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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: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Product Launch and Post-Launch Management

      Skills you'll gain: Product Lifecycle Management, Product Quality (QA/QC), Quality Assurance, Product Management, Release Management, Sales Strategy, Performance Analysis, Product Development, Product Testing, Promotional Strategies, Marketing Planning, Product Improvement, Product Marketing, Generative AI, Key Performance Indicators (KPIs), Continuous Monitoring, User Feedback, Data-Driven Decision-Making, Cross-Functional Collaboration

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Mastering Spring Framework

      Skills you'll gain: Spring Framework, Java, Software Design Patterns, Object Oriented Programming (OOP), Extensible Markup Language (XML), Dependency Analysis, Maintainability, Software Architecture, Software Design, Testability

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Image Classification on Autopilot with AWS AutoGluon

      Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Predictive Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Cybersecurity Planning, Management, and Compliance

      Skills you'll gain: Cloud Security, Cyber Security Policies, Security Management, Data Management, Records Management, Cloud Computing Architecture, Data Security, General Data Protection Regulation (GDPR), Cloud Computing, Data Governance, Personally Identifiable Information, Information Privacy, Threat Detection, Microsoft Azure, Security Controls

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Teaching Infographics with Genially

      Skills you'll gain: Infographics, Education Software and Technology, Content Creation, Graphic and Visual Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Compare Models with Experiments in Azure ML Studio

      Skills you'll gain: Jupyter, Plot (Graphics), Microsoft Azure, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Visualization, Machine Learning, Regression Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Optimizing Performance of LookML Queries

      Skills you'll gain: Looker (Software), Performance Tuning, Query Languages, Exploratory Data Analysis, Database Management, Continuous Monitoring, System Monitoring

      Intermediate · Project · Less Than 2 Hours

    • U

      University of Michigan

      Introduction to Socially Engaged Design

      Skills you'll gain: Prototyping, Ideation, Engineering Design Process, Human Centered Design, Social Justice, Socioeconomics, Product Engineering, Innovation, Design, Environmental Engineering, Diversity Equity and Inclusion Initiatives, Cultural Responsiveness, Product Requirements

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Grouping, Testing & Quality Control of Pile Foundations

      Skills you'll gain: Product Testing, Structural Engineering, Construction Inspection, Construction Engineering, Construction Estimating, Civil Engineering, Finite Element Methods, Engineering Analysis, Safety Assurance, Simulation and Simulation Software

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Risk Response and Reporting Effectively

      Skills you'll gain: Risk Control, Risk Management, Compliance Reporting, Risk Mitigation, Risk Analysis, Enterprise Risk Management (ERM), Business Risk Management, Continuous Monitoring, Data Management, Key Performance Indicators (KPIs), Stakeholder Communications

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking for K-12 Educators: Conditional Loops and If Statements

      Skills you'll gain: Debugging, Program Development, Programming Principles, Computational Thinking, Education Software and Technology, Diversity Equity and Inclusion Initiatives, Computer Programming, Computer Science, Technical Communication

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Certified Blockchain Security Professional (CBSP) Exam Prep

      Skills you'll gain: Cryptographic Protocols, Blockchain, Cryptography, Encryption, Business Continuity, Application Security, Disaster Recovery, Data Management, Digital Assets, Security Management, Threat Modeling, Vulnerability Assessments, Cybersecurity, Regulatory Compliance, Enterprise Security, Network Security, Data Security, Information Systems Security, Secure Coding, Key Management

      Beginner · Specialization · 1 - 3 Months

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    1…830831832…834

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

    • Product Launch and Post-Launch Management: Microsoft
    • Mastering Spring Framework: Board Infinity
    • Image Classification on Autopilot with AWS AutoGluon: Coursera Project Network
    • Cybersecurity Planning, Management, and Compliance: Microsoft
    • Teaching Infographics with Genially: Coursera Project Network
    • Compare Models with Experiments in Azure ML Studio: Coursera Project Network
    • Optimizing Performance of LookML Queries: Google Cloud
    • Introduction to Socially Engaged Design : University of Michigan
    • Grouping, Testing & Quality Control of Pile Foundations: L&T EduTech
    • Risk Response and Reporting Effectively: 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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