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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
      N

      NIIT

      Capstone Project Using Node.js

      Skills you'll gain: API Gateway, Microservices, Restful API, Node.JS, Application Programming Interface (API), Software Architecture, Cloud Computing Architecture, Service Oriented Architecture, Software Development, Back-End Web Development, Full-Stack Web Development

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      CPS Design for Mechatronics, Healthcare, EV & Robotics

      Skills you'll gain: Embedded Systems, Electronic Systems, PIC Microcontrollers, Automation, Control Systems, Programmable Logic Controllers, Internet Of Things, Electronics, Medical Equipment and Technology, Electric Power Systems, Health Technology, Engineering, Electronic Components, Hydraulics, Computer Programming Tools, Real Time Data

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Análisis cualitativo y cuantitativo del riesgo de desastres

      Skills you'll gain: Risk Analysis, Risk Management, Risk Modeling, Project Risk Management, Failure Analysis, Disaster Recovery, Analysis, Vulnerability Assessments, Quantitative Research, Qualitative Research

      4.2
      Rating, 4.2 out of 5 stars
      ·
      9 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Apple Certified Support Professional 10.14

      Skills you'll gain: Peripheral Devices, File Systems, Mac OS, User Accounts, Virtual Private Networks (VPN), File Management, Knowledge of Apple Software, TCP/IP, Data Security, System Configuration, Network Protocols, Network Administration, Network Support, Software Installation, General Networking, Remote Access Systems, Data Management, Systems Administration, Unix Commands, Unix

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Application Modernization for Enterprise Systems

      Skills you'll gain: Event-Driven Programming, DevOps, Data Integration, z/OS, IBM Cloud, Hybrid Cloud Computing, CI/CD, Mainframe Technologies, Mainframe Computing, Cloud Applications, Application Deployment, Cloud-Based Integration, Data Access, Application Performance Management, Microservices, Application Programming Interface (API)

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      مقدمة عن قواعد البيانات

      Skills you'll gain: Database Design, Database Management Systems, SQL, Databases, MySQL, Relational Databases, Query Languages, NoSQL, Data Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Packaging Design for the Circular Economy

      Skills you'll gain: Packaging and Labeling, Waste Minimization, Corporate Sustainability, Reverse Logistics, Logistics, Sustainability Reporting, Material Handling, Product Development, Product Design, Design, Environment and Resource Management, Consumer Behaviour, Innovation, Manufacturing Processes

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Повышение эффективности глубоких нейросетей

      Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Statistical Analysis, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Troubleshooting and Solving Data Join Pitfalls

      Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Data Integration, Data Manipulation

      Beginner · Project · Less Than 2 Hours

    • N

      National Taiwan University

      International Communication and East Asian Affairs (1)

      Skills you'll gain: Media and Communications, International Relations, Electronic Media, Journalism, Culture, Branding, Cultural Diversity, Telecommunications, Digital Communications, Political Sciences, Diplomacy, Digital Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Data Modelling in Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Dashboard, Data Modeling, Interactive Data Visualization, Report Writing, Data Visualization Software, Data Storytelling, Data Transformation, Data Manipulation, Data Presentation, Business Reporting, Data Cleansing, Data Sharing, Data Processing, Data Integrity, Key Performance Indicators (KPIs), Relationship Building

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Management with Azure: Implement Compliance Controls

      Skills you'll gain: Microsoft SQL Servers, Data Security, Microsoft Azure, Cloud Security, Database Management, Data Management, Data Access, Role-Based Access Control (RBAC)

      Intermediate · Guided Project · Less Than 2 Hours

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    1…818819820…834

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

    • Capstone Project Using Node.js: NIIT
    • CPS Design for Mechatronics, Healthcare, EV & Robotics: L&T EduTech
    • Análisis cualitativo y cuantitativo del riesgo de desastres : Banco Interamericano de Desarrollo
    • Apple Certified Support Professional 10.14: Packt
    • Application Modernization for Enterprise Systems: IBM
    • مقدمة عن قواعد البيانات: Meta
    • Packaging Design for the Circular Economy: University of Colorado Boulder
    • Повышение эффективности глубоких нейросетей: DeepLearning.AI
    • Troubleshooting and Solving Data Join Pitfalls: Google Cloud
    • International Communication and East Asian Affairs (1): National Taiwan 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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