CUSTOMISED CORPORATE CLASS

Data Analytics Foundation Program for Business Intelligence Manager

🕐 10 Days

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What You'll learnRequirementsCertificateInstructor


This course is designed for aspiring Business Intelligence Manager or Business Intelligence Engineer. The objective of this course is to equip participants with the necessary skills including:

  • Business Innovation
  • Stakeholder management and business needs identification
  • Analytics and computational thinking
  • Data Visualization for both Exploration and Explanation
  • Data Engineering for Analytics enablement

What You'll learn

Analytics Project Management & Data Strategy

Introduction to

  • Data Analytics and Computational Modeling, and use cases
  • Analytics Life Cycle Management from innovation to deployment

Checklist for major steps of Analytics life cycle

  • Translation of business needs into analytical and reporting requirements.
  • Identify and recommend the type of data and data sources needed
  • Managing quality and reliability of predictive Analytics

Workshop: Business Needs Analysis & Data Strategy

Data Exploration Visually and Diagnosis

Introduction to

  • Statistics
  • Descriptive Statistics
  • Types of visualisations for trend and patterns identification

Workshop: Exploratory Data Analysis with Power BI

Hypothesis Testing: AB testing, T-tests, and paired sample T-test

Workshop: Hypothesis Testing using JMP

Statistical Models: Regression Analysis (Multivariate Regression and Logistic Regression)

Introduction to the foundation of Correlation Analysis

Simple Linear relation & Multivariate Linear Regression

Logistic Regression

JMP Workshop: Procedure & interpretation of Multiple Linear Regression and Logistic Regression

Machine Learning Models: Clustering and Decision Tree

Introduction to Basic Machine Learning

  • Clustering Techniques and its application
  • Decision Tree Techniques and its application

Workshop: Procedure & interpretation of Clustering and Decision Tree

Models comparison and selection criteria

Time Series Analysis and Forecasting (Decomposition method & ARIMA)

Introduction to Time Series Analysis and its application

  • Decomposition Method

Workshop: Decomposition method with MS Excel and interpretation of model

  • Box Jenkins Method (ARIMA & SARIMA)

Workshop: Procedure & interpretation of ARIMA with JMP

Analytics User Interface Design

Introduction to Data Storytelling

  • Alignment of reporting needs and choice of metrics and visualisation type

Workshop: UI Design for Dashboard, Diagnostics Analysis, Forecasting UI Design with Power BI

Data model blueprint development for UI enablement

  • Document of data required for UI enablement

Development data model blueprint for UI automation & enablement

Requirements

Business Analysts, Operation Analysts, Customer Intelligence, Market Intelligence, and Data Analysts.

None.

  • Participants must:
    • use their own computers to access Zoom class and download course materials
    • have the necessary access rights to install software applications and the appropriate libraries on their computers
    • be experienced in software installation and be able to follow instructions to install required software applications on their computer before class
    • have computers with the minimum technical specifications to be able to run software applications used in class
  • For increasing productivity in learning it is strongly recommended that participants have access to two screens to view the instructor’s presentation while using the software application displayed to reduce toggling back and forth.

JMP*, Orange, Microsoft Power BI, R or Python, Tableau

Certificate

Participants will receive a Certificate of Completion from DNA Capitals after meeting a minimum attendance rate of 75% and are required to pass the assessment. 

Instructor

MS CATHERINE KHAW

Data & Analytics Enthusiast
Evangelist. Enabler. Educator.
TTAB Deputy General Secretary

Catherine is a passionate advocate for data and analytics literacy, and she strongly believes in the power of data to have a positive impact on businesses and organisations. Her mission is to uplift the data fluency of individuals and organisations, helping them harness the opportunities presented by digitisation and big data to improve their business impact.

In envisioning a world where individuals and organisations truly comprehend the impact and potential of data in their professional lives, Catherine emphasises the significance of effective data management and utilisation. It is crucial for individuals and organisations to learn to manage and leverage data without feeling overwhelmed, as she firmly believes that everyone should possess a fundamental understanding of data science and its management.

National University of Singapore – Bachelor of Business Administration (B.B.A.), Marketing/Marketing Management
City University of Hong Kong – Master of Arts (M.A.), Quantitative Methods for Business