Advanced Professional Certificate in Business Analytics

Date: On Demand

Duration: 19 Days

Course Objectives

This Advanced Professional Certificate will equip learners with the following competencies:

  • Learn what Business Analysis is & skillsets needed to be a Business Analyst.
  • Learn data structures and programming constructs in Python and have a strong foundation in Python programming.
  • Learn and apply the Python programming language for creating Machine Learning applications.
  • Understand big data and how big data analytics can help organizations achieve a competitive advantage.
  • Learn how to make strategic use of the data available in organizations.
  • Learn how to communicate data insights through effective data storytelling.

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively:

  • Business Analyst
  • Data Analyst
  • Data Engineer

Who Should Attend

Professionals who plan to be a Data Analyst/ Business Analyst that is capable of integrating Business, Customer and Technology to produce digital products that the market needs.

Prerequisites

At least a polytechnic diploma (or equivalent)

Course Conveners

(Click their photos to view their short biographies)

ccccc Danny Poo

Assoc Prof Danny PooAssoc Prof Danny Poo

ddddd Ai Xin

Dr Ai XinDr Ai Xin

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

eeeee Samantha Sow

Ms Samantha SowMs Samantha Sow

Training Roadmap

Stage 1: Professional Certificate in Digital Business Analysis

Curriculum:

Stage 2 (with Stage 1 as prerequisite): Professional Certificate in Machine Learning Using Python

Curriculum:

Stage 3 (with Stage 1 and 2 as prerequisites): Professional Certificate in Data Strategy and Storytelling

Curriculum:

Stage 4 (with Stage 1 to 3 as prerequisites): Advanced Professional Certificate in Business Analytics

Completion of Stage 1 to 3 curriculum earns the participant an Advanced Professional Certificate in this programme

Participants must fulfill at least 75% attendance and pass all assessment components, to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register