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    • Python

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    1243 results for "python"

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      University of Michigan

      Python for Everybody

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Management, SQL, Databases, Extract, Transform, Load, Computer Networking, Network Model, Other Programming Languages, Computational Logic, Computer Programming Tools, Data Structures, Javascript, Natural Language Processing, Programming Principles, Software Architecture, Software Engineering, Theoretical Computer Science, Web Development

      4.8

      (262k reviews)

      Beginner · Specialization · 3-6 Months

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      Google

      Crash Course on Python

      Skills you'll gain: Computer Programming, Python Programming, Data Structures, Programming Principles, Statistical Programming

      4.8

      (30.1k reviews)

      Beginner · Course · 1-3 Months

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      Google

      Google IT Automation with Python

      Skills you'll gain: Computer Programming, Python Programming, Cloud Computing, Computer Programming Tools, Google Cloud Platform, Information Technology, Leadership and Management, Statistical Programming, Theoretical Computer Science, Computational Thinking, Cloud Management, Cloud-Based Integration, Software Engineering, Software Testing, Application Development, Cloud Platforms, Computational Logic, Data Structures, Entrepreneurship, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Software Engineering Tools

      4.7

      (36.9k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Python for Data Science, AI & Development

      Skills you'll gain: Data Analysis, Python Programming, Data Structures, Programming Principles, Algebra, Basic Descriptive Statistics, Exploratory Data Analysis, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Statistical Programming, Theoretical Computer Science

      4.6

      (31.1k reviews)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Python 3 Programming

      Skills you'll gain: Computer Programming, Python Programming, Computer Science, Statistical Programming, Algorithms, Other Programming Languages, Algebra, Communication, Computer Programming Tools, Journalism, Mathematics, Programming Principles, Software Engineering, Theoretical Computer Science

      4.7

      (20.3k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Science

      Skills you'll gain: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Application, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Database Administration, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (108.3k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      University of Michigan

      Python Basics

      Skills you'll gain: Computer Programming, Python Programming, Other Programming Languages, Computer Programming Tools, Statistical Programming

      4.8

      (16.2k reviews)

      Beginner · Course · 1-4 Weeks

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      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Computer Programming, Python Programming, Programming Principles, Statistical Programming

      4.8

      (220k reviews)

      Mixed · Course · 1-3 Months

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      Free

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      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Computer Programming, Python Programming, Computational Thinking, Computational Logic, Business Analysis, Critical Thinking, Entrepreneurship, Leadership and Management, Problem Solving, Programming Principles, Research and Design, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.7

      (6k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      Pontificia Universidad Católica de Chile

      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Programming Principles

      4.4

      (3.9k reviews)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Application, Extract, Transform, Load, Computational Logic, Database Administration, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (53.7k reviews)

      Beginner · Specialization · 3-6 Months

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    1234…84

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

      Skills you can learn in Data Analysis

      Analytics (85)
      Big Data (64)
      Python Programming (47)
      Business Analytics (40)
      R Programming (37)
      Statistical Analysis (36)
      Sql (33)
      Data Model (29)
      Data Mining (27)
      Exploratory Data Analysis (26)
      Data Modeling (21)
      Data Manipulation (20)

      Frequently Asked Questions about Python

      • To start learning Python with a free, beginner-level course, check out Learn to Program: The Fundamentals from the University of Toronto, Problem Solving, Python Programming, and Video Games from the University of Alberta, Foundations of Data Science: K-Means Clustering in Python from the University of London, or Data Processing Using Python from Nanjing University. If you have some Python experience, you may also be interested in the intermediate-level free course, Python and Statistics for Financial Analysis from The Hong Kong University of Science and Technology.

        If you are new to Coursera, you can also register today and start exploring our library of Python courses during your free seven-day, all-access trial. ‎

      • For Python beginners, we recommend starting with courses including Crash Course on Python from Google, Python for Data Science, AI & Development from IBM, or Learn to Program: The Fundamentals from the University of Toronto. If you may want to complete a beginner-level Specialization, we suggest starting with the first course in either the Python for Everybody Specialization or Python 3 Programming Specialization, both from the University of Michigan.

        Each of these courses cover the basic principles of Python, such as variables and conditionals, functions, classes, and object-oriented programming, and can offer a great foundation when you’re getting started with Python. ‎

      • For people with advanced Python skills, we recommend Trees and Graphs: Basics from the University of Colorado, Boulder, part of the advanced Data Science Foundations: Data Structures and Algorithms Specialization. Here are a couple more advanced Python courses we recommend based on specific learning goals:

        • For a deeper dive into machine learning, check out IBM’s Advanced Machine Learning and Signal Processing, part of the Advanced Data Science with IBM Specialization.

        • To get into web development, try Codio’s Advanced Django: Introduction to Django Rest Framework, part of the Advanced Django: Mastering Django and Django Rest Framework Specialization.
        • To learn more about MLOps and ML platform engineering, see Duke University’s Open Source Platforms for MLOps.
        • To learn about developing custom data pipelines, look at Google Cloud’s Serverless Data Processing with Dataflow: Develop Pipelines, part of the Serverless Data Processing with Dataflow Specialization.‎
      • Python is among the most popular programming languages due to its versatility and simple, English-based language structure. With its widespread use, it tends to be an in-demand skill in several fields, including data analysis, software engineering, and IT.

        Although you don’t need a Python certification in order to obtain roles in these fields, certificates can be a valuable credential that signifies your expertise to potential employers. Additionally, through the coursework you’ll complete while pursuing a certificate, you’ll be able to further develop your skills and confidence. You may also complete projects which you can then incorporate into your portfolio to further demonstrate your knowledge and creativity. ‎

      • Python is commonly used in roles relating to data analysis, software engineering, and web development. This general-purpose programming language can be used for a range of tasks, including statistical analysis, data visualization, automation, and machine learning. Some job titles for people that may use Python include data analyst, data scientist, data engineer, quality assurance engineer, Python software engineer, back-end developer, full stack developer, or Python developer.‎

      • Although it can be helpful to have some experience working with any programming language, you don’t need any previous programming experience before getting started with Python. In fact, Python is typically one of the first languages programmers learn because of its simplicity and versatility. At the beginner level, you can learn the fundamentals of Python in a matter of months with programs like the Python for Everybody Specialization from the University of Michigan.

        Read more tips for learning Python.‎

      • Both Python and R are free, open-source languages that can run on Windows, macOS, and Linux. Python can be used for a range of tasks, but is commonly used for data science and data analysis, web application development, and automation or scripting. It tends to be better for handling massive amounts of data, building deep learning models, and performing non-statistical tasks such as web scraping and running workflows.

        R is a statistical programming language and is commonly used for manipulating data, statistical analysis, and data visualization. It tends to be better for creating graphics, building statistical models, and utilizing its robust ecosystem of statistical packages.

        Learn more about whether Python or R is right for you.‎

      • Visit the Learner Help Center for more information about learning on Coursera.‎

      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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