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CERTIFICATE IN BUSINESS ANALYTICS AND INTELLIGENCE

The transformative power of data and analytics has never been more important than it is today. Companies increasingly need to deliver insights on customer experience and business trends in order to remain competitive in the market. The Business Analytics online short course from Mulungushi University aims to equip you with advanced data analysis techniques to support business decision-making and critical thinking in times of ambiguity and uncertainty.

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CERTIFICATE IN BUSINESS ANALYTICS AND INTELLIGENCE

Course Details

Background

The transformative power of data and analytics has never been more important than it is today. Companies increasingly need to deliver insights on customer experience and business trends in order to remain competitive in the market.The Business Analytics online short course from Mulungushi University aims to equip you with advanced data analysis techniques to support business decision-making and critical thinking in times of ambiguity and uncertainty.

Rationale

This course focuses on practical business application by showing you how to harness data visualisation and storytelling to interpret number sets, identify patterns, and uncover business trends critical to driving growth in your organisation. By practically engaging with various analytical tools (such as Excel and Tableau, as well as Python on an introductory level), this course will empower you to tap into the power of business intelligence to transform your data and deliver actionable insights.
As this is an advanced course, it’s ideal for practicing analysts who want to update their knowledge, grow their careers, and improve their ability to impact business decisions with data insights. It’s also designed for those who aspire to become data scientists, and for managers and senior decision makers who want to learn how to leverage data to make informed choices and add more value to their organisation. While there are no prerequisites for this course, it’s recommended that students have a basic understanding of statistics and analytics before registering
1

Code

BAI111
2

Fees

K4,000 Per Person Groups of more than 5 persons K3,500 per person
3

Location

Online
4

Contact

Coordinator: Mr.  Kelly. Chungu 
Phone: 0970349607
Email:kchungu@mu.ac.zm
5

Dates

11th of May to 25th of May2022
1730hrs to 1930hrs

Aim

The transformative power of data and analytics has never been more important than it is today. Companies increasingly need to deliver insights on customer experience and business trends in order to remain competitive in the market.The Business Analytics online short course from Mulungushi University aims to equip you with advanced data analysis techniques to support business decision-making and critical thinking in times of ambiguity and uncertainty.

Objectives

At the end of the program Learners should be able to:

  1. The ability to use business intelligence tools like Excel, Power BI, Tableau to effectively communicate and present actionable insights across your organisation.
  2. Data analysis and business analytics skills that you can apply to drive decision-making.
  3. The expertise to create real business value through data visualisation and storytelling.
  4. An understanding of the basics of performing data analysis using Python.

Competencies

List od competencies

Entry requirements

You will need a working computer that is able to support Microsoft Excel 2010 version or any later version and Python software.

Expected prior knowledge

Must have competency in any Business Major, (Management, Economics, Marketing, Entrepreneurship, Banking, Finance, Accounting), Statistics and Microsoft Excel.

COURSE DELIVERY.

Online-Zoom

QUALIFICATION

Upon successful completion, the candidates will be awarded a certificate in Business Analytics and Intelligence and a grade appended to the certificate. This qualification will only apply to a student who passes the project and completes the assignment or quizzes.

Course Content

Short description of course content

Lesson Schedule

Day

Discussion Topics

Facilitator

Day 1

Introduction to Business analytics and data visualization

Business intelligence and data storytelling

Mrs. M.Mwondela

Day 2

Cluster analysis

Market Basket Analysis

Mrs. M.Mwondela

Day 3

Factor analysis

Multiple regression

Mr. D. Muchochoma

Day 4

Logistic regression

Spreadsheet Models

Mr. D. Muchochoma

Day 5

Classification trees

Decision Analysis

Mrs. M.Mwondela

Day 6

Linear Optimization

Mr. D. Muchochoma

Day 7

Monte Carlo Simulation

Mr. D. Muchochoma

Day 8

Business analysis and the future of data analytics

Mrs. M.Mwondela

Teaching Methods

Teaching methods to be used in course

Timing and schedules

Time: 1730hrs to 1930hrs Online

Assessment Method

1.Assignment 30%
2.Quizzes 10%
3.Business Analysis project 60%

Certifications

Mulungushi University certificate will be provided

Connect with us

26 km from Kabwe Town along Great North Rd, Kabwe, Central Province, Zambia

  • dummy+(260) 215 228 004

  • dummy academic@mu.ac.zm

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