MANAGERIAL BUSINESS ANALYTICS

About this Course

  • 30 students enrolled
  • 2 instructors

Course Description

Business Analytics introduces the fundamental concepts, methods and tools needed by business leaders to transform business information and business data into useful insight to solve challenges in the ever changing and challenging global business environment. This course will introduce some widely used techniques and software such as Excel, XL Miner, Structured Query Language (SQL) and R to produce descriptive, prescriptive and predictive business analytic models. This course would end with introduction to the methods in presenting business analytics results.

Course Learning Outcomes

1 ) Apply appropriate data analytics tools and models to solve business decision-making problems
2 ) Explore how data is created, stored, accessed and processed in industrial 4.0 business world
3 ) Communicate data analytics results to stakeholders to justify and to support business decisions

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 8 hours per week
MODE : 100% Online
COURSE LEVEL : Beginner
LANGUAGE : English
CLUSTER : Business & Management ( SP )

Join this course

 Syllabus

1.1) Evolution and Scope of Business Analytics
1.2) Data Storage and Data Base
1.3) Big Data and the Cloud
1.4) Analytics on Spreadsheet – Excel and Excel Solver

2.1) The scope of Data Mining
2.2) Data Exploration and Reduction
2.3) Classification Techniques
2.4) Cluster Analysis using Excel and XL Miner

3.1) Data Visualization and Exploration
3.2) Descriptive Statistical Measures
3.3) Sampling and Estimation
3.4) Statistical Inference

4.1) Linear Regression
4.2) Multiple Regression
4.3) Logistic Regression
4.4) Trees and Neural Networks
4.5) Forecasting Techniques

5.1) Making Decision Under Uncertainty
5.2) Making Decision Under Risk
5.3) Decision Trees and Sensitivity Analysis
5.4) Utility Theory
5.5) Monte Carlo Simulation

6.1) Linear Programming in Business Decisions
6.2) Multiple Objectives Optimization
6.3) Binary Optimization Problem
6.4) Integer Optimization Problem

Our Instructor

PROFESOR DR TAN PECK LEONG

 Course Instructor
UiTM Shah Alam

PROFESOR MADYA DR MOHD ZAKI BIN AWANG CHEK

 Course Instructor
UiTM Kampus Tapah

 Frequently Asked Questions

A1 : Business analytics is a field that drives practical, data-driven changes in a business. It is a practical application of statistical analysis that focuses on providing actionable recommendations. Analysts in this field focus on how to apply the insights they derive from data.

A2 : A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.

Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning.

source : https://en.wikipedia.org/wiki/Decision_tree