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: Exploratory Data Analysis, Data Storytelling, Ggplot2, Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Data Visualization Software, Statistical Visualization, Data Quality, Anomaly Detection, Descriptive Statistics, Correlation Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Fraud detection, Anomaly Detection, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills, Machine Learning Methods, Threat Detection, Unsupervised Learning, Risk Analysis, Advanced Analytics, Analytics, Predictive Analytics, Data-Driven Decision-Making, Supervised Learning, Big Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Analytical Skills
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Apache Hadoop, Scala Programming, Spring Boot, Development Environment, Apache, JSON, Data Processing, Information Architecture, Live Streaming, Data Transformation, Java, Restful API, Performance Tuning, Software Architecture, Data Validation, System Configuration
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data Visualization Software, Looker (Software), Data Literacy, Health Informatics, Technical Communication, Clinical Informatics, Data Mapping, Scatter Plots, Spatial Data Analysis, Data Analysis, Health Technology, Geospatial Mapping, Health Care, Business Metrics
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Pseudocode, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, User Interface (UI), Problem Solving, Software Design
Beginner · Specialization · 3 - 6 Months

California Institute of the Arts
Skills you'll gain: Information Architecture, Wireframing, User Interface and User Experience (UI/UX) Design, Persona (User Experience), Mockups, User Experience Design, Responsive Web Design, UI/UX Strategy, Web Design, Adobe XD, User Interface (UI) Design, User Experience, User Centered Design, Interaction Design, Prototyping, Graphic and Visual Design, Web Language, Design, Design Elements And Principles, User Research
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Visualization Software, Marketing Analytics, Key Performance Indicators (KPIs), Performance Measurement, Data Storytelling, Business Reporting, Trend Analysis, Grafana, Dashboard, Tableau Software, Performance Reporting, Power BI, Time Series Analysis and Forecasting, Descriptive Analytics, Data Sharing, Data Integration, Stakeholder Communications
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unified Modeling Language, Software Design, Image Analysis, Python Programming, Jupyter, Software Engineering, Application Programming Interface (API), Object Oriented Programming (OOP), Computer Vision, Integrated Development Environments, Computer Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Intermediate · Specialization · 3 - 6 Months