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Business Intelligence and Analytics

Faculty of Business and EconomicsBusiness And Economics (hec)
Credits2.25
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Semester offeredSemester 2 (Winter)
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Last updated2 months ago

Description

This course has two main objectives: to provide an easy introduction to machine learning, and to improve your coding skills in Python. Enterprises collect large amounts of data about their clients: historical purchases, responses to marketing events, web search logs, etc. In today's data-driven economy, data can assist enterprises to better understand their customers, and to take more informed decisions about the business. The objective of the course is to introduce concepts in Business Intelligence and Data Analytics. During the course we will review several methods to extract and manipulate data, visualize data and make predictive decisions from data. We will also highlight potential pitfalls. Students will get hands-on experience using Python code. Group A: English Group B: French Students completing the course will understand concepts in: Data Cleaning Exploratory Data Analysis Data visualization Concepts from data mining and machine learning Regression Clustering Association rules Classification Assessment Information: Final exam: Yes

Course outline
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Preview the 5 closest equivalencies already indexed in our system

HEC-97840 has possible credit equivalents including BAI3303 at Al Akhawayn University in Ifrane.

CourseUniversityQwest Score
BAI3303
Applications of Business Analytics
Al Akhawayn University in Ifrane73
540700
Computational Statistics
Dankook University73
INSY446
Data Mining for Business Analytics
McGill University72
558250
Data Analysis and Visualization
Dankook University72
557990
Big Data Mining
Dankook University72