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.
- 5 stars73,92%
- 4 stars21,37%
- 3 stars3,15%
- 2 stars0,60%
- 1 star0,94%
Principais avaliações do INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
I recommend this course for those who wants to learn about data analytics in business. The instructor delivers the material in an easy-to-understand way & the sample cases are on point as well.
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.
Very Informative and helpful in the domain of Data Analytics.The course structure is well planned and the overall course helped me a lot in gaining knowledge in the area of analytics.
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.
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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