Data Analytics in Business

所在平台: EdxArchive

课程类别: 其他类别

大学或机构: GTx

授课老师: Beverly Wright

课程主页: https://www.edx.org/archive/data-analytics-business-gtx-mgt6203x

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课程简介

Learn to apply your analytics skills in business by working through a real-world analytics project using Python and software like SAS.

课程大纲

  • How to develop and execute analytics projects within business organizations
  • How to use analytics software to generate predictions and business insights
  • How to “speak analytics” with executives, managers, and data scientists

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课程详情

Please note that the verified certificate option is not currently open for this course. Please enroll in the audit track and you will be emailed when the verified certificate option is open for enrollment.

Businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.

This course, part of the Analytics: Essential Tools and Methods MicroMasters program, prepares you to understand data and business analytics and become a leader in these areas in business organizations.

It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing you to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations. The use of real-world examples and cases places business analytics techniques in context and teaches you how to avoid the common pitfalls, emphasizing theimportance of applying proper business analytics techniques.

In addition to cases, this course features hands-on experiences with data collection, analysis, and visualization using Python programs and analytics software such as SAS.

This course includes a significant analytics project.

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