Your Ultimate Resource for Data and AI

LinkedIn Learning Subscription

All-Access Subscriptions

A subscription unlocking LinkedIn Learning's full library of professional courses, including data, BI and AI topics, with a clear.

Data Science Lab (WorldQuant)

Data Science Bootcamps & Certificates

A free, self-paced, project-based lab from WorldQuant University for learners with beginner Python and basic statistics who want applied practice.

Business: Data, Insights and Analytics MicroMasters Program

Business Analytics Bootcamps & Certificates

Build business analytics skills with Python, SQL, Tableau, and AWS through a three-course MicroMasters from the University of Wisconsin-Madison.

Advanced Business Analytics Specialization (CU Boulder)

Business Analytics Bootcamps & Certificates

A five-course CU Boulder Specialization teaching SQL, predictive modeling, optimization, and presenting results, built around Excel tools.

Business Analytics with Excel: Elementary to Advanced (Johns Hopkins)

Business Analytics Bootcamps & Certificates

Six-module Johns Hopkins course on Excel modeling: regression, linear and integer programming, and Solver for real business decisions.

Supply Chain Analytics Specialization (Rutgers)

Operations & Supply Chain Analytics

A beginner-friendly, six-course Rutgers specialization that teaches supply chain problem framing, forecasting, inventory and sourcing analytics.

MITx MicroMasters Program in Supply Chain Management

Operations & Supply Chain Analytics

A graduate-level MIT sequence of five courses plus a final exam covering supply chain analytics, design, dynamics and technology, taught online.

Operations Analytics (Wharton)

Operations & Supply Chain Analytics

A beginner-friendly Wharton course on using Excel, forecasting, optimization, simulation, and decision trees to match supply with demand.

Demand Planning & Forecasting - Best Practices

Operations & Supply Chain Analytics

A 3h 20m Udemy course on demand planning and forecasting practice: accuracy metrics, model selection, outlier handling, and demand reviews.

Lean Six Sigma Green Belt Online Course with Python

Operations & Supply Chain Analytics

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.

Advanced Business Analytics: Excel Optimization & Simulation (Johns Hopkins)

Optimization & Decision Modeling

Build Excel models that optimize decisions with Solver, test sensitivity, and simulate uncertainty, in a one-week course from Johns Hopkins.

Business Metrics for Data-Driven Companies (Duke)

Business Analytics Bootcamps & Certificates

Learn business metrics, cash flow, web marketing, and analytics job roles with Duke University's eight-hour, self-paced Coursera course.

Business Analytics Specialization (Wharton)

Business Analytics Bootcamps & Certificates

Five Wharton-created courses covering customer, operations, people and accounting analytics, finished with a Yahoo-designed capstone project.

Machine Learning Deep Dive: Business Applications and Coding Walkthroughs

Machine Learning

An advanced, three-hour course where Netflix data scientist Jeff Li and Ken Jee link ML algorithms to business cases and code models from scratch.

People Analytics (Wharton)

People & HR Analytics

Wharton's People Analytics course teaches data-driven hiring, performance evaluation, and workforce management skills for modern leaders.

Introduction to Deep Learning with PyTorch

Deep Learning & Neural Networks

Learn PyTorch fundamentals through hands-on exercises covering neural networks, training loops, classification, regression, and model evaluation.

Deep Learning Specialization (DeepLearning.AI)

Deep Learning & Neural Networks

Five-course sequence from DeepLearning.AI covering neural networks, CNNs, RNNs and transformers, taught by Andrew Ng with Python and TensorFlow.

Machine Learning in Production (DeepLearning.AI)

MLOps & Model Deployment

Explore production ML with Andrew Ng, covering deployment choices, error analysis, data quality, and monitoring across three focused modules.

Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines

MLOps & Model Deployment

Build a house-price prediction pipeline with MLflow, FastAPI, Docker, and Kubernetes while learning CI/CD workflows for machine learning.

Data Engineering, Big Data, and Machine Learning on GCP Specialization

Cloud Data Platforms

Learn Google Cloud data engineering through four courses covering storage, batch and streaming pipelines, and practical machine learning labs.

Snowflake - The Complete Masterclass

Cloud Data Platforms

Learn Snowflake through guided lessons, assignments, and quizzes, with coverage spanning warehouse fundamentals and more advanced platform topics.

Data Warehousing Concepts

Data Warehousing & Modeling

A beginner-friendly DataCamp course covering data warehouse fundamentals, architecture, and schema design using real industry data.

Statistics with Python Specialization (Michigan)

Math & Statistics

A three-course University of Michigan series teaching statistical visualization, inference, and regression modeling in Python, at beginner level.

Introduction to Statistics (Stanford)

Math & Statistics

A beginner-level Stanford course covering descriptive stats, probability, regression, and hypothesis tests, taught across 12 self-paced modules.

Time Series Analysis in Python

Forecasting & Time Series

A four-hour intermediate DataCamp course on time series in Python, from autocorrelation and AR/MA models to cointegration, with finance examples.

Foundations of Marketing Analytics Specialization (Emory)

Marketing & Customer Analytics

A six-course specialization teaching marketing analytics skills using Excel, from exploratory data analysis to predictive modeling and forecasting.

Financial Engineering and Risk Management Specialization

Financial Analytics

Build core quantitative finance skills in derivative pricing, risk modeling, and portfolio optimization through Columbia University specialization.

Machine Learning for Finance in Python

Financial Analytics

An intermediate Python course covering linear models, decision trees, random forests, and neural nets to predict stock prices and build portfolios.