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¿Qué es la ciencia de datos?

El arte de descubrir los conocimientos y las tendencias de los datos ha existido desde la antigüedad. Los antiguos egipcios usaron datos del censo para aumentar la eficiencia en la recaudación de impuestos y predijeron con precisión la inundación del río Nilo cada año. Desde entonces, las personas que trabajan en ciencia de datos han creado un campo único y distinto para el trabajo que realizan. Este campo es ciencia de datos. En este curso, conoceremos a algunos profesionales de la ciencia de datos y obtendremos una visión general de lo que es hoy la ciencia de datos.

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Introduces core data science concepts, principles, and terminology

Taught by experienced data science professionals

Provides an overview of the history and evolution of data science

Suitable for learners with little to no prior data science knowledge

May be beneficial for individuals interested in exploring a career in data science

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Reviews summary

Ciencia de datos: una introducción

Este completo curso ofrece una introducción integral a la Ciencia de Datos, brindando a los estudiantes una sólida comprensión de los conceptos fundamentales, las aplicaciones y las habilidades requeridas. El curso presenta entrevistas con expertos de la industria, lo que proporciona perspectivas valiosas sobre el campo. Además, los estudiantes se benefician del acceso a herramientas prácticas en IBM Cloud, lo que les permite aplicar sus conocimientos.

Expertos de la industria comparten perspectivas valiosas.

"Completo y además las personas que hablan en los videos, manejan bastante las definiciones y dan bueno ejemplos sobre la ciencia de datos."

Excelente curso introductorio a la Ciencia de Datos.

"Excelente curso que sirve como base para conocer de que trata la ciencia de datos y cual es enfoque que debe tener un científico de datos."

Acceso a herramientas prácticas en IBM Cloud.

"Este curso es realmente amplio, la calidad de los videos y material de lectura te permite tener un 100% de comprensión, y las herramientas para ejercitar en IBM Cloud es increíble! mil gracias"

Algunas herramientas y materiales desactualizados.

"Necesita actualización"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in ¿Qué es la ciencia de datos? with these activities:

Review basic statistics

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Ensure you have a solid foundation in statistics, which is essential for data science

Browse courses on Statistics

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Review the concepts of mean, median, and mode
Practice calculating standard deviation and variance
Understand the difference between correlation and causation

Read 'Data Science for Business'

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Introduce yourself to data science concepts at a beginner level

View Data Science for Business: What You Need to... on Amazon

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Read the first five chapters
Take notes on the key concepts
Complete the exercises at the end of each chapter

Attend a data science meetup

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Connect with other data science professionals and learn about industry trends

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Find a meetup in your area
Attend the meetup and introduce yourself
Follow up with people you meet

Four other activities

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Practice SQL queries

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Get hands-on experience with SQL, a common tool in data science

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Create a database
Populate it with data
Write queries to retrieve and manipulate data

Create a data visualization dashboard

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Develop your data storytelling skills by creating a visual representation of data

Browse courses on Data Visualization

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Choose a dataset
Select the appropriate charts and graphs
Create the dashboard and share it with others

Develop a machine learning model

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Gain practical experience with machine learning techniques

Browse courses on Machine Learning

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Choose a dataset
Preprocess the data
Select and train a machine learning algorithm
Evaluate the model

Participate in a data science competition

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Test your skills and learn from others in a competitive environment

Browse courses on Kaggle

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Find a competition that aligns with your interests
Form a team or work individually
Submit your solution

Career center

Learners who complete ¿Qué es la ciencia de datos? will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is a specialist who uses data analysis and scientific methods to extract knowledge and insights from data. This course, ¿Qué es la ciencia de datos?, provides a comprehensive overview of the field of data science, including its history, key concepts, and applications. By taking this course, you will gain a strong foundation in the principles and practices of data science, which will prepare you for a successful career in this field.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by data analysts. By taking this course, you will gain a solid understanding of the principles and practices of data analysis, which will prepare you for a successful career in this field.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models. This course, ¿Qué es la ciencia de datos?, provides an overview of the field of data science, including the key concepts and methods used by machine learning engineers. By taking this course, you will gain a solid understanding of the principles and practices of machine learning, which will prepare you for a successful career in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer is responsible for designing, building, and maintaining data pipelines. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by data engineers. By taking this course, you will gain a solid understanding of the principles and practices of data engineering, which will prepare you for a successful career in this field.

See salaries and explore the career path for Data Engineer

Business Analyst

A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by business analysts. By taking this course, you will gain a solid understanding of the principles and practices of business analysis, which will prepare you for a successful career in this field.

See salaries and explore the career path for Business Analyst

Statistician

A Statistician is responsible for collecting, analyzing, and interpreting data. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by statisticians. By taking this course, you will gain a solid understanding of the principles and practices of statistics, which will prepare you for a successful career in this field.

See salaries and explore the career path for Statistician

Operations Research Analyst

An Operations Research Analyst is responsible for using mathematical and statistical methods to solve business problems. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by operations research analysts. By taking this course, you will gain a solid understanding of the principles and practices of operations research, which will prepare you for a successful career in this field.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

A Financial Analyst is responsible for analyzing financial data and making investment recommendations. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by financial analysts. By taking this course, you will gain a solid understanding of the principles and practices of financial analysis, which will prepare you for a successful career in this field.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

A Market Research Analyst is responsible for collecting and analyzing data about markets and consumer behavior. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by market research analysts. By taking this course, you will gain a solid understanding of the principles and practices of market research, which will prepare you for a successful career in this field.

See salaries and explore the career path for Market Research Analyst

Actuary

An Actuary is responsible for assessing and managing financial risks. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by actuaries. By taking this course, you will gain a solid understanding of the principles and practices of actuarial science, which will prepare you for a successful career in this field.

See salaries and explore the career path for Actuary

Biostatistician

A Biostatistician is responsible for designing and analyzing statistical studies in the field of medicine. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by biostatisticians. By taking this course, you will gain a solid understanding of the principles and practices of biostatistics, which will prepare you for a successful career in this field.

See salaries and explore the career path for Biostatistician

Data Architect

A Data Architect is responsible for designing and managing the architecture of data systems. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by data architects. By taking this course, you will gain a solid understanding of the principles and practices of data architecture, which will prepare you for a successful career in this field.

See salaries and explore the career path for Data Architect

Database Administrator

A Database Administrator is responsible for managing and maintaining databases. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by database administrators. By taking this course, you will gain a solid understanding of the principles and practices of database administration, which will prepare you for a successful career in this field.

See salaries and explore the career path for Database Administrator

Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. This course, ¿Qué es la ciencia de datos?, provides an introduction to the field of data science, including the key concepts and methods used by software engineers. By taking this course, you will gain a solid understanding of the principles and practices of software engineering, which will prepare you for a successful career in this field.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 13 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 ¿Qué es la ciencia de datos?.

Data Analysis for the Life Sciences with R

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Textbook that provides a comprehensive overview of data science. It covers topics such as data mining, machine learning, and statistical modeling. It valuable resource for anyone who wants to learn more about the theoretical foundations of data science.

¿Qué es la ciencia de datos?

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Reviews summary

Ciencia de datos: una introducción

Activities

Career center

Reading list

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