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.
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Compétences que vous acquerrez
Université du Colorado à 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 stars73,83 %
- 4 stars21,45 %
- 3 stars3,14 %
- 2 stars0,63 %
- 1 star0,93 %
Meilleurs avis pour INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
Great class with a truly holistic view of data analysis and the business applications involved in data, A necessary class for professionals with a desire to work in analytics or with data.
This course was an eye opener on how data and business work. It taught me new values for data and planning, as well as respect and appreciation for the whole working groups in a company.
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.
I love this course. the lecture teach me to have a framework of thinking to become an analyst. Although some course need more references from internet, overall the course is great
À propos du Spécialisation 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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