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    • Python

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    1232 results for "python"

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      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Java Programming, Mobile Development, Data Analysis, Programming Principles, Theoretical Computer Science, Data Visualization, Plot (Graphics), Mathematics, Data Management, Data Structures, Software Engineering, Software Testing, Data Mining, Computational Thinking, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design, Data Science

      4.4

      (1.2k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Michigan

      Statistics with Python

      Skills you'll gain: Probability & Statistics, General Statistics, Statistical Programming, Python Programming, Data Science, Business Analysis, Regression, Computer Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Machine Learning, Machine Learning Algorithms, Econometrics, Data Visualization, Statistical Visualization, Bayesian Statistics, Correlation And Dependence, Data Analysis Software, Estimation, Basic Descriptive Statistics, Mathematics, Plot (Graphics), Programming Principles

      4.6

      (3k reviews)

      Beginner · Specialization · 1-3 Months

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      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming, Data Science

      4.4

      (204 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (9.3k reviews)

      Beginner · Specialization · 1-3 Months

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      University of Colorado Boulder

      Expressway to Data Science: Python Programming

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Analysis, Machine Learning, Accounting, Accounting Software, Computer Networking, Mathematical Theory & Analysis, Mathematics, Network Model, Algebra, Data Science, Data Visualization, Software Engineering

      4.7

      (44 reviews)

      Beginner · Specialization · 1-3 Months

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      University of California, Davis

      Python Basics for Online Research

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

      2.5

      (12 reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM DevOps and Software Engineering

      Skills you'll gain: Software Engineering, DevOps, Cloud Computing, Python Programming, Computer Programming, Kubernetes, Web Development, Continuous Delivery, Continuous Integration, Data Analysis, Programming Principles, Agile Software Development, Data Structures, IBM Cloud, Security Engineering, Operating Systems, Other Web Frameworks, Software Engineering Tools, Software Testing, System Programming, System Software, Algebra, Cloud Applications, Cloud Engineering, Application Development, Cloud Infrastructure, Front-End Web Development, Full-Stack Web Development, Network Security, Software Security, Computer Architecture, Devops Tools, Distributed Computing Architecture, Docker (Software), Scrum (Software Development), Basic Descriptive Statistics, Cloud Management, Cloud Platforms, Cloud Storage, Data Visualization, Data Visualization Software, Design and Product, Exploratory Data Analysis, Leadership and Management, Professional Development, Security Software, Software Architecture, Software As A Service, Software Framework, Theoretical Computer Science, Web Development Tools, BlockChain, Collaboration, Communication, Computational Logic, Computer Graphics, Finance, Human Computer Interaction, Interactive Design, Journalism, Linux, Mathematical Theory & Analysis, Mathematics, Product Design, Product Development, Statistical Programming, Systems Design

      4.6

      (37.3k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Machine Learning with Python

      Skills you'll gain: Data Mining, Machine Learning, Machine Learning Algorithms, Python Programming, General Statistics, Applied Machine Learning, Data Analysis, Regression, Statistical Analysis, Statistical Machine Learning, Deep Learning, Probability & Statistics, Estimation, Algorithms, Data Management, Data Structures, Entrepreneurship, Supply Chain Systems, Supply Chain and Logistics

      4.7

      (13.8k reviews)

      Intermediate · Course · 1-3 Months

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      IBM Skills Network

      Python Project for Data Science

      Skills you'll gain: Python Programming, Statistical Programming, Computer Programming, Data Management, Extract, Transform, Load, Data Analysis, Data Science

      4.5

      (3k reviews)

      Intermediate · Course · 1-4 Weeks

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      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Finance, Computer Programming, Investment Management, Python Programming, Statistical Programming, Data Analysis, Machine Learning, Probability & Statistics, Data Analysis Software, Machine Learning Algorithms, Data Mining, Risk Management, Algorithms, Applied Machine Learning, Theoretical Computer Science, Mathematics, Natural Language Processing, Network Analysis, Leadership and Management, Regression, Accounting, Business Analysis, Computer Science, Financial Analysis, Statistical Analysis

      4.6

      (1.6k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Security Engineering, Cyberattacks, Computer Security Incident Management, Network Security, System Security, Network Model, Computer Networking, Cryptography, Security Strategy, Python Programming, System Software, Cloud Infrastructure, Human Factors (Security), Operating Systems, Computer Programming, Databases, Other Programming Languages, Cloud Computing, Cloud Engineering, DevOps, Linux, Mobile Security, Software Security, Agile Software Development, Application Development, Cloud Management, Computer Architecture, Computer Security Models, Data Analysis, Data Management, Data Structures, Data Warehousing, Database Administration, Database Application, Distributed Computing Architecture, Entrepreneurship, Finance, Leadership and Management, Marketing, Mathematics, Mobile Development, Network Analysis, Network Architecture, Networking Hardware, Regulations and Compliance, SQL, Sales, Security Software, Software Engineering, Software Testing, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (19.5k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Computer Programming, Python Programming, Software Engineering, Software Testing, Computational Logic, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Programming Principles, Statistical Programming, Theoretical Computer Science

      4.7

      (5.4k reviews)

