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 Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control
Intermediate · Course · 1 - 4 Weeks

Case Western Reserve University
Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)
Intermediate · Specialization · 3 - 6 Months

EIT Digital
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Algorithms, Data Analysis
Intermediate · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Database Systems, Relational Databases, Database Management, SQL, Databases, Database Design, Database Architecture and Administration, Information Systems, MySQL, Data Modeling, Transaction Processing, Information Systems Security, Performance Tuning, Conceptual Design
Intermediate · Course · 1 - 3 Months

EIT Digital
Skills you'll gain: Data Ethics, Systems Design, Usability, System Requirements, Machine Learning Algorithms, Innovation, Algorithms, Predictive Modeling, Data-Driven Decision-Making, Applied Machine Learning, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Graphing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Literacy, NumPy, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Predictive Modeling, Classification And Regression Tree (CART), Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Data Processing, Artificial Neural Networks, Performance Metric
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, Regulation and Legal Compliance, Generative AI, Legal Risk, Operational Risk, Business Ethics, Intellectual Property, Business Risk Management, Personally Identifiable Information, Data Security
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Analysis, Requirements Analysis, Exploratory Data Analysis, Statistical Programming, Data Manipulation, Data Cleansing, Data Transformation
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dimensionality Reduction, Feature Engineering, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours