Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.

Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback
Beginner Ā· Course Ā· 1 - 4 Weeks

Universitat PolitĆØcnica de ValĆØncia
Skills you'll gain: Pandas (Python Package), Matplotlib, Seaborn, Data Visualization, Data Visualization Software, Time Series Analysis and Forecasting, Statistical Visualization, Box Plots, Statistical Analysis, Exploratory Data Analysis, Data Analysis, Data Manipulation, Scatter Plots, Histogram, Data Structures, Python Programming
Intermediate Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression
Mixed Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Debugging, Algorithms, Problem Solving, Data Processing, Python Programming, Software Development, Data Analysis
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Processing, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Intermediate Ā· Specialization Ā· 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
Beginner Ā· Specialization Ā· 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Pseudocode, Computational Thinking, Analysis, Python Programming
Build toward a degree
Intermediate Ā· Course Ā· 1 - 4 Weeks

Northeastern University
Skills you'll gain: Web Applications, Object Oriented Programming (OOP), Application Development, Python Programming, Computer Programming, Programming Principles, Data Science, Data Analysis, Scripting, Data Structures, Debugging, Style Guides, Software Documentation
Beginner Ā· Course Ā· 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication
Beginner Ā· Specialization Ā· 1 - 3 Months