Python for Data Science Courses
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.
Popular Python for Data Science Courses and Certifications
University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Computer Programming, Programming Principles, Social Network Analysis, Python Programming, C and C++, Routing Protocols, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Data Literacy, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL, Query Languages
Skills you'll gain: Model Evaluation, Statistical Methods, Data Manipulation, Python Programming, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning Methods, Machine Learning, Statistical Inference, Probability Distribution, Probability
EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Applied Machine Learning, Asset Management, Network Analysis, Investments, Data Visualization Software, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Unstructured Data, Predictive Modeling, Web Scraping, Finance, Risk Management
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software
Rice University
Skills you'll gain: Programming Principles, Python Programming, Computational Logic, Development Environment, Computer Programming, Program Development, Integrated Development Environments, Debugging
University of Michigan
Skills you'll gain: Debugging, Programming Principles, Python Programming, Software Visualization, Data Structures, Scripting Languages, Computer Programming, Scripting, Computational Logic, Computer Graphics, Diagram Design
Skills you'll gain: LinkedIn, Data Analysis, Data Processing, Spreadsheet Software, Case Studies, Analysis, Analytics, Analytical Skills, Interviewing Skills, AI Enablement, Data Visualization Software, Artificial Intelligence, Portfolio Management, Data Cleansing, Data Visualization, Web Presence, Presentations
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Database Management, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Software Development Tools, Data Visualization Software, Cloud Computing, Python Programming
Google
Skills you'll gain: Data Presentation, Interactive Data Visualization, Google Gemini, Analytics, Business Analytics, Performance Measurement, Data Wrangling, AI Personalization, Artificial Intelligence, Performance Analysis, AI Enablement, AI Workflows, Generative AI, Simulation and Simulation Software, Google Workspace, Responsible AI
University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, JSON
Microsoft
Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Test Script Development, Version Control, Matplotlib, Devops Tools, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Data Analysis, Automation, Cloud Computing
In summary, here are 10 of our most popular python for data science courses
- Data Structures and Algorithms: University of California San Diego
- Foundations: Data, Data, Everywhere: Google
- Foundations of ML & Python for Data Science: Packt
- Investment Management with Python and Machine Learning: EDHEC Business School
- Process Data from Dirty to Clean: Google
- Python Programming Essentials: Rice University
- Python Basics: University of Michigan
- Google Data Analytics Capstone: Complete a Case Study: Google
- Introduction to Data Science: IBM
- AI for Data Analysis: Google
