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.

Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, ChatGPT, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, Business Strategy, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Rust (Programming Language), Development Testing, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Integrated Development Environments, Secure Coding, System Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Data Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Data Processing
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Human Learning, Law, Regulation, and Compliance, Automation
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Workflow Management, No-Code Development, Deepseek, LLM Application, Business Process Automation, Generative AI, Automation, Application Deployment, Data Integration, Data Analysis Software, Google Sheets, Gmail
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Visualization (Computer Graphics), Heat Maps, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Technical Communication, Data Visualization, Oral Expression, Data Presentation, Data Ethics, Laboratory Reports, Scientific Visualization, Technical Writing, Report Writing, Peer Review, Persuasive Communication, Writing, Media and Communications, Graphic and Visual Design, Requirements Analysis, Data Cleansing, Data Science, Editing
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months