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.

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Operational Efficiency, Peer Review, Marketing Analytics, Marketing Strategies, Data Analysis, Marketing, Performance Measurement, Operations, Analysis, Business Strategies, Digital Advertising, Presentations, Problem Management, Advertising
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Health Information Management, Machine Learning, Applied Machine Learning, Health Care, Model Deployment, Generative Adversarial Networks (GANs), Artificial Neural Networks, Healthcare Project Management, Supervised Learning, Model Evaluation, Machine Learning Methods, Graph Theory, Big Data
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Ethics, Organizational Strategy, AI Enablement, Artificial Intelligence, Strategic Leadership, Cross-Functional Collaboration, Governance, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Business Ethics, Technology Roadmaps, Data Governance, Enterprise Architecture, Organizational Structure, Strategic Prioritization, Scalability, Risk Analysis, Business Risk Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

University of London
Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Diagram Design, Program Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Strategic Decision-Making, Data Management, Strategic Thinking, Information Privacy, Market Research, Ethical Standards And Conduct, Governance, Strategic Leadership, Artificial Intelligence, Market Analysis, Diversity and Inclusion, Regulatory Requirements, Social Studies
Beginner · Course · 1 - 4 Weeks