Este curso forma parte de Programa Especializado - Practical Data Science with MATLAB

Erin Byrne +7 instructores más

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Programa Especializado - Practical Data Science with MATLABMathWorks

Acerca de este Curso

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In this course, you will learn to think like a data scientist and ask questions of your data.  You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use  MATLAB to automatically generate code so you can learn syntax as you explore.  You will also use interactive documents, called live scripts,  to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.
These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). 

By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data.  You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.

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Curso 1 de 4 en

Programa Especializado - Practical Data Science with MATLAB

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 19 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish)

Habilidades que obtendrás

Data AnalysisData Visualization (DataViz)Matlab

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 1 de 4 en

Programa Especializado - Practical Data Science with MATLAB

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 19 horas para completar

Inglés (English)

Instructores

Calificación del instructor

4.81/5 (155 calificaciones)

ofrecido por

MathWorks

Accelerating the pace of discovery, innovation, development, and learning in engineering and science.

Programa - Qué aprenderás en este curso

Calificación del contenido97%(2,909 calificaciones)

Semana

Semana 1

3 horas para completar

Introduction to the Data Science Workflow

In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.

3 horas para completar

11 videos (Total 39 minutos), 4 lecturas, 2 cuestionarios

11 videos

Practical Data Science with MATLAB3m

Overview of Exploratory Data Analysis with MATLAB2m

Instructor Introduction2m

Why Do We Need Data Science?4m

MATLAB as a Data Science Tool5m

How to ask Good Questions of Your Data2m

Interactive Data Exploration3m

Getting Started with MATLAB4m

Overview of the Data Science Workflow3m

The Workflow in Practice4m

Summary of Module 1: The Data Science Workflow1m

4 lecturas

Use a Live Script: Explore 2013 Tornado Events30m

Download and Install MATLAB15m

Data and Code Files10m

Introduction to Storm Events Data15m

2 ejercicios de práctica

Tell us why you're here2m

Quiz 1: Introduction to Data Science30m

Semana

Semana 2

3 horas para completar

Importing Data

In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.

3 horas para completar

8 videos (Total 20 minutos), 1 lectura, 2 cuestionarios

8 videos

Introduction to Module 2: Importing Data59s

How Data is stored2m

How MATLAB Represents Data3m

How to Use the Import Tool3m

MATLAB Data Types4m

Why Automate the Import Process?1m

Generating and Reusing Code2m

Summary of Module 2: Importing Data1m

1 lectura

Overview of MATLAB Data Types1h 30m

2 ejercicios de práctica

Practice Quiz30m

Quiz 2: Importing Data45m

Semana

Semana 3

2 horas para completar

Visualizing and Filtering Data

In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.

2 horas para completar

5 videos (Total 15 minutos)

5 videos

Introduction to Module 3: Visualizing and Filtering Data1m

Plotting Data Contained in Tables4m

Selecting Data from Tables3m

Accessing and Creating Table Variables4m

Summary of Module 3: Visualizing and Filtering Data1m

3 ejercicios de práctica

Practice Selecting Data30m

Practice Questions5m

Quiz 3: Visualizing and Accessing Data in Tables45m

Semana

Semana 4

7 horas para completar

Performing Calculations

In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.

7 horas para completar

11 videos (Total 41 minutos), 4 lecturas, 11 cuestionarios

11 videos

Introduction to Module 4: Performing Calculations:1m

Basic Mathematical Operations3m

Using Vectors4m

Using Functions2m

Calculating Summary Statistics2m

Correlations Between Variables3m

Accessing Subsets of Data5m

Introduction to Categorical Data5m

Performing Calculations by Category3m

Visualizing Results5m

Summary of Module 4: Performing Calculations1m

4 lecturas

Performing Calculations30m

Performing Calculations with Vectors45m

Relational and Logical Operators30m

Calculations by Group45m

1 ejercicio de práctica

Quiz 4: Exploratory Data Analysis1h 10m

Acerca de Programa especializado: Practical Data Science with MATLAB

Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?

Completing this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups. This specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation). Throughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
Is financial aid available?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
Will I have access to MATLAB?
Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.

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Exploratory Data Analysis with MATLAB