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.
Über diesen Kurs
Kompetenzen, die Sie erwerben
University of Colorado 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 stars73,80 %
- 4 stars21,50 %
- 3 stars3,13 %
- 2 stars0,63 %
- 1 star0,93 %
Top-Bewertungen von INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
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.
Great course to start your career in Business Analytics. Rich content and well organised. Thoroughly enjoyed doing this course. Highly recommended this course for Analytics enthusiasts.
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.
Overall I liked it. I would like to see more SQL practice and maybe a built-in tool to write SQL that shows where errors can be shown along with suggestions on how to fix the errors.
Über den Spezialisierung 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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