Seaborn courses can help you learn data visualization techniques, statistical graphics, and how to create informative plots. You can build skills in customizing visual aesthetics, interpreting data distributions, and enhancing visual storytelling through effective color palettes and themes. Many courses introduce tools like Python and Jupyter Notebooks, which facilitate hands-on practice and real-time data analysis, allowing you to apply your skills in various data-driven projects.

University of Alberta
Skills you'll gain: Biology, Life Sciences, Taxonomy
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Intermediate · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Data Storytelling, Data Presentation, Plot (Graphics), Data Visualization, Matplotlib, Interactive Data Visualization, Data Visualization Software, Seaborn, Data Analysis, Graphic and Visual Design, Python Programming, Jupyter, Pandas (Python Package), Data Manipulation, NumPy
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Inference, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months
Skills you'll gain: Data Storytelling, Data Visualization, Storytelling, Financial Data, Data Visualization Software, Financial Acumen, Finance, Verbal Communication Skills, Presentations, Communication, Plotly, Data Flow Diagrams (DFDs), Matplotlib, Analysis, Seaborn, Customer Engagement
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Data Visualization, Interactive Data Visualization, Plotly, Responsible AI, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks