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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

    • U

      University of Illinois Urbana-Champaign

      Empathy, Data, and Risk

      Skills you'll gain: Data Visualization Software, Risk Management, Risk Analysis, Data Storytelling, Tableau Software, Business Risk Management, Stakeholder Management, Decision Making, User Research, Data Analysis, Human Centered Design, Data-Driven Decision-Making, Stakeholder Communications, Psychology

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Migration and health

      Skills you'll gain: Health Disparities, Health Equity, Public Health, Health Systems, Health Care, Health Policy, Immigration Law, Governance, Public Policies, Demography, Policy Analysis, Research

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • B

      Board Infinity

      Google Cloud DevOps Fundamentals

      Skills you'll gain: DevOps, Google Cloud Platform, CI/CD, Application Deployment, Kubernetes, Continuous Integration, Containerization, Software Quality Assurance, Software Testing, Continuous Delivery, Cloud Services, Release Management, Development Environment, Version Control, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Mecánica de materiales

      Skills you'll gain: Structural Analysis, Structural Engineering, Mechanical Engineering, Mechanics, Engineering, Engineering Analysis, Engineering Calculations, Physics, Mathematical Modeling

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing Data Models with LookML 日本語版

      Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Performance Tuning, Exploratory Data Analysis, Data Integration, SQL, Integrated Development Environments, Git (Version Control System)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Go for Cloud and Networks

      Skills you'll gain: Cloud-Native Computing, Cloud Applications, Kubernetes, Go (Programming Language), Microservices, Containerization, Application Deployment, Docker (Software), Software Development, System Monitoring, Scalability, Event-Driven Programming, Unit Testing, Integration Testing

      3
      Rating, 3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Data-Driven Systems: DBMS, SQL & Data Modeling

      Skills you'll gain: Database Design, Database Theory, MongoDB, Database Development, Database Management Systems, Databases, Data Modeling, Database Architecture and Administration, NoSQL, Relational Databases, Unified Modeling Language, SQL, Data Integrity, Query Languages, Performance Tuning, Conceptual Design

      Mixed · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Database to AI: Practical Data Analytics Integration

      Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Database Theory, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Apache Hadoop, NoSQL, Apache Spark, Conceptual Design, MongoDB

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Sustainable Business Strategies

      Skills you'll gain: Sustainability Reporting, Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Business Reporting, Environmental Management Systems, Business Transformation, Business Management, Business Strategies, Business Operations, Operational Efficiency, Supply Chain, Supplier Performance Management, Risk Mitigation, Governance, Environmental Policy, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Comparative Effectiveness and Real-World Evidence

      Skills you'll gain: Clinical Research, Pharmaceuticals, Clinical Trials, Pharmacology, Research Design, Health Policy, Epidemiology, Research Methodologies, Research, Statistical Methods, Real Time Data, Statistical Analysis, Regression Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      ENCOR (350-401) v1.1 Video Training Series

      Skills you'll gain: Routing Protocols, Open Shortest Path First (OSPF), Enterprise Architecture, Network Security, Virtualization, Virtual Local Area Network (VLAN), Border Gateway Protocol, Command-Line Interface, Network Architecture, Network Routing, Ansible, Infrastructure Security, Network Monitoring, Network Troubleshooting, Network Planning And Design, Network Administration, Virtual Machines, Network Infrastructure, Chef (Configuration Management Tool), YAML

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Write Blog Posts With Outranking: Rank Articles With AI

      Skills you'll gain: Search Engine Optimization, Blogs, Keyword Research, Web Analytics and SEO, Content Creation, Content Strategy, Content Performance Analysis, Writing and Editing, Generative AI, Technology Strategies

      Beginner · Guided Project · Less Than 2 Hours

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

    • Empathy, Data, and Risk: University of Illinois Urbana-Champaign
    • Migration and health: Imperial College London
    • Google Cloud DevOps Fundamentals: Board Infinity
    • Mecánica de materiales: Pontificia Universidad Católica de Chile
    • Developing Data Models with LookML 日本語版: Google Cloud
    • Go for Cloud and Networks: Edureka
    • Data-Driven Systems: DBMS, SQL & Data Modeling: Northeastern University
    • Database to AI: Practical Data Analytics Integration: Northeastern University
    • Sustainable Business Strategies: Coursera Instructor Network
    • Comparative Effectiveness and Real-World Evidence: Johns Hopkins University

    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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