Data Science for Business Decision
Program Overview
Data Science for Business Decision
Course Overview
Data Science for Business Decision is a stackable course that provides an understanding of the end-to-end data science lifecycle, from identifying and understanding business problems to making data-driven decisions. The course covers various aspects, including performing data analysis, applying basic statistical techniques, and machine learning algorithms to extract insights.
Course Objectives
- Data preparation, including cleaning, enriching, and validating data through statistical approaches.
- Analyzing data with multiple linear regression and logistic regression, and evaluating model performance.
- Developing visualizations and dashboards to effectively communicate key analysis results and insights.
Course Description
This three-day course is part of the ModularMaster Certificate in Data Science & Artificial Intelligence programme. It concludes with a comprehensive project that demonstrates the application of learned skills in a real-world scenario.
Target Audiences
This course is suitable for participants looking to build a foundation and skills towards a data-related role and to solve day-to-day problems using data analytics.
Course Structure
Day 1
- Data Science Lifecycle (from business problem to data-driven decision)
- Data Preparation – Data cleaning – Extracting text, converting to numeric, splitting text, removing extra spaces, combining cell values, dealing with dates
- Data Preparation – Data enrichment – Performing VLookup using dictionary
- Data Preparation – Data validation – Sample vs population, measures of central tendency, measures of dispersion, moments of distribution, normal distribution, Quartile-Quartile plot, correlation analysis, T-test
Day 2
- Data Science Modelling – Regression – Multiple linear regression, interpretation of regression results.
- Data Science Modelling – Regression – Multicollinearity, correlation matrix, variation inflation factor, evaluation metrics using MSE, RMSE, and MAE
- Data Science Modelling – Classification – Logistic regression, evaluation metrics using confusion matrix, accuracy, precision, recall, F1 score, true negative rate, false positive rate, ROC curve, and AUC value.
- Data Visualisation, Business Decision – Creating visuals and dashboard from Excel table, Steps to data storytelling with dashboard.
Day 3
- Project consultation
- Project presentation
Entry Requirements
- Participants should preferably have passed mathematics at GCE 'O' Level or equivalent.
- Participants should preferably have basic knowledge of statistics.
- Participants should be conversant with basic IT skills such as software installation, file management, and web navigation.
- Participants should have basic familiarity with Microsoft Excel: using built-in functions to perform some calculations.
- Participants are required to bring their laptops.
Financial Matters
Course Fees
- Full Course Fee: S$3,270.00 (including GST and excluding supplementary fee)
- Course fee: S$3,000.00
- GST (9%): S$270.00
- Course fee payable: S$3,270.00
Subsidies
- Enhanced Training Support for SMEs: S$381.00
- Course fee: S$3,000.00
- Baseline SkillsFuture Funding – Grant: S$(2,100.00)
- Nett course fee: S$900.00
- GST (9%): S$81.00
- Enhanced Training Support for SMEs – Subsidy: S$(600.00)
- Course fee payable: S$381.00
- Singapore Citizens aged 40 and above: S$381.00
- Course fee: S$3,000.00
- Baseline SkillsFuture Funding – Grant: S$(2,100.00)
- Nett course fee: S$900.00
- GST (9%): S$81.00
- Mid-Career Enhanced Subsidy: S$(600.00)
- Course fee payable: S$381.00
- Singapore Citizen 39 years old or younger: S$981.00
- Course fee: S$3,000.00
- Baseline SkillsFuture Funding – Grant: S$(2,100.00)
- Nett course fee: S$900.00
- GST (9%): S$81.00
- Course fee payable: S$981.00
- Singapore Permanent Residents (SPR): S$981.00
- Course fee: S$3,000.00
- Baseline SkillsFuture Funding – Grant: S$(2,100.00)
- Nett course fee: S$900.00
- GST (9%): S$81.00
- Course fee payable: S$981.00
GST Rate
The course fees payable above are inclusive of 9% GST rate.
