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.
Informações sobre o curso
Habilidades que você terá
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.
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- 4 stars21,31%
- 3 stars3,15%
- 2 stars0,57%
- 1 star0,95%
Principais avaliações do INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
Good layout, clear, good to access materials and videos. One peer reviews, I found one peer that clearly and blatantly copied the class material. There were no grading options to report this.
It's a very helpful course for me . And i am vey thankful to University of colorado boulder for giving me this opportunity to acquire this knowledge it is very best course .
Great experience in getting started with Data Analytics. A very detailed course which walks you through analytical tool SQL and how you can extract data for the purpose of analysis.
It's a good course to get the feeling about Data and Analytics. For me it was quite redundant information but a good way to get familiar with the way Coursera and specific this course is working.
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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