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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
      Free
      C

      Coursera Project Network

      Design social media content with Piktochart

      Skills you'll gain: Instagram, Facebook, LinkedIn, Content Creation, Social Media Content, Social Media, Marketing Design

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Open Source Software

      Skills you'll gain: Open Source Technology, Package and Software Management, Linux, Shell Script, Linux Administration, Bash (Scripting Language), Unix, Command-Line Interface, Operating Systems, Scripting, Linux Commands, Red Hat Enterprise Linux, File Systems, Systems Administration, Software Installation, Computing Platforms, IT Automation, System Configuration, Database Management, General Networking

      Build toward a degree

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Copenhagen

      Patient Perspectives on Medications: Qualitative Interviews

      Skills you'll gain: Interviewing Skills, Qualitative Research, Research, Research Design, Research Methodologies, Rapport Building, Patient Education and Support, Ethical Standards And Conduct, Non-Verbal Communication, Cultural Sensitivity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring the Public Cryptocurrency Datasets Available in BigQuery

      Skills you'll gain: SQL, Big Data, Data Validation, Query Languages, Data Mining, Business Metrics

      Advanced · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modes of Science Communication

      Skills you'll gain: Oral Expression, Education Software and Technology, Technical Communication, Media and Communications, Writing, Education and Training, Storytelling, Instructional Strategies, Community Outreach, Science and Research, Student Engagement, Content Creation, Photography, Simulations, Photo/Video Production and Technology, Creativity, Music

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Introduction to Replit and Ghostwriter

      Skills you'll gain: Collaborative Software, Integrated Development Environments, Program Development, Debugging, Development Environment, Technical Writing, Computer Programming, Software Development Tools, Generative AI

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Scrimba

      Learn Firebase

      Skills you'll gain: User Accounts, Real Time Data, Authentications, Cloud Applications, Application Development, NoSQL, Serverless Computing, Application Security, Web Applications, Data Management, Data Storage, Cloud Security

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Cybersecurity Architecture Fundamentals

      Skills you'll gain: IT Security Architecture, Threat Modeling, Enterprise Architecture, Cybersecurity, Application Security, Threat Management, Network Security, Security Engineering, Identity and Access Management, Solution Architecture, Information Systems Security, Software Architecture, Endpoint Security, Data Security, Risk Analysis, Remote Access Systems, Risk Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Structures and Algorithm Analysis

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Network Analysis, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Learn to Teach Java: ArrayLists and 2D Arrays

      Skills you'll gain: Java, Computer Programming, Object Oriented Programming (OOP), Test Case, Pseudocode, Debugging, Algorithms, Program Development, Data Structures, Integrated Development Environments

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Improvement Techniques and Control Tools

      Skills you'll gain: Lean Methodologies, Process Improvement, Quality Improvement, Lean Manufacturing, Continuous Improvement Process, Process Optimization, Six Sigma Methodology, Process Management, Quality Control, Employee Training, Waste Minimization

      Beginner · Course · 1 - 3 Months

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    1…828829830…834

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

    • Design social media content with Piktochart: Coursera Project Network
    • Introduction to Open Source Software: Illinois Tech
    • Patient Perspectives on Medications: Qualitative Interviews: University of Copenhagen
    • Inferenzstatistik: Duke University
    • Exploring the Public Cryptocurrency Datasets Available in BigQuery: Google Cloud
    • Modes of Science Communication: University of Colorado Boulder
    • Introduction to Replit and Ghostwriter: Board Infinity
    • Learn Firebase: Scrimba
    • Cybersecurity Architecture Fundamentals: Packt
    • Foundations of Data Structures and Algorithm Analysis: 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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