      Beginner · Course · 1-3 Months

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    1234…84

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

    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Statistics with Python: University of Michigan
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Machine Learning: DeepLearning.AI
    • Expressway to Data Science: Python Programming: University of Colorado Boulder
    • Python Basics for Online Research: University of California, Davis
    • IBM DevOps and Software Engineering: IBM Skills Network
    • Machine Learning with Python: IBM Skills Network
    • Python Project for Data Science: IBM Skills Network
    • Investment Management with Python and Machine Learning: EDHEC Business School

    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

    • If you're looking for top-notch and free python courses, Coursera offers a great selection, including Learn to Program in Python, Python Statistics and Financial Analysis, Problem Solving and Programming for Video Games, Data Science and K-Means Clustering in Python, and Python Data Processing.‎

    • The best online courses for Python beginners include Python Crash Course, Python Basics, Python for Applied Data Science and AI, Learn to Program and Python Basics: Interacting with the Internet. These courses cover the basic principles of Python, such as variables and conditionals, functions, classes and object-oriented programming, and can provide a great foundation for those getting started with Python.‎

    • If you're looking for an advanced Python course, consider taking Trees, Graphs, and Basics on Coursera. For a deeper dive into Machine Learning, check out Advanced Machine Learning and Signal Processing. If you're looking to get into web development, try Codio's Advanced Django and Intro to Django Rest Framework. For a course on MLOps and ML platform engineering, take a look at Open Source MLOps Platforms at Duke. Finally, there is Developing Pipelines on Dataflow for those interested in developing custom data pipelines.‎

    • Python is a popular general purpose programming language used for both large and small-scale applications. With Python, you can discover how to bridge web development and data analytics. Python’s widespread adoption is due to its large standard library, easy readability, and support of multiple paradigms such as functional, procedural and object-oriented programming styles. Python modules interact with a variety of databases, making it an excellent choice for large-scale data analysis.The Python programming language is often the best choice for introductory courses in data science and machine learning. If you've been wondering how to learn python online to advance your career, you've come to the right destination. Read this beginner's guide to using Python.

      Python is one of the trending job skills in Coursera's 2020 Global Skills Index (GSI). Download the 2020 edition of the GSI report.‎

    • We recommend these courses for those who wish to learn Python without prior computer programming experience. You might be interested in learning how to automate accounting processes, or ways to bring efficiency to day-to-day marketing analytics and data mining. Python is used in large-scale functions and software engineering jobs, such as game development, machine learning, database management, and more. Regardless of your end goals, this collection covers the fundamentals of programming in Python.‎

    • A quick search of Indeed.com returns over 40,000 job openings with Python programming skills or experience listed as a requirement. The wide adoption of the language across many industries results in a large number of job opportunities. Common job titles include Python Developer, Python Software Engineer, Full Stack Developer and Python Database Programmer. Of the Python-specific jobs listed, 43% of offered salaries are above $100K per year, and some senior-level Python programming engineer positions offer over $200K per year. It’s very fair to say that Python skills and experience can lead to a lucrative and secure career. The proper Python certification can influence hiring managers looking to fill specific roles on their team.‎

    • Following is an excerpt from a Coursera Community forum topic about what programming languages our Community members use.

      "I've been in software development for 50 years (now retired) and languages come and go. If you're into software development, keep active in several, and strive to learn a new and different culture language every year or two. In simple terms today I like Python and JavaScript. For longevity in marketable skills, C and C++ are essential base skills. I used C for over 30 years. Learn Haskell, it'll improve all your other programming skills even if you never use it in a project." - Gordon

      "For data science it is most important to understand and implement algorithms. Python is one of the languages that is really self describing. And one of the major reasons why I use it for data science projects especially machine learning is that it is very light. Anyway, for all my projects that have complicated algorithms, I use OCTAVE for trying out algorithms (since I have all datascience codes stored there). Mainly by breaking it into simpler problems and then in the end I convert it into desired language and join the simpler and shorter algorithms." - Hardi‎

    • Both Python and R are free, open-source languages that can run on Windows, macOS, and Linux. Both can handle just about any data analysis task, and both are considered relatively easy languages to learn, especially for beginners. So which should you choose to learn (or learn first)? Before we dig into the differences, here’s a broad overview of each language. Read this article about the difference between Python and R.‎

    • Before you start learning Python, it can be helpful to have some experience using computers, particularly working with any programming language. However, you don’t need any previous programming experience before learning Python. In fact, Python is typically one of the first languages programmers learn to use because of its simplicity and versatility.‎

    • Some common career paths for someone who knows Python include software development, data analysis, and back-end web applications. If you work in these fields, you may use Python to write, edit, or manage software. You may test and debug code, build websites, or connect applications. Some people may choose to work in education, financial services, computation, or project management after learning Python. They may put their Python skills to work analyzing and computing large data sets or teach others how to use the programming language.‎

    • Some topics related to Python that you can study include other programming languages like Java, Perl, and C++. The skills you develop as you learn Python can be applied to other languages, and you may find that you’re able to learn them faster. If you’re interested in some of the real-world applications of Python, you can explore topics like data science, data analysis, statistics, and scripting. Learning about these fields can help you decide the type of work you want to do as well as other courses you want to take. Additional topics include cybersecurity, cloud architecture, and computer networking.‎

    • The types of places that hire people with a background in Python are as varied as the applications that use the language, and you may find work in public and private organizations. These places may need a computer programmer who can build websites, analyze data, implement security protocols, and write code. Hiring managers for these companies may look for people with a background in Python because the language allows you to take on different roles within the organization, including product management and data analysis.‎

    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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