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    • Python For Data Science

    Python for Data Science Courses Online

    Learn Python for data science to analyze, visualize, and model data. Understand Python libraries like Pandas, NumPy, and Matplotlib.

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    Explore the Python for Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Learn English: Beginning Grammar

      Skills you'll gain: Grammar, Vocabulary, English Language, Language Learning, Language Competency

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Big Data, Supervised Learning, Machine Learning Methods, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Anomaly Detection, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Statistical Analysis, Predictive Modeling, Exploratory Data Analysis, Algorithms, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Sustainable Food Systems

      Skills you'll gain: Systems Thinking, Food and Beverage, Nutrition and Diet, Economics, Environmental Science, Environment, Sustainability Reporting, Water Resources, Land Management, Environmental Resource Management, Natural Resource Management, Cultural Diversity, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Development Lifecycle

      Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Engineering Software, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), User Experience Design, Requirements Analysis, Lean Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Building AI Powered Chatbots Without Programming

      Skills you'll gain: Workflow Management, ChatGPT, Application Deployment, IBM Cloud, Artificial Intelligence, Business Process Automation, Generative AI, Automation, Customer Service, Customer experience improvement, Decision Support Systems, Interaction Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Effective Communication: Writing, Design, and Presentation

      Skills you'll gain: Business Writing, Presentations, Peer Review, Graphic Design, Graphic and Visual Design, Business Correspondence, Public Speaking, Business Communication, Graphic and Visual Design Software, Verbal Communication Skills, Design, Visual Design, Storytelling, Writing, Organizational Skills, Project Design, Concision, Writing and Editing, Proofreading, Drive Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Introduction to User Experience Design

      Skills you'll gain: User Experience Design, Prototyping, User Centered Design, Usability, Requirements Analysis, UI/UX Research, Interaction Design, User Interface (UI) Design, Usability Testing, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Entrepreneurship

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Entrepreneurial Finance, Entrepreneurship, Digital Marketing, Business Valuation, Market Opportunities, Proposal Development, Customer Acquisition Management, Peer Review, Branding, Lean Methodologies, Business Metrics, Marketing Strategies, Financial Analysis, Product Development, Due Diligence, Team Building, Ideation, Private Equity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      Learning Chinese : Start From Scratch (零到一學中文)

      Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

      4.5
      Rating, 4.5 out of 5 stars
      ·
      543 reviews

      Beginner · Course · 1 - 3 Months

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    1…515253…834

    In summary, here are 10 of our most popular python for data science courses

    • Learn English: Beginning Grammar: University of California, Irvine
    • Data Mining Methods: University of Colorado Boulder
    • Sustainable Food Systems: University of Illinois Urbana-Champaign
    • Software Development Lifecycle: University of Minnesota
    • Building AI Powered Chatbots Without Programming: IBM
    • Algorithmic Toolbox: University of California San Diego
    • Effective Communication: Writing, Design, and Presentation: University of Colorado Boulder
    • Introduction to User Experience Design : Georgia Institute of Technology
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Mindware: Critical Thinking for the Information Age : University of Michigan

    Frequently Asked Questions about Python For Data Science

    Python is an open-source programming language used in data science that's noted for its beginner-friendly language and versatility. This popular coding language integrates well with multiple software components and works across multiple platforms, such as Windows, Mac, and Linux. It also has an impressive community of support and libraries available for programmers. The programming language has a strong following, with 8.2 million developers around the world, according to ZDNet.‎

    Learning Python for data science can be beneficial because it’s used in many data science applications. The program is popular because it tends to be easy to learn, and the simplicity of the language makes it possible to write code faster and with fewer lines than you need to use in other coding languages. When you learn Python, you may develop a deeper understanding of the methodologies used to collect and analyze data, which can lead to additional interests and career opportunities.‎

    Typical data science careers that use Python are data analysts, software engineers, developers, and network engineers. However, you don’t have to be a coder or developer to benefit from learning Python. Understanding Python can be beneficial to a variety of individuals who work with data, including mathematicians, researchers, accountants, marketers, and product managers.‎

    Through online courses, you can learn the fundamentals of Python and its applications in the field of data science. Some courses show you how to write code in Python, and others explore how to use the language Python to mine data faster and create data visualizations. Lessons may cover topics like Python Extension Libraries, data manipulation in Python, and model development.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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