This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
Este curso forma parte de Programa Especializado - Advanced Business Analytics
ofrecido por
Programa Especializado - Advanced Business AnalyticsUniversidad de Colorado en BoulderAcerca de este Curso
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Resultados profesionales del estudiante
50%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 11 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
Habilidades que obtendrás
Data ModelData QualityData AnalysisSQL
Resultados profesionales del estudiante
50%
comenzó una nueva carrera después de completar estos cursos
26%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 1 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 11 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
ofrecido por
Universidad de Colorado en Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Programa - Qué aprenderás en este curso
2 horas para completar
Data and Analysis in the Real World
Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy
2 horas para completar
9 videos (Total 58 minutos), 3 lecturas, 1 cuestionario
9 videos
Introduction to the Specialization1m
0. Introduction to Data & Analysis in Real World1m
1. Thinking about Analytical Problems6m
2. Conceptual Business Models6m
3. The information-Action Value Chain (Part 1)9m
4. The information-Action Value Chain (Part 2)11m
5. Real World Events and Characteristics8m
6. Data Capture by Source Systems10m
3 lecturas
Week 1 Lecture Slides10m
Week 1 Quiz Answer Key10m
You can now start part 1 of the final assignment!1m
1 ejercicio de práctica
Week 1 Quiz24m
2 horas para completar
Analytical Tools
In this module we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.
2 horas para completar
7 videos (Total 72 minutos), 3 lecturas, 1 cuestionario
7 videos
1. Data Storage and Databases12m
2. Big Data & the Cloud14m
3. Virtualization, Federation, and In-Memory Computing8m
4. The Relational Database14m
5. Data Tools Landscape11m
6. The Tools of the Data Analyst9m
3 lecturas
Week 2 Lecture Slides10m
Week 2 Quiz Answer Key10m
You can now start part 2 of the final assignment!10m
1 ejercicio de práctica
Week 2 Quiz34m
2 horas para completar
Data Extraction Using SQL
In this module we’ll learn how to extract data from a relational database using Structured Query Language, or SQL. We’ll cover all the basic SQL commands and learn how to combine and stack data from different tables. We’ll also learn how to expand the power of our queries using operators and handle additional complexity using subqueries.
2 horas para completar
7 videos (Total 56 minutos), 3 lecturas, 1 cuestionario
7 videos
1. Introduction to SQL9m
2. Aggregating and Sorting Data in SQL11m
3. Extracting Data from Multiple Tables10m
4. Stacking Data with UNION Command5m
5. Extending SQL Queries Using Operators10m
6. Using SQL Subqueries6m
3 lecturas
Week 3 Lecture Slides10m
Week 3 SQL Assignment Answer Key10m
You can now start part 3 of the final assignment!10m
1 ejercicio de práctica
SQL Coding Assignment20m
5 horas para completar
Real World Analytical Organizations
In this module we focus on the people and organizations that work with data and actually execute analytics. We’ll discuss who does what and see how organizational structures can influence efficiency and effectiveness. We’ll also look at the supporting rules & processes that help an analytical organization run smoothly, like Data Governance, Data Privacy, and Data Quality.
5 horas para completar
6 videos (Total 63 minutos), 2 lecturas, 2 cuestionarios
6 videos
1. Analytical Organizations – Roles11m
2. Analytical Organizations – Structures11m
3. Data Governance8m
4. Data Privacy17m
5. Data Quality11m
2 lecturas
Week 4 Lecture Slides10m
Week 4 Quiz Answer Key10m
1 ejercicio de práctica
Week 4 Quiz34m
Revisiones
Principales revisiones sobre INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
por B1 de jun. de 2020
I really enjoyed the course. The subject was very well explained.and even the assignments were interesting.One can really take this course if you like playing around with data and having fun analysis.
por KK18 de may. de 2020
The content of the course is really good, so is the teacher. The final exam and that it's rated by peers is not optimal tho. Feedback from an expert would be nice there, even if it takes a bit longer
por JH29 de ene. de 2020
Very good introduction course. Clear and understandable explanations for beginners, good structure and helpful examples. Also the provided slides are beneficial for later reference and repetition.
por DG29 de jun. de 2020
this was literally like an in person course, concepts very well explained and I experienced a significant increase in understanding of practical application of data analytics to businesses.
Acerca de Programa especializado: Advanced Business Analytics
The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.
The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.
Check out a one-minute video about this specialization to learn more!
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.
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