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.

University of Michigan
Skills you'll gain: ChatGPT, Large Language Modeling, Legal Technology, Natural Language Processing, Data Ethics, Responsible AI, Generative AI, Artificial Intelligence, Social Impact, Economics, Information Privacy
Mixed · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Model Evaluation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Fractal Analytics
Skills you'll gain: Model Context Protocol, AI Security, Threat Modeling, AI Workflows, Secure Coding, LLM Application, Enterprise Architecture, Generative AI Agents, Security Controls, Interoperability, Agentic systems, Generative AI
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
Advanced · Guided Project · Less Than 2 Hours

University of California, Irvine
Skills you'll gain: Goal Setting, Interviewing Skills, Negotiation, Workforce Planning, Professional Development, Compensation and Benefits, Recruitment, Technical Consulting, Communication, Verbal Communication Skills
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours