
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Image Analysis, Scalability, Digital Signal Processing, C and C++, Distributed Computing, Computer Graphics, Data Processing, Performance Tuning, Hardware Architecture, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Fraud detection, Accounting Software, ChatGPT, Data-Driven Decision-Making, Management Accounting, Tax Compliance, Tax Management, Accounting, Real Time Data, Auditing, Financial Data, Financial Analysis, Ethical Standards And Conduct, Artificial Intelligence, Practice Management, Financial Forecasting, Anomaly Detection, Predictive Analytics, Generative AI
Beginner · Course · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Network Security, Application Deployment, Cloud Infrastructure, Amazon Web Services, Cloud Computing, Virtual Machines, Firewall, Public Cloud, Cloud Storage, Identity and Access Management, Load Balancing, Virtual Networking, General Networking, Scalability
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Kubernetes, Containerization, Data Migration, Google Cloud Platform, Virtual Machines, Windows Servers, Cloud Platforms, Cloud Deployment, Command-Line Interface
Beginner · Project · Less Than 2 Hours

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Logistic Regression, Probability & Statistics, Descriptive Statistics, Model Evaluation, Public Health
Intermediate · Course · 1 - 4 Weeks