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Access over ten thousand professional programs and courses from leading tech companies and universities with a single recurring payment.
An all-access membership offering 790+ hands-on data science, AI, and analytics courses with a personalized AI tutor built in.
Liberty Vittert's illustrated primer on 50 data science ideas and uses, from regression and sampling bias to dating apps, each in a short entry.
Davis and Glanz's beginner textbook covering data wrangling, visualization, EDA, inference and machine learning, with ethics in each chapter.
Alex Coad's Springer textbook linking data science to strategy: digital transformation, big data, regression, CART, text data and ethics in R.
Tim Wilson and Joe Sutherland's guide for leaders on using data for decisions: KPIs with targets, testable hypotheses and the right evidence.
Sharda, Delen and Turban's managerial textbook covering BI, descriptive, predictive and prescriptive analytics, AI tools, and the ethics of analytics.
A Python textbook by Shmueli, Bruce, Gedeck and Patel on machine learning for business, from prediction to text mining and generative AI.
DeepSeek's AI assistant and low-cost LLM API with Flash and Pro models, 1M-token context, tool calls and OpenAI- and Anthropic-compatible endpoints.
PostHog's all-in-one product platform with analytics, session replay, feature flags, experiments and a data warehouse, with free monthly allowances.
Databricks' unified data and AI platform built on Apache Spark, covering lakehouse storage, SQL analytics, pipelines, ML and a free learning edition.
Google's cloud platform for data and AI work, including BigQuery, Cloud Storage and Vertex AI, with a $300 trial credit and an always-free usage tier.
MongoDB's fully managed cloud document database on AWS, Azure and Google Cloud, with built-in search, vector search and a free-forever cluster.
Confluent's fully managed, serverless Apache Kafka service with Flink stream processing, managed connectors and governance on AWS, Azure and GCP.
Mixpanel's event-based product analytics with funnels, retention, session replay, experiments and feature flags, free for up to 1M events a month.
Amplitude's product analytics platform with session replay, experiments, guides and AI agents, free for 2M events a month with unlimited seats.
Study data science in R through nine HarvardX courses, covering statistics, visualization, machine learning, and a final capstone project.
Learn to use Microsoft Copilot across Word, Excel, PowerPoint, Teams, and Outlook, with practical guidance on prompting and data protection.
Explore generative AI with Andrew Ng, covering practical prompting, AI project decisions, workplace applications, and responsible use.
A free, self-paced, project-based lab from WorldQuant University for learners with beginner Python and basic statistics who want applied practice.
Skillshare offers creative and AI-related classes through one membership, suited to exploring practical skills across multiple subjects.
A subscription unlocking LinkedIn Learning's full library of professional courses, including data, BI and AI topics, with a clear.
Build your first Qlik app with free analytics and data integration training, plus learning resources for Qlik Sense and broader data literacy.
Build an MIT machine learning and AI certificate through two core courses and selected electives, with at least 16 qualifying study days.
Study simplex, branch-and-bound, gradient descent, and Newton’s method, with Python, Gurobi, and a facility-location business case study.
Learn linear, integer, and nonlinear optimization with Excel, then explore a staffing case in this introductory operations research course.
Build business analytics skills with Python, SQL, Tableau, and AWS through a three-course MicroMasters from the University of Wisconsin-Madison.
Build Excel models that optimize decisions with Solver, test sensitivity, and simulate uncertainty, in a one-week course from Johns Hopkins.
Learn Green Belt Lean Six Sigma methods and run the statistical analysis in Python, with no coding background needed, in about 17 hours of video.
A 3h 20m Udemy course on demand planning and forecasting practice: accuracy metrics, model selection, outlier handling, and demand reviews.