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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

    • P

      Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Data Cleansing, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Regression Analysis, Supervised Learning, Performance Tuning

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

      Skills you'll gain: Machine Learning, Data Ethics, Predictive Modeling, Technical Communication, Predictive Analytics, Supervised Learning, Analytical Skills, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Regression Analysis, Data Validation, Statistical Analysis, Data Visualization, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Design social media content with Piktochart

      Skills you'll gain: Instagram, Facebook, LinkedIn, Content Creation, Social Media Content, Social Media, Marketing Design

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Structures and Algorithm Analysis

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Network Analysis, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Leadership in the Family Business

      Skills you'll gain: Succession Planning, Governance, Leadership and Management, Leadership, Business Leadership, Strategic Leadership, Leadership Development, Talent Management, Organizational Structure, Business Continuity, Entrepreneurship, Conflict Management, Business Economics, Decision Making

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Data Structures Using Python - An Introduction

      Skills you'll gain: Data Structures, Graph Theory, Network Model, Python Programming, Algorithms, Debugging, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Healthcare Financial Management Fundamentals

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Balance Sheet, Financial Analysis, Income Statement, Budgeting, Financial Management, Financial Planning, Health Care Administration, Financial Forecasting, Loans, Key Performance Indicators (KPIs), Capital Markets

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Archaeology: Reconstruction of The Past

      Skills you'll gain: Ancient History, Anthropology, Social Studies, Culture, World History, Scientific Methods, Research, Human Development, Biology, Cultural Diversity, Environment, Research Methodologies

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Verification and Synthesis of Autonomous Systems

      Skills you'll gain: Computational Logic, Verification And Validation, Automation, Theoretical Computer Science, Systems Analysis, System Requirements, Simulations, Artificial Intelligence, Algorithms, Linear Algebra

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Check Point Software Technologies Ltd.

      Check Point Jump Start: Harmony Endpoint Security

      Skills you'll gain: Endpoint Security, Threat Detection, Malware Protection, Security Management, Cybersecurity, Remote Access Systems, Zero Trust Network Access, Application Deployment, Software Installation, Infrastructure Architecture, Linux Administration, Systems Architecture, Linux, Software Versioning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Advanced Retrieval for AI with Chroma

      Skills you'll gain: Large Language Modeling, Feature Engineering, Information Management, Text Mining

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Global Impact: Multiculturalism

      Skills you'll gain: Diversity Marketing, Cultural Diversity, Consumer Behaviour, Cultural Sensitivity, Global Marketing, Diversity and Inclusion, Marketing, Advertising, Advertising Campaigns, Team Leadership, Target Market, Marketing Communications, Language Interpretation, Translation, and Studies, Marketing Strategies

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Deep Neural Network for Beginners Using Python: Packt
    • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
    • Design social media content with Piktochart: Coursera Project Network
    • Foundations of Data Structures and Algorithm Analysis: Packt
    • Leadership in the Family Business: Tecnológico de Monterrey
    • Data Structures Using Python - An Introduction: Packt
    • Healthcare Financial Management Fundamentals: Northeastern University
    • Introduction to Archaeology: Reconstruction of The Past: Rice University
    • Verification and Synthesis of Autonomous Systems: University of Colorado Boulder
    • Check Point Jump Start: Harmony Endpoint Security: Check Point Software Technologies Ltd.

    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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