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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
      J

      Johns Hopkins University

      Artificial Intelligence in Social Media Analytics

      Skills you'll gain: Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Semantic Web, Analysis

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Cloud IAM: Qwik Start

      Skills you'll gain: Identity and Access Management, Role-Based Access Control (RBAC), Google Cloud Platform, Cloud Management, Authorization (Computing)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Master Java Web Services and REST API with Spring Boot

      Skills you'll gain: Web Services, Spring Framework, Simple Object Access Protocol (SOAP), Spring Boot, Restful API, Hibernate (Java), Java, API Design, JSON, JUnit, Software Documentation, Object-Relational Mapping, Extensible Markup Language (XML)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Beyond the Basics: Expand Your Copilot for Sales Expertise

      Skills you'll gain: Microsoft Copilot, Forecasting, Revenue Forecasting, Sales Pipelines, Sales Strategy, Sales, Sales Enablement, Sales Management, Microsoft 365, Microsoft Teams, Artificial Intelligence, Ethical Standards And Conduct, Prompt Engineering, Data Integration, Data Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Connecting to Devices and Networks

      Skills you'll gain: Firewall, Network Monitoring, TCP/IP, Data Storage, Network Protocols, Network Troubleshooting, General Networking, Linux, Command-Line Interface, Data Storage Technologies, System Configuration, Network Security, File Management

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Introduction to JavaScript Arrays

      Skills you'll gain: Web Development Tools, Data Structures, Javascript, Scripting, Scripting Languages, Programming Principles

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Heavy Manufacturing of Typical Static Equipment

      Skills you'll gain: Equipment Design, Plant Operations and Management, Manufacturing Processes, Chemical Engineering, Process Engineering, Mechanical Engineering, Manufacturing Operations, Production Process, Mechanical Design, Engineering Practices, Engineering Design Process

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Solidity In-Depth: Arrays, Mappings, and Advanced Structures

      Skills you'll gain: Data Structures, Blockchain, Data Management, Object Oriented Programming (OOP), Cryptography, Application Security, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Recoger datos con SurveyMonkey

      Skills you'll gain: Employee Surveys, User Accounts, Social Media, User Feedback, Data Sharing, Presentations, Data Analysis Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      PowerShell for Automating Administration

      Skills you'll gain: Windows PowerShell, Scripting, Systems Administration, Automation, Windows Servers, Data Validation, Server Administration, Software Installation, Data Import/Export, Service Management, Cloud Computing, Remote Access Systems, Extensible Markup Language (XML), Debugging

      2.8
      Rating, 2.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring NCAA Data with BigQuery

      Skills you'll gain: Big Data, Google Cloud Platform, Analytics, Data Analysis, SQL, Query Languages

      Beginner · Project · Less Than 2 Hours

    • D

      Duke University

      برمجة Java: المصفوفات، والقوائم، والبيانات المصنفة

      Skills you'll gain: Object Oriented Programming (OOP), Java, Algorithms, Data Structures, Encryption, Computer Programming, Software Engineering, File Management, Data Import/Export, Web Applications

      Beginner · Course · 1 - 3 Months

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    1…821822823…834

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

    • Artificial Intelligence in Social Media Analytics: Johns Hopkins University
    • Cloud IAM: Qwik Start: Google Cloud
    • Master Java Web Services and REST API with Spring Boot: Packt
    • Beyond the Basics: Expand Your Copilot for Sales Expertise: Microsoft
    • Connecting to Devices and Networks: Codio
    • Introduction to JavaScript Arrays: Coursera Project Network
    • Heavy Manufacturing of Typical Static Equipment: L&T EduTech
    • Solidity In-Depth: Arrays, Mappings, and Advanced Structures: Packt
    • Recoger datos con SurveyMonkey: Coursera Project Network
    • PowerShell for Automating Administration: Packt

    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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