Data Analytics II

  • College of Management & Technology |
  • English

Description

Students will learn the following 1-Background of business analytics. 2-Introduction to data analytics and data handling 3-Programming methods to locate warehouse and wrangle data. 4-Data-driven means to build solutions for business queries. 5-Ethical principles of the collection, storage and use of data. 6-Descriptive statistics and data exploration 7-Applications of linear regressions 8-Applications of linear regressions 9-Applications of logit and probity models 10- Time-series analysis 11- Forecasting 12- Text analytics 13- Big data

Program

Digital and Sustainable Business Economics

Objectives

  • The approach in this course is to first establish the basic knowledge of analytical tools (e.g., SAS software) and then to build upon these to analyze real-world issues.

Textbook

TextBooks: Camm, J. D., Cochran, J. J., Fry, M. J. and Ohlman, J. W., Business Analytics, (2020). (4th ed.). Boston, Cengage Learning

Course Content

content serial Description

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: BDE1105
  • Credit hrs: 4
  • Prequisites: None
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