Data Analysis and Modelling for Beginner Maths
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- Curriculum
- FAQ
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? Course Description
Data Analysis and Modelling for Beginner Maths provides a comprehensive exploration of data representation, statistical summaries, and linear modelling, tailored to the Further Mathematics curriculum across Australia. Whether you’re studying for VCE Further Mathematics, NSW HSC Standard Mathematics 2, QLD General Mathematics, WA ATAR Mathematics Applications, or SACE Stage 2 General Mathematics, this course builds strong data literacy and critical thinking skills.
You’ll master the fundamentals of categorical and numerical data analysis, scatterplots, correlation, regression modelling, residual analysis, time series interpretation, and seasonal adjustment techniques. Clear visual explanations and structured practice ensure you can confidently handle real-world data and exam questions.
Perfect for students who want a solid grasp of statistics and modelling before advancing to other topics like financial maths or matrices.
⭐ Key Features
- Curriculum-Aligned Content Mapped to VCE Further Maths Core, HSC Standard Mathematics, QLD General Mathematics, and WA/SACE equivalents.
- Master Data Analysis Techniques Learn to describe, model, and interpret data distributions, associations, and time series.
- Hands-on Linear Modelling Use technology to perform least squares regression, analyse residuals, and improve model accuracy through transformations.
- Real-World Application Focus Apply statistical tools to real datasets, practical predictions, and business/industry modelling.
- Step-by-Step Problem Solving Guided walkthroughs for critical concepts like z-scores, Pearson’s r, seasonal indices, and de-seasonalised analysis.
- Interactive Q&A + Optional 1-on-1 Tutoring Each course includes a built-in Q&A section. Ask questions where you’re stuck—our tutors will respond within the course. Need deeper support? 1-on-1 tutoring is available.
Additional fees apply for private sessions.
? Keyphrases
- Data Analysis and Modelling
- Further Maths Core Statistics Course
- Senior High School Data and Statistical Modelling
- VCE Further Maths Core – Data and Associations
- NSW HSC Standard Maths – Data Analysis
- QLD General Mathematics – Statistical Modelling
- WA ATAR Applications – Statistical Models
- SACE Stage 2 General Mathematics – Statistics
- Time Series and Regression Modelling
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1.1.1 Overview of Data Types -
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1.1.2 Displaying Distributions of Categorical Data
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1.1.3 Statistical Analysis of Categorical Distributions
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1.1.4 Displaying Numerical Data
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1.1.5 Mean, Median and Mode
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1.1.6 Interquartile Range (IQR) and Upper/Lower Fence
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1.1.7 Describing Numerical Distributions - Shape
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1.1.8 Describing Numerical Distributions - Centre
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1.1.9 Describing Numerical Distributions -Spread
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1.1.10 Box Plots and the Five Number Summary
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1.1.11 Statistical Analysis of Numerical Distributions
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1.1.12 Normal Distribution and The 68-95-99.7% Rule
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1.1.13 Normal Distribution - Standardised Values/z-scores
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1.1.14 Further Statistical Concepts
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1.2.1 Response and Explