Data Structures and Algorithms courses can help you learn about arrays, linked lists, trees, and graph structures, along with sorting and searching algorithms. You can build skills in problem-solving, optimizing code efficiency, and analyzing algorithm complexity. Many courses introduce tools like Python, Java, or C++ for implementing these concepts, as well as platforms for coding challenges that reinforce your understanding through practical application.

Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Feature Engineering, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Data Analysis, Analytics, HR Tech, Trend Analysis, Correlation Analysis, Data-Driven Decision-Making, R Programming, Data Preprocessing, Data Cleansing
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

The Museum of Modern Art
Skills you'll gain: Performing Arts, Art History, Electronic Media, Aesthetics, Creativity, Design, Liberal Arts, Architectural Design, Multimedia, Photo/Video Production and Technology, Social Justice
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Natural Language Processing, Data Wrangling, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

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

University of Pennsylvania
Skills you'll gain: Financial Statements, Operations Management, Operational Efficiency, Financial Statement Analysis, Return On Investment, Accrual Accounting, Human Capital, Process Analysis, Branding, Financial Accounting, Marketing, Process Management, People Management, Strategic Marketing, Capital Budgeting, Financial Reporting, Finance, Peer Review, Project Design, Corporate Finance
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Deployment, Google App Engine, Site Reliability Engineering, Microservices, Network Architecture, Kubernetes, CI/CD, Cloud Security, Cloud Computing Architecture, Google Cloud Platform, Restful API, Service Level Agreement, Cloud Storage, Service Design, Load Balancing, Identity and Access Management, Disaster Recovery, Key Performance Indicators (KPIs)
Advanced · Course · 1 - 3 Months