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UTSanAntonioX: Try It: Intro to Python

If you want to learn to code with Python, this free course will give you an overview of the ins and outs of Python basics. Try our no-risk course today and see why Python has become one of the world’s most popular and in-demand programming languages. No previous coding experience required.

Try It: Intro to Python
1 semanas
1–2 horas por semana
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Comienza el 15 nov

Sobre este curso

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Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.

From analyzing large datasets to building web applications, Python can be used for a variety of projects including:

- Writing scripts for automating tasks

-Web development

-Collecting data from websites (also known as “web scraping”)

-Scientific and numeric computing

-Data analysis

-Data visualization

-Machine learning

Python is also a useful skill applicable to roles across a wide range of industries, including:

-Energy

-Finance

-Healthcare

-Marketing

-IT

-Retail

This course is an introduction to our Boot Camps, which combine data analysis and machine learning to prepare learners for careers such as data analysts, financial analysts, data scientists, and more.

This Try It is offered in support of the Coding Boot Camp and Data Analytics Boot Camp with The University of Texas at San Antonio. If you enroll in this Try It, your learner data will not be shared with The University of Texas at San Antonio unless you enroll in the Coding Boot Camp or Data Analytics Boot Camp.

De un vistazo

  • Institution

    UTSanAntonioX

  • Subject Informática
  • Level Introductory
  • Prerequisites
    Ninguno
  • Language English
  • Video Transcript English

Lo que aprenderás

Omitir Lo que aprenderás

-What Python is and where it’s used.

-Functions, the bits of code that tell Python what to do.

-How to create and name variables.

-How to build conditional logic to automate dual-alternative decision-making.

-How to use Python for advanced decision making with nested if/else statements.

-How Python interacts with a console.

-How to code simple programs and use conditional statements to automate decision-making.

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