Business Strategic Intelligence Professional (BSIP)

Upcoming Batch
9:30am to 5:30pm
Singapore Timezone

5 Sessions / 40-Hours

12 to 16 Jul . 9 to 13 Aug
13 to 17 Sep . 11 to 15 Oct
8 to 12 Nov . 13 to 17 Dec

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Weekday (Every Friday)
2:00pm to 6:00pm
Singapore Timezone

10 Sessions / 40-Hours

9 Jul to 10 Sep . 24 Sep to 19 Nov
26 Nov to 28 Jan

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Every Sunday
9:30am to 5:30pm
Singapore Timezone

5 Sessions / 40-Hours

4 Jul to 1 Aug . 8 Aug to 5 Sep
12 Sep to 10 Oct . 17 Oct to 14 Nov
21 Nov to 19 Dec

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Course Information
  • Duration: 5-Day / 40 Hours

  • Certification: Participants will be awarded and recognised as a Business Strategic Intelligence Professional (BSIP) upon meeting the requirements and passing the examination.

  • Who Should Attend: CIO, CTO, CISO, Information Specialist, Data Analysis, Data Scientist, Information Analysis, Marketing, HR, and Anyone interested in acquiring the advanced knowledge and skills in Business Strategic Intelligence using Python Programming.

Course Objective

Business Strategic Intelligence Professional (BSIP) is designed develop your analytical, critical thinking and advanced problem-solving skills within workplace..

Learn the different components required to achieve business strategic intelligence using Python Programming.




Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Data Analytics and Business Intelligence using Python Programming based on the syllabus covered

Module 1 Introduction to Business Intelligence / Data Analytics

Topics Covered
  • Overview on Business Intelligence
  • Relationship between Business Intelligence and Data Analytics
  • Key Components of Data Analytics
  • Advantages of Data Analytics
  • Business Intelligence Strategies
Module 2 Business Intelligence Strategies and Application

Topics Covered
  • Understanding Data Analytics Maturity Model
  • Descriptive, Diagnostic, Predictive and Prescriptive Analytics
  • Text Analytics vs. Web Analytics
Module 3 Data Warehouse, ETL vs. ELT

Topics Covered
  • Introduction to Data / Information Architecture
  • What is a Data Warehouse?
  • ETL vs. ELT Architecture
  • Application of Data Analytics in Business Processes

Module 4 Deep Dive into Python Programming for Data Analytics

Topics Covered
  • Introduction to Python Programming
  • Setting up Python IDE and Programming Environment
  • Understanding Structure of Python Programming
  • Python Variables: Integer, Floats, Strings
  • Using of List vs. Dictionary
  • Operators and Loops: If-Else, For, While, Break, Continue
  • Types of Functions in Python
  • Introduction to Built-In Functions in Python
  • Introduction to Classes in Python
  • What is Object-Oriented Programming (OOP)

Module 5 Working with Key Modules / Packages for Data Analytics

Topics Covered
  • Understanding Modules in Python
  • Working with NumPy Module
  • Using Python Pandas Module
  • Data Pre-processing, Data Cleaning, and Data Engineering
  • Introduction to MatPlotLib in Python
  • Data Visualization using Python Programming
Module 6 Sales and Marketing Analytics

Topics Covered
  • Introduction to Sales and Marketing Analytics
  • Estimation of Customer Demand
  • Establishing Sales Metrics for Performance Review
  • Understanding Social Media Metrics
Module 7 Customer Behavioural Analytics

Topics Covered
  • Understanding Customer Behavioural Analytics
  • Techniques for Measuring User Experience / Customer Experience
  • Establishing a Customer Satisfaction Metrics
  • Designing and Administration of Survey
  • Uncovering Insights from Customer Survey Data
Module 8 Business Operation Analytics

Topics Covered
  • Introduction to Business Operation Analytics
  • Identifying the Probabilities of Unprecedented Events
  • Evaluating the Magnitude of an Impact
  • Using Critical Thinking Techniques to Solve Problems
  • Identifying the Root Cause of a Problem
Module 9 Human Resource Analytics

Topics Covered
  • Introduction to Human Resource Analytics
  • Using KPI / Metrics to Evaluate Performances
  • Analysing Staff Attrition Rate
  • Designing Staff Satisfaction Metrics
  • Appraisal of Current Workplace Dynamics
Module 10 Financial Analytics

Topics Covered
  • Introduction to Financial Analytics
  • Application of Financial Analytics for Businesses
  • Understanding the Different Forecasting Techniques
  • Use of Variances (Actual vs. Budget) for Critical Review

Business Strategic Intelligence Professional (BSIP) involves rigorous usage of real-time case studies, hands-on exercises and group discussion

What Past Participants Say
The course shows us what python is capable. The trainer has also demonstrate how Python can be used in many ways. This helps me in learning and understanding programming and developing my projects.

Tengku Zarul Aqtar

This course provided me with the foundation on python programming to speed up my learning and application. Extensive hands-on programming activities and assignments have also contributed to my learning.

Luis Fong


Customization of Programs for specific industry, organisation, government agencies, statutory boards.

Flexible programmes designed to cater to the individual needs of participants, whether for professional upskilling, or for general interest.

Benefit from contribution from leading Industry Experts, Academics, and Researchers from across the world.

Opportunities for employers to develop their workforce and for individuals to enhance their career.

Dynamic learning environment that providing participants with professional networking opportunity.

Online support for participants after the training.

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