Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.

Skills you'll gain: Microsoft PowerPoint, Presentations, Data Visualization, Sales Presentation, Data Visualization Software, Interactive Data Visualization, Data Storytelling, Drive Engagement, Business Process
Beginner Ā· Guided Project Ā· Less Than 2 Hours

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Maven Analytics
Skills you'll gain: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Human Resources Software, Data Manipulation, Data Analysis, Microsoft 365, Data Presentation, ChatGPT, Data Visualization, Artificial Intelligence, Generative AI, Prompt Engineering
Beginner Ā· Course Ā· 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Service Level, Software Engineering, Software Architecture, Distributed Computing, Data Architecture, Microservices, Transaction Processing, Test Driven Development (TDD), Blockchain, Big Data, Maintainability, Data Structures, System Monitoring, Databases
Build toward a degree
Advanced Ā· Course Ā· 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 Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Theoretical Computer Science, Performance Tuning
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Storage Technologies, Data Processing, Distributed Computing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, SQL, Data Manipulation, Performance Tuning
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Target Audience, Campaign Management, Data-Driven Decision-Making, Marketing Effectiveness, Performance marketing, Data Validation, Real Time Data, Customer Insights, Trend Analysis, Data Quality, Anomaly Detection, Benchmarking
Beginner Ā· Course Ā· 1 - 4 Weeks

Microsoft
Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Data Literacy, Business Intelligence, Data Processing, Data Collection, Business Analytics, Data Transformation, Data Visualization Software, Data Management
Beginner Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Cloud Deployment, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, Cloud-Based Integration, Scalability
Advanced Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Data Literacy, Interactive Data Visualization, Data Presentation, Data Processing, Data Storytelling, Data Transformation, Data Preprocessing, Data Integration, Data Cleansing, Business Intelligence, Data Import/Export, Data Analysis, Data Quality, Key Performance Indicators (KPIs)
Intermediate Ā· Course Ā· 1 - 4 Weeks