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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

    • Y

      Yale University

      Addiction Treatment: Clinical Skills for Healthcare Providers

      Skills you'll gain: Health Disparities, Motivational Interviewing, Medication Therapy Management, Mental and Behavioral Health, Patient Education And Counseling, Patient Evaluation, Psychiatry, Patient Treatment, Psychotherapy, Treatment Planning, Chronic Diseases, Pharmacology, Health Policy, Care Management, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Introduction

      Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Pedagogy, Instructional Strategies, Professionalism, Instructing, Curriculum Planning, Student Engagement, Professional Development, Learning Theory, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      834 reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Markov Model, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Project Manager

      Skills you'll gain: User Story, Stakeholder Engagement, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Agile Software Development, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Kanban Principles, Team Motivation, Backlogs, Project Schedules, Resource Planning, Project Management, IT Management, Interviewing Skills, Professional Networking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Introduction to Programming with MATLAB

      Skills you'll gain: Matlab, Computer Programming, Programming Principles, UI Components, Software Design, Debugging, Mathematical Software, Development Environment, Computer Science, File Management, Algorithms, Data Import/Export, Data Structures, Engineering Calculations, Plot (Graphics), Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Agile Development

      Skills you'll gain: Usability Testing, Agile Product Development, Continuous Delivery, Agile Software Development, User Story, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Analytics, Business Analytics, Sprint Retrospectives, Product Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Big Data, Supervised Learning, Machine Learning Methods, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Anomaly Detection, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Statistical Analysis, Predictive Modeling, Exploratory Data Analysis, Algorithms, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Statistical Inference, Data Visualization, Data Analysis, Data Presentation, Statistical Methods, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Machine Learning, Statistical Modeling, R Programming, Data Science, Data Validation, Probability & Statistics, Exploratory Data Analysis, Verification And Validation

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Machine Learning, Statistical Methods, Statistical Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Markov Model, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Sustainable Food Systems

      Skills you'll gain: Systems Thinking, Food and Beverage, Nutrition and Diet, Economics, Environmental Science, Environment, Sustainability Reporting, Water Resources, Land Management, Environmental Resource Management, Natural Resource Management, Cultural Diversity, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

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    1…495051…834

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

    • Addiction Treatment: Clinical Skills for Healthcare Providers: Yale University
    • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
    • Game Theory: Stanford University
    • Introduction to Probability and Data with R: Duke University
    • IBM Project Manager: IBM
    • Introduction to Programming with MATLAB: Vanderbilt University
    • Agile Development: University of Virginia
    • Data Mining Methods: University of Colorado Boulder
    • Advanced Statistical Techniques for Data Science: Illinois Tech
    • Bayesian Statistics: University of California, Santa Cruz

    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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