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Introducción al lenguaje Julia

Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, aprenderás los conceptos básicos del lenguaje de programación Julia. Además, entenderás algunos de los tipos de datos más útiles al trabajar en distintos tipos de iniciativas con Julia.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces programming concepts using Julia, fostering foundational knowledge for beginners
Covers relevant data types, providing students with a solid understanding for use in practical applications

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Coming soon We're preparing activities for Introducción al lenguaje Julia. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Introducción al lenguaje Julia will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use programming languages like Julia to develop and implement machine learning models. These models can be used to make predictions, identify trends, and solve complex problems. This course can help you build a foundation in Julia, which will be helpful for a career as a Data Scientist. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Statistician
Statisticians use programming languages like Julia to analyze data and make inferences. This course can help you build a foundation in Julia, which will be helpful for a career as a Statistician. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Data Engineer
Data Engineers use programming languages like Julia to build and maintain data pipelines. These pipelines are used to collect, clean, and store data. This course can help you build a foundation in Julia, which will be helpful for a career as a Data Engineer. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Quantitative Analyst
Quantitative Analysts use programming languages like Julia to develop and implement mathematical models. These models can be used to make predictions, assess risk, and make investment decisions. This course can help you build a foundation in Julia, which will be helpful for a career as a Quantitative Analyst. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Actuary
Actuaries use programming languages like Julia to develop and implement mathematical models to assess risk. This course can help you build a foundation in Julia, which will be helpful for a career as an Actuary. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Machine Learning Engineer
Machine Learning Engineers use programming languages like Julia to develop and implement machine learning models. These models can be used to make predictions, identify trends, and solve complex problems. This course can help you build a foundation in Julia, which will be helpful for a career as a Machine Learning Engineer. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Data Analyst
Data Analysts use programming languages like Julia to clean and analyze data. They use this analysis to create reports, dashboards, and other visualizations that help businesses make better decisions. This course can help you build a foundation in Julia, which will be helpful for a career as a Data Analyst. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Operations Research Analyst
Operations Research Analysts use programming languages like Julia to develop and implement mathematical models to improve the efficiency of business processes. This course can help you build a foundation in Julia, which will be helpful for a career as an Operations Research Analyst. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Software Developer
Software Developers use programming languages like Julia to develop and maintain software applications. This course can help you build a foundation in Julia, which will be helpful for a career as a Software Developer. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Business Analyst
Business Analysts use programming languages like Julia to analyze data and make recommendations to improve business processes. This course can help you build a foundation in Julia, which will be helpful for a career as a Business Analyst. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Software Engineer
Software Engineers use programming languages like Julia to develop and maintain software applications. This course can help you build a foundation in Julia, which will be helpful for a career as a Software Engineer. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Database Administrator
Database Administrators use programming languages like Julia to manage and maintain databases. This course can help you build a foundation in Julia, which will be helpful for a career as a Database Administrator. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Financial Analyst
Financial Analysts use programming languages like Julia to analyze financial data and make investment recommendations. This course can help you build a foundation in Julia, which will be helpful for a career as a Financial Analyst. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Systems Administrator
Systems Administrators use programming languages like Julia to manage and maintain computer systems. This course can help you build a foundation in Julia, which will be helpful for a career as a Systems Administrator. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.
Web Developer
Web Developers use programming languages like Julia to develop and maintain websites. This course can help you build a foundation in Julia, which will be helpful for a career as a Web Developer. Additionally, the course will introduce you to some of the most useful data types in Julia, which will be helpful for working with different types of data.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introducción al lenguaje Julia.
The official documentation for the Julia language, providing comprehensive coverage of its features, syntax, and usage. It serves as an invaluable reference for understanding Julia's core concepts and best practices
Provides a comprehensive introduction to Julia for finance. It covers all the essential topics, such as financial data analysis, financial modeling, and risk management. It great resource for anyone who wants to use Julia for finance.
A comprehensive guide to scientific programming with Julia, covering numerical methods, linear algebra, differential equations, and more. Suitable for students and researchers in scientific computing.
Provides a comprehensive overview of Julia for data analysis in Spanish. Covers data manipulation, visualization, statistical modeling, and more.
Provides a gentle introduction to Julia programming. It valuable resource for anyone who is new to Julia.
Provides an algorithmic perspective on Julia for data science. It covers essential algorithms for data manipulation, wrangling, and analysis, with a focus on efficiency and performance optimization

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