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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

      Human Capital: Foundations and Essentials

      Skills you'll gain: Human Capital, Human Resources, Human Resource Strategy, HR Tech, People Analytics, Employee Engagement, Workforce Development, Compensation Management, Compensation Strategy, Employee Retention, Legal Risk, Labor Law, Organizational Leadership, Health And Safety Standards, Communication Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Cómo importar datos y crear visualizaciones en Python

      Skills you'll gain: Matplotlib, Data Visualization Software, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Product Strategy: Lifecycle, Data Insights, Collaboration

      Skills you'll gain: Product Lifecycle Management, Product Strategy, Product Management, Product Roadmaps, Strategic Leadership, Customer Insights, Market Data, Market Research, Data-Driven Decision-Making, Cross-Functional Collaboration, Team Building, Digital Media Strategy, Innovation, Trend Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      إنشاء رسوم بيانية على جداول بيانات غوغل

      Skills you'll gain: Google Sheets, Graphing, Data Presentation, Spreadsheet Software, Scatter Plots, Pivot Tables And Charts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      الشبكات العصبونية الالتفافية

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Applied Machine Learning, Machine Learning Methods, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      محاسبة المقبوضات والديون المعدومة

      Skills you'll gain: Accounts Receivable, Customer Analysis, Accounting, Accounting Records, Bankruptcies, Credit Risk, Balance Sheet, Financial Analysis, Sales Process

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for the Google Cloud Professional Data Engineer Exam en Español

      Skills you'll gain: Business Process, Process Optimization, Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Data Quality, Data Presentation, Google Cloud Platform, Data Modeling, Data Management, Machine Learning, Data Analysis, Big Data, Scalability, Cloud Security, Cloud Storage

      Advanced · Course · 1 - 3 Months

    • I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Machine Learning Algorithms, Data Processing, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Develop a UX Customer Problem Statement in Miro

      Skills you'll gain: User Experience Design, Design Thinking, User Experience, Customer experience strategy (CX), Business Intelligence, User Story, Customer Analysis, Collaborative Software

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Climate change education: sustainable environments

      Skills you'll gain: Environment, Water Resources, Environmental Issue, Civil Engineering, Environment and Resource Management, Environmental Science, Environment Health And Safety, Land Management, Natural Resource Management, Public Health, Community Development, Biology, Mitigation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with AWS CloudFormation

      Skills you'll gain: AWS CloudFormation, Amazon Web Services, Cloud Infrastructure, Infrastructure as Code (IaC), Application Deployment, IT Automation

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Digital Marketing Institute

      An Introduction to Digital Marketing and Digital Strategy

      Skills you'll gain: Marketing Budgets, Customer experience strategy (CX), Cross-Channel Marketing, Digital Media Strategy, Digital Marketing, Digital Transformation, Marketing Planning, Marketing Effectiveness, Marketing Strategy and Techniques, Marketing Channel, Customer Insights, Return On Investment, Agile Methodology, Consumer Behaviour, Key Performance Indicators (KPIs), Social Media

      Beginner · Course · 1 - 4 Weeks

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    1…828829830…834

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

    • Human Capital: Foundations and Essentials: University of Michigan
    • Cómo importar datos y crear visualizaciones en Python: Coursera Project Network
    • Product Strategy: Lifecycle, Data Insights, Collaboration: Coursera Instructor Network
    • إنشاء رسوم بيانية على جداول بيانات غوغل: Coursera Project Network
    • الشبكات العصبونية الالتفافية: DeepLearning.AI
    • محاسبة المقبوضات والديون المعدومة: Alfaisal University | KLD
    • Preparing for the Google Cloud Professional Data Engineer Exam en Español: Google Cloud
    • Data Mining for Smart Cities: IIT Roorkee
    • Develop a UX Customer Problem Statement in Miro: Coursera Project Network
    • Climate change education: sustainable environments: Banco Interamericano de Desarrollo

    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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