Business Strategic Intelligence Professional - Onsite @ Singapore

For more information: www.casugol.com/caai

International Acclaimed Certification. 5-Star Reviews

Suitable for everyone. Learn in an Interactive, Supportive, and Encouraging Environment.

Duration: 3-Day (Onsite) / 18 Hours (Online via Zoom)

Certification: Participants will receive a Certificate of Competency upon successfully completing the course 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

Designed to develop your analytical, critical thinking and advanced problem-solving skills within workplace.

Acquire advanced knowledge on how to work with data from different business units to achieve business strategic intelligence using Python Programming.

Pre-Requisite

No pre-requisite. Business Strategic Intelligence Professional (BSIP) is suitable for anyone with no prior technological experience

Examination

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

Participants are expected to score a minimum of 70% to pass the examination

Module 1 - Introduction to Business Intelligence / Data Analytics

• 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

• Understanding Data Analytics Maturity Model
  
• Descriptive, Diagnostic, Predictive and Prescriptive Analytics
  
• Text Analytics vs. Web Analytics
  

Module 3 - Data Warehouse, ETL vs. ELT

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

Event Venue & Nearby Stays

CASUGOL, 1 Fullerton Road, Singapore, Singapore