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.
About this Course
Skills you will gain
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 stars73.84%
- 4 stars21.44%
- 3 stars3.13%
- 2 stars0.63%
- 1 star0.93%
TOP REVIEWS FROM INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
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.
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.
My first course using Cursera, and with University Colorado Bolder. Great experience and methodology and i trully learned some important concepts regarding Data Analytics for Business.
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.
About the Advanced Business Analytics Specialization
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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