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: Software Design, Computational Logic, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation
Beginner · Course · 3 - 6 Months
University of Michigan
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Documentation, Model Evaluation, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

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

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

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

University of Michigan
Skills you'll gain: Sustainable Development, Geographic Information Systems, Geospatial Mapping, Sustainability Reporting, Spatial Data Analysis, Sustainable Business, Spatial Analysis, Data Storytelling, Environmental Monitoring, Data Visualization, Stakeholder Engagement, Trend Analysis, Decision Making
Beginner · Course · 1 - 4 Weeks