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 faz parte do Programa de cursos integrados Advanced Business Analytics
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Programa de cursos integrados Advanced Business AnalyticsUniversidade do Colorado em BoulderInformações sobre o curso
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Prazos flexíveis
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Certificados compartilháveis
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100% on-line
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Curso 1 de 5 no
Aprox. 12 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Coreano, Alemão, Russo, Inglês, Espanhol
Habilidades que você terá
Data ModelData QualityData AnalysisSQL
Resultados de carreira do aprendiz
32%
comecei uma nova carreira após concluir estes cursos
18%
consegui um benefício significativo de carreira com este curso
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 1 de 5 no
Aprox. 12 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Coreano, Alemão, Russo, Inglês, Espanhol
oferecido por
Universidade do Colorado em 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 - O que você aprenderá com este curso
2 horas para concluir
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 concluir
9 vídeos (Total 58 mín.), 3 leituras, 1 teste
3 horas para concluir
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.
3 horas para concluir
7 vídeos (Total 72 mín.), 3 leituras, 1 teste
2 horas para concluir
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 concluir
7 vídeos (Total 56 mín.), 3 leituras, 1 teste
5 horas para concluir
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 concluir
6 vídeos (Total 63 mín.), 2 leituras, 2 testes
Avaliações
Principais avaliações do 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 SH19 de Mai de 2021
I liked it so much as it reminded me by a lot of subjects I forgotten during my working years away of my uni degree so i need to back to this one and dig deep in each subject of it again. many thanks.
por KK18 de Mai 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 Jan 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.
Sobre Programa de cursos integrados 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.
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