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
Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Big Data, Data Visualization, Microsoft Excel, Data Analysis, IBM Cognos Analytics, Statistical Visualization, Apache Hadoop, Statistical Analysis, Analytical Skills, Dashboard Creation, Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software
Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Model Deployment, Data Manipulation, Test Script Development, Software Testing, Data Import/Export, Applied Machine Learning, Test Automation, Data Wrangling, Python Programming, Code Reusability, Data Processing, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting
Skills you'll gain: Data-Driven Decision-Making, Data Processing, Data Visualization, Business Analytics, Data Analysis, Strategic Decision-Making, Data Cleansing, Statistical Analysis, Data Preprocessing, Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Descriptive Statistics, Plot (Graphics), Matplotlib, Data Manipulation, Statistical Methods, Customer Analysis, Analytical Skills, Python Programming
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Database Design, Data Wrangling, Shiny (R Package), Ggplot2, Data Presentation, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Interactive Data Visualization, Statistical Analysis, Dashboard, Microsoft Excel, Analytical Skills, R (Software), Excel Formulas, Data Cleansing, Data Manipulation
Skills you'll gain: Dashboard, Data Warehousing, Data Storytelling, SQL, Data Visualization, Dashboard Creation, Database Design, Data Security, Data Migration, Data Governance, Data Presentation, Descriptive Statistics, IBM DB2, Extract, Transform, Load, Data Management, Relational Databases, Databases, Data Architecture, Excel Formulas, Business Intelligence
Skills you'll gain: Software Installation, Code Reusability, Functional Design, Programming Principles, Data Validation, Python Programming, Program Development, Scripting, Software Design, Computational Thinking, Development Environment, Computational Logic, Computer Programming, Algorithms, Command-Line Interface
University of London
Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning
University of Pennsylvania
Skills you'll gain: Research, Energy and Utilities, Research Methodologies, Vocabulary, Climate Change Adaptation, Learning Strategies, Climate Change Mitigation, Literacy, English Language, Environment, Sustainable Technologies, Language Learning, Scientific Methods, Environmental Science, Grammar, Emerging Technologies
Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Data Entry, Analytical Skills, Analysis, Expectation Management, Quantitative Research, Problem Solving, Smart Goals, Communication Strategies
Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis
Rice University
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Theoretical Computer Science, Probability, Video Game Development, Bioinformatics, Interactive Design, Animation and Game Design, Python Programming, Data Analysis, Program Development, UI Components, Computer Programming
University of California San Diego
Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Statistical Machine Learning, Web Frameworks, Classification Algorithms, Machine Learning Methods, Model Training, Data Visualization, Statistical Modeling, Interactive Data Visualization, Design Thinking, Machine Learning, Python Programming
In summary, here are 10 of our most popular python for data science courses
- Data Analysis and Visualization Foundations: IBM
- Python Essentials for MLOps: Duke University
- Perform exploratory data analysis on retail data with Python: Coursera
- IBM Data Analytics with Excel and R: IBM
- IBM Data Management: IBM
- Python Basics: Learn, Apply & Build Programs: EDUCBA
- Mathematics for Computer Science: University of London
- English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
- Ask Questions to Make Data-Driven Decisions: Google
- Data Science Challenge: Coursera
