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    • Python

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    1232 results for "python"

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      Coursera Project Network

      Data Analysis in Python: Using Pandas DataFrames

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

      Intermediate · Guided Project · Less Than 2 Hours

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      Infosec

      Python for Cybersecurity

      Skills you'll gain: Computer Programming, Python Programming, Security Engineering, Statistical Programming, Operating Systems, System Security, Computer Networking, Cryptography, Cyberattacks, Network Security, Computer Programming Tools, Computer Security Incident Management, Mathematics, Network Analysis, Software Security

      4.5

      (280 reviews)

      Intermediate · Specialization · 3-6 Months

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      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Business Analysis, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Probability & Statistics, Python Programming, Statistical Programming

      4.5

      (356 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Create Your First Chatbot with Rasa and Python

      Skills you'll gain: Computer Programming, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming

      4.5

      (802 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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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

      (162 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      Ciencia de Datos de IBM

      Skills you'll gain: Statistical Programming, Data Analysis, Computer Programming, Python Programming, Data Management, Databases, SQL, Machine Learning, Probability & Statistics, Big Data, Computer Programming Tools, Data Visualization, Regression, General Statistics, Mathematics, Algorithms, Machine Learning Algorithms, Theoretical Computer Science, R Programming, Econometrics, Data Model, Data Mining, Web Development

      4.6

      (694 reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Applied AI

      Skills you'll gain: Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Statistical Programming, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools

      4.6

      (42.7k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Free

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      National Taiwan University

      用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1))

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

      4.9

      (774 reviews)

      Beginner · Course · 1-3 Months

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      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Operating Systems, Network Model, System Software, Security Engineering, Network Security, Cryptography, Cyberattacks, Computer Security Incident Management, Networking Hardware, Business Communication, Communication, Computer Architecture, Hardware Design, Mathematics, Network Architecture, Security Strategy, Writing, Databases, Web Development, Web Development Tools, Cloud Computing, Cloud Platforms, Cloud Storage, Computer Graphics, Data Architecture, Data Management, Database Administration, Database Application, Emotional Intelligence, Entrepreneurship, Human Computer Interaction, Leadership and Management, Marketing, Microarchitecture, Planning, Problem Solving, Product Lifecycle, Sales, Security Software, Software As A Service, Software Security, Strategy, Strategy and Operations, Supply Chain and Logistics, System Programming, System Security, Systems Design, Theoretical Computer Science, Virtual Reality

      4.8

      (165.9k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Free

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      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Leadership and Management, Entrepreneurship, Problem Solving, Research and Design, Computer Programming Tools, Software Engineering, Theoretical Computer Science, Application Development, Computational Logic, Computational Thinking, Design and Product, Product Design, Programming Principles, Machine Learning, Mathematical Theory & Analysis, Mathematics, Planning, Software Testing, Supply Chain and Logistics, Algorithms, Natural Language Processing, Computer Science

      4.3

      (201 reviews)

      Beginner · Course · 1-3 Months

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      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Computer Programming, Statistical Programming, Python Programming, Data Management, Cloud Computing, Theoretical Computer Science, Databases, Software Engineering, Computer Programming Tools, Human Computer Interaction, Software Architecture, User Experience, Operating Systems, Amazon Web Services, Linux, Extract, Transform, Load, Data Structures, SQL, Cloud Platforms, Machine Learning, Systems Design, Apache, Application Development, Big Data, Data Analysis, Data Engineering, DevOps, Programming Principles, Software Engineering Tools, Database Administration, Database Application, Applied Machine Learning, Cloud Applications, Cloud Engineering, Machine Learning Algorithms, Data Mining

      4.4

      (181 reviews)

      Beginner · Specialization · 3-6 Months

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      Rice University

      Introduction to Scripting in Python

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

      4.7

      (4.1k reviews)

      Beginner · Specialization · 3-6 Months

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

    • Data Analysis in Python: Using Pandas DataFrames: Coursera Project Network
    • Python for Cybersecurity: Infosec
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Create Your First Chatbot with Rasa and Python: Coursera Project Network
    • Python 101: Develop Your First Python Program: Coursera Project Network
    • Ciencia de Datos de IBM: IBM Skills Network
    • IBM Applied AI: IBM Skills Network
    • 用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1)): National Taiwan University
    • Google IT Support: Google
    • Problem Solving, Python Programming, and Video Games: University of Alberta

    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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