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.
Este curso forma parte de Programa Especializado - Practical Data Science with MATLAB
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Acerca de este Curso
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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
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
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Programa - Qué aprenderás en este curso
2 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.
2 horas para completar
11 videos (Total 39 minutos), 4 lecturas, 2 cuestionarios
11 videos
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
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
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
1 hora 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.
1 hora para completar
5 videos (Total 15 minutos)
5 videos
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 Data6m
Practice Questions5m
Quiz 3: Visualizing and Accessing Data in Tables45m
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
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
Revisiones
Principales revisiones sobre EXPLORATORY DATA ANALYSIS WITH MATLAB
por PM29 de abr. de 2020
It was a great feeling of satisfaction after completing the final project. Exploratory and basics of Data Science with a blend of MATLAB were presented in a very interactive manner.
por CB23 de abr. de 2020
Clear and to the point. Polished presentation that packs alot of info into each lesson. I learned a lot and am looking forward to continuing the series.
por SM6 de may. de 2020
excellent course material and interfaces. assignments and cool and real learning happen. the software is provided with access until the end of course.
por FV9 de dic. de 2019
A great course. I'm very satisfied. The course allow me use Matlab in ways that will be very helpful to my work. I'm waiting for course 2
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?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
¿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.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Hay ayuda económica disponible?
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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