Data Analytics II

الوصف

udents 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

البرنامج

اقتصاديات الأعمال الرقمية والمستدامة

الأهداف

• e 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..