Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Apache Kafka, Data Loss Prevention, Performance Tuning, System Monitoring, Prometheus (Software), Scalability, Real Time Data, Grafana, Process Optimization, Distributed Computing, System Configuration, Command-Line Interface, Content Strategy
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: User Interface (UI), Computational Thinking, HTML and CSS, Interactive Design, Web Development, Programming Principles, Web Design, Javascript, Event-Driven Programming, Computer Programming, Algorithms, Image Analysis, Cascading Style Sheets (CSS), Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation
Mixed · Course · 1 - 4 Weeks

Northwestern University
Skills you'll gain: Robotics, Machine Controls, Control Systems, Automation Engineering, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Artificial Intelligence, Vibrations, Applied Mathematics, Engineering Analysis, Automation, Virtual Environment, Torque (Physics), Graph Theory, Matlab
Intermediate · Specialization · 3 - 6 Months
University of Colorado Boulder
Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Simulations, Physical Science
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms
Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Model Deployment, Generative AI, Transfer Learning, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), AI Orchestration, Large Language Modeling, AI Security, Performance Tuning, Continuous Deployment, Continuous Monitoring, Development Environment, Process Optimization, Automation, Job Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Model Deployment, AI Orchestration, Model Evaluation, Containerization
Advanced · Course · 1 - 3 Months