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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

    • C

      Coursera Instructor Network

      GenAI for Data Science Teams

      Skills you'll gain: Generative AI, Data Ethics, Prompt Engineering, Innovation, Data Modeling, Data Quality, Data Science, Data Processing, Automation, Predictive Modeling

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Airport Infrastructure

      Skills you'll gain: Construction Engineering, Civil Engineering, Architecture and Construction, Construction, Construction Management, Building Design, Facility Management, Energy and Utilities, Electrical Systems, Estimation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Cloud Computing Primer: Infrastructure as a Service (IaaS)

      Skills you'll gain: Infrastructure As A Service (IaaS), Cloud Infrastructure, Cloud Services, Cloud Computing, Service Level Agreement, Cloud Computing Architecture, Cloud Platforms, Virtualization, Application Deployment, User Provisioning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Make a Bill Splitter App with AngularJS

      Skills you'll gain: Model View Controller, Web Development Tools, Web Applications, JavaScript Frameworks, Data Validation, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Hacking COVID-19 — Course 2: Decoding SARS-CoV-2's Secrets

      Skills you'll gain: Bioinformatics, Laboratory Testing, Molecular Biology, Infectious Diseases, Medical Science and Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Managing and Securing the Apigee Hybrid API Platform

      Skills you'll gain: API Gateway, Cloud API, Application Programming Interface (API), Capacity Management, Google Cloud Platform, Application Security, Scalability, Hybrid Cloud Computing, Security Controls, Proxy Servers, Data Security, Application Deployment, Role-Based Access Control (RBAC), Development Environment, Encryption, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Learn Data Integration and Visualization with Elasticsearch

      Skills you'll gain: Kibana, Data Import/Export, Data Visualization Software, Data Integration, Time Series Analysis and Forecasting, Dashboard, Apache Kafka, Histogram, Data Transformation, Exploratory Data Analysis, Data Pipelines, MySQL, SQL

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      R 프로그래밍

      Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Program Development, Data Import/Export, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Español

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Applied Machine Learning, Distributed Computing, Scalability, Data Pipelines, Mobile Development Tools, Data Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring Your Ecommerce Dataset with SQL in Google BigQuery

      Skills you'll gain: Data Cleansing, SQL, Data Quality, Data Transformation, Big Data, Metadata Management, Query Languages, Google Cloud Platform, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Data Lakes, Data Warehousing, Data Pipelines, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Architecture, Data Processing, Business Intelligence, Data Transformation, Data Analysis, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      مقدمة لجداول بيانات جوجل

      Skills you'll gain: Dashboard, Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Data Validation, Productivity Software, Data Entry, Data Analysis Expressions (DAX), Data Visualization, Quality Assessment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

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    1…819820821…834

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

    • GenAI for Data Science Teams: Coursera Instructor Network
    • Airport Infrastructure: L&T EduTech
    • Cloud Computing Primer: Infrastructure as a Service (IaaS): Codio
    • Make a Bill Splitter App with AngularJS: Coursera Project Network
    • Hacking COVID-19 — Course 2: Decoding SARS-CoV-2's Secrets: University of California San Diego
    • Managing and Securing the Apigee Hybrid API Platform: Google Cloud
    • Learn Data Integration and Visualization with Elasticsearch: Packt
    • R 프로그래밍: Johns Hopkins University
    • Production Machine Learning Systems - Español: Google Cloud
    • Exploring Your Ecommerce Dataset with SQL in Google BigQuery: Google Cloud

    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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