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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 Michigan

      Creative Coding for Designers Using Python

      Skills you'll gain: Animation and Game Design, Simulations, Computer Graphics, Python Programming, Creative Design, Object Oriented Programming (OOP), Scripting, Computer Programming Tools, Algorithms, Data Structures

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building Batch Data Pipelines on GCP em Português Brasileiro

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Transformation, Data Processing, Big Data, Apache Spark, Serverless Computing, Apache Hadoop, Cloud Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build a Fast Typing Game using Java Swing

      Skills you'll gain: Eclipse (Software), Data Structures, Java, Programming Principles, Game Design, User Interface (UI), Integrated Development Environments

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Utilize CareerBuilder to Find Employment

      Skills you'll gain: Applicant Tracking Systems, Recruitment, Job Analysis, User Accounts, Target Audience

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Identity and Access Management

      Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, Amazon Web Services, Amazon S3, Authorization (Computing), Role-Based Access Control (RBAC), Authentications, Single Sign-On (SSO), User Accounts, Data Security, Multi-Factor Authentication, Encryption

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Artificial Neural Networks with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      مقدمة حول تطوير الواجهات الخلفية

      Skills you'll gain: Responsive Web Design, HTML and CSS, Bootstrap (Front-End Framework), React.js, JavaScript Frameworks, Web Design, Web Development, Hypertext Markup Language (HTML), Web Applications, Cascading Style Sheets (CSS), Front-End Web Development, User Interface (UI), Back-End Web Development, Javascript

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The State University of New York

      Analytics, Law, and Athlete Representation

      Skills you'll gain: Performance Analysis, Law, Regulation, and Compliance, Commercial Laws, Data-Driven Decision-Making, Data Analysis, Financial Data, Regulation and Legal Compliance, Analytics, Professional Networking, Human Development, Contract Negotiation, Negotiation, Relationship Building, Ethical Standards And Conduct

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      The Beginner’s Guide to Business Negotiation

      Skills you'll gain: Negotiation, Contract Negotiation, Influencing, Communication, Relationship Building, Persuasive Communication, Interpersonal Communications, Rapport Building, Verbal Communication Skills, Trustworthiness, Collaboration, Personal Attributes, Active Listening, Goal Setting, Overcoming Obstacles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Effective Strategies for Improving Employee Retention 

      Skills you'll gain: Employee Retention, Employee Engagement, Employee Training, Employee Surveys, Employee Performance Management, Diversity and Inclusion, Compensation and Benefits, Telecommuting, Workforce Management, Constructive Feedback, Virtual Teams, Mental Health Diseases and Disorders

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      React - Working with Higher Order Components

      Skills you'll gain: React.js, JavaScript Frameworks, Javascript and jQuery, TypeScript, Software Design Patterns

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      N

      NIIT

      Building User Interfaces Using Functional React Components

      Skills you'll gain: React.js, Jest (JavaScript Testing Framework), Test Case, Unit Testing, UI Components, Software Testing, Development Testing, Javascript, User Interface (UI), Data Sharing

      Intermediate · Course · 1 - 4 Weeks

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    1…815816817…834

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

    • Creative Coding for Designers Using Python: University of Michigan
    • Building Batch Data Pipelines on GCP em Português Brasileiro: Google Cloud
    • Build a Fast Typing Game using Java Swing: Coursera Project Network
    • Utilize CareerBuilder to Find Employment: Coursera Project Network
    • AWS: Identity and Access Management: Whizlabs
    • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
    • مقدمة حول تطوير الواجهات الخلفية: Meta
    • Analytics, Law, and Athlete Representation: The State University of New York
    • The Beginner’s Guide to Business Negotiation : Coursera Instructor Network
    • Effective Strategies for Improving Employee Retention : Coursera Instructor Network

    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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