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.

Maven Analytics
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, AI Enablement, Microsoft Excel, Artificial Intelligence, Data Analysis, Python Programming, SQL, Data Literacy, Query Languages, Business Intelligence, Data Science, Debugging
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Graphical Tools, Mathematical Software, Applied Mathematics, Geometry
Beginner · Course · 1 - 3 Months
Duke University
Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Data Visualization Software, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Data Transformation, SPSS (Software), SPSS, Descriptive Analytics, Data Visualization, Logistic Regression, Regression Analysis, Correlation Analysis, Analytics, Data Presentation, Data Preprocessing, Descriptive Statistics, Business Analytics, Statistical Modeling, Advanced Analytics, Data Analysis, Exploratory Data Analysis, Market Data, Statistical Analysis
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Health Informatics, Data Analysis, Patient-centered Care, Analytics, Descriptive Analytics, Data Storytelling, Data-Driven Decision-Making, Data Presentation, Clinical Data Management, Statistical Methods, Probability & Statistics
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

ESSEC Business School
Skills you'll gain: Community Development, Strategic Partnership, Social Impact, Sustainable Development, Program Evaluation, Relationship Building, Cross-Functional Collaboration, Innovation, Fundraising and Crowdsourcing, Governance, Stakeholder Engagement
Beginner · Course · 1 - 3 Months

The Museum of Modern Art
Skills you'll gain: Art History, Performing Arts, Photography, Liberal Arts, Aesthetics, Creativity, Electronic Media, Culture, Cultural Diversity, Media and Communications, Public History, Design, Content Creation, Storytelling, Social Impact, Multimedia, Social Justice, Photo/Video Production and Technology, Sustainability Standards, Research
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Data Pipelines, Apache Airflow, Site Reliability Engineering, Disaster Recovery, Apache Kafka, Data Integrity, Data Infrastructure, Workflow Management, Data Storage Technologies, Real Time Data, Data Processing, Apache Spark
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks