Python Data Science Courses
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.
Popular Python Data Science Courses and Certifications
Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Johns Hopkins University
Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Preprocessing, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, MySQL, Application Programming Interface (API)
The University of Edinburgh
Skills you'll gain: Physics, Emerging Technologies, Technical Communication, Physical Science, Computational Thinking, Image Analysis, Engineering, Scientific, and Technical Instruments, Data Analysis Software
Google
Skills you'll gain: Correlation Analysis, Solution Design
Skills you'll gain: Unified Modeling Language, Data Modeling, Data Structures, Scripting, Object Oriented Programming (OOP), Python Programming, Software Design, Computer Programming, Software Engineering
University of Pennsylvania
Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Visionary, Human Development, Creativity
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Governance, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Analysis, Data Management, Model Evaluation, Data Preprocessing, Data Access, Statistical Analysis, Sampling (Statistics), Verification And Validation, Design Strategies, Threat Detection
University of Colorado Boulder
Skills you'll gain: Python Programming, Programming Principles, Data Structures, Computational Logic, Debugging, Maintainability
Amazon Web Services
Skills you'll gain: Software Architecture, Amazon DynamoDB, Database Management, Cloud Applications, Amazon Web Services, Event-Driven Programming, API Gateway, Relational Databases, Cloud Development, Serverless Computing, Python Programming, Cloud API, Service Oriented Architecture, Microservices, NoSQL, Application Development, Web Development, Automation
Google
Skills you'll gain: Data Transformation, JSON, Data Preprocessing, Data Structures
Coursera
In summary, here are 10 of our most popular python data science courses
- Support Vector Machines in Python, From Start to Finish: Coursera
- Basic Statistics in Python (Correlations and T-tests): Coursera
- Getting and Cleaning Data: Johns Hopkins University
- AstroTech: The Science and Technology behind Astronomical Discovery: The University of Edinburgh
- Visualize Data: Google
- Python Scripting: Dates, Classes and Collections: LearnQuest
- Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
- Total Data Quality: University of Michigan
- BiteSize Python for Absolute Beginners: Flow Controls: University of Colorado Boulder
- Developing Applications in Python on AWS: Amazon Web Services
