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    • Python

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    1201 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, Mathematics, Data Management, Data Structures, Software Engineering, Software Testing, Data Mining, Plot (Graphics), Computational Thinking, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design, Data Science

      4.4

      (1.1k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Data Science Foundations: Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Data Management, Mathematics, Operations Research, Research and Design, Strategy and Operations, Computer Programming, Graph Theory, Programming Principles, Mathematical Theory & Analysis, Computational Logic, Operating Systems, Other Programming Languages, System Programming, Python Programming, Statistical Programming

      4.6

      (276 reviews)

      Advanced · Specialization · 1-3 Months

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      Meta

      Meta Database Engineer

      Skills you'll gain: Statistical Programming, Computer Programming, SQL, Databases, Python Programming, Programming Principles, Software Engineering, Software Engineering Tools, Data Management, Theoretical Computer Science, Algorithms, Software Testing, Computer Programming Tools, Database Administration, Database Application, Entrepreneurship, Market Research, Research and Design, Data Structures, Database Design, Javascript, Software Architecture, Web Development, Accounting, Application Development, Applied Machine Learning, Business Analysis, Collaboration, Communication, Computational Thinking, Computer Science, Data Analysis, Data Model, Data Warehousing, Database Theory, Django (Web Framework), Exploratory Data Analysis, Financial Analysis, Human Computer Interaction, Journalism, Leadership and Management, Linux, Machine Learning, Mathematics, Operating Systems, Operations Research, Other Programming Languages, Probability & Statistics, Project Management, Strategy and Operations, User Experience

      4.7

      (1.9k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Advanced Data Science with IBM

      Skills you'll gain: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science

      4.3

      (2.9k reviews)

      Advanced · Specialization · 3-6 Months

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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, Algorithms, Applied Machine Learning, 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

      (8k reviews)

      Beginner · Specialization · 1-3 Months

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      University of California, Davis

      Python Basics: Automation and Bots

      Intermediate · Course · 1-4 Weeks

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      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Analysis, Data Visualization, Data Mining, Plot (Graphics), Data Science

      4.6

      (295 reviews)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      IBM Full Stack Software Developer

      Skills you'll gain: Web Development, Cloud Computing, IBM Cloud, Software Engineering, Python Programming, Other Web Frameworks, Computer Programming, Javascript, Kubernetes, Data Analysis, Django (Web Framework), Data Structures, Programming Principles, Software Engineering Tools, DevOps, Cloud Applications, Algebra, Computer Programming Tools, Databases, Front-End Web Development, Cloud Engineering, Back-End Web Development, Full-Stack Web Development, HTML and CSS, React (web framework), Devops Tools, Web Development Tools, Cloud Infrastructure, Application Development, Cloud Foundry, Cloud Platforms, Docker (Software), SQL, Software Architecture, Theoretical Computer Science, Computer Architecture, Distributed Computing Architecture, Cloud Management, Cloud Storage, Network Security, Software As A Service, Basic Descriptive Statistics, Continuous Delivery, Data Management, Design and Product, Exploratory Data Analysis, Human Computer Interaction, NoSQL, Software Testing, Statistical Programming, User Experience, User Research, Advertising, BlockChain, Communication, Computational Logic, Computer Graphics, Computer Science, Continuous Integration, Database Administration, Database Application, Database Design, Finance, Interactive Design, Journalism, Marketing, Mathematical Theory & Analysis, Mathematics, Operating Systems, Security Engineering, Software Framework, System Programming, Systems Design, Web Design

      4.6

      (34.9k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Coursera Project Network

      Python 101: Develop Your First Python Program

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

      4.7

      (160 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Universidad de los Andes

      Programación en Python

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

      4.6

      (92 reviews)

      Beginner · Course · 1-4 Weeks

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      Rice University

      Python Programming Essentials

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

      4.8

      (3.3k reviews)

      Beginner · Course · 1-4 Weeks

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      University of Pennsylvania

      Introduction to Python Programming

      Skills you'll gain: Python Programming, Computer Programming, Statistical Programming, Mathematics, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design, Programming Principles

      4.4

      (806 reviews)

      Beginner · Course · 1-4 Weeks

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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
    • Data Science Foundations: Data Structures and Algorithms: University of Colorado Boulder
    • Meta Database Engineer: Meta
    • Advanced Data Science with IBM: IBM Skills Network
    • Machine Learning: DeepLearning.AI
    • Python Basics: Automation and Bots: University of California, Davis
    • Data Analysis Using Python: University of Pennsylvania
    • IBM Full Stack Software Developer: IBM Skills Network
    • Python 101: Develop Your First Python Program: Coursera Project Network
    • Programación en Python: Universidad de los Andes

    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

    • 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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