Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
Este curso forma parte de Programa Especializado - Data Analysis and Interpretation
Data Management and Visualization
ofrecido por
Acerca de este Curso
Resultados profesionales del estudiante
44%
36%
Habilidades que obtendrás
Resultados profesionales del estudiante
44%
36%
100 % en línea
Curso 1 de 5 en
Fechas límite flexibles
Aprox. 17 horas para completar
Inglés (English)
ofrecido por
Universidad Wesleyana
At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.
Programa - Qué aprenderás en este curso
Selecting a research question
We would like to welcome you to Wesleyan University's Data Analysis and Interpretation Specialization. In this session, we will discuss the basics of data analysis. Your task will be to select a data set that you would like to work with and to review available code books that help you develop your own research question. You will also set up a Tumblr blog that will allow you to reflect on these experiences, submit assignments and share your work with others throughout the course. First, you may want to check out the welcome video
Writing your first program - SAS or Python
In this session, we will discuss how to write a basic program that allows you to load a data set and examine frequency distributions. Your task will be to write a program that helps you to explore the variables you have selected for your own research question. You may choose either Python or SAS. Both are made freely available, and we have created a helpful guide to support you in making the decision. Once you have selected your platform, just follow the instructions in the appropriate "GETTING STARTED...." file, and then check out this week's video lessons aimed at helping you write and run your first program. You need only view the lessons for one of the statistical platforms (SAS or Python).
Managing Data
In this session, we will help you to make and implement even more decisions with data. Statisticians often call this task 'data management', while computer scientists like the term 'data munging'. Whatever you call it, it is a vital and ongoing process when working with data. Your task will be to write a program that manages the variables you have selected for your own research question.
Visualizing Data
In this session we will discuss descriptive statistics and get you visualizing your newly data managed variables individually and as graphs showing the relationships between them.
Supplemental Materials (All Weeks)
Revisiones
Principales revisiones sobre DATA MANAGEMENT AND VISUALIZATION
This course covers the basic data management and visualization using SAS and Python. I like the simplicity and straightforwardness of the contents. Will continue to explore this specialization.
This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.
Great introduction to quantitative data analysis and a great refresher for those of us who have been out of it for a while. Presented well, the videos were great, and I enjoyed it very much.
Really smooth conduct of people in videos and excellent way of explaining things. Very excited to keep going to see what this specialization has to offer further. Thank you.
Choosing an actual research question allows you to find a topic of interest. This makes the content more meaningful and accelerates understanding of the concepts.
A fantastic course for beginners, and an extremely useful tool to learn! Recommended for anyone who wants to get started coding or increase their work skills
This course was a great one, i had no know of python when i started, during the course i was a able to run my first python program. I really learnt a lot.
This was a great course for beginners in Python. I found all the videos to be detailed and helpful in understanding the code and programming in Python
I think the course is wonderful for beginners. For somebody trying to learn this on her own, I found this course extremely helpful and easy to grasp.
Excellent introduction to SAS no matter what your field of research. Videos are clear and easy to follow. Looking forward to doing the next course.
It was a great course for me! It gives a very important basic of statistic & visualization.\n\nI really appreciated the way it was presented.
Very well organised and I really admire the project based approach that is and will be followed throughout the specialization.\n\nThank you
Acerca de Programa especializado Data Analysis and Interpretation
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿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.
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¿Hay ayuda económica disponible?
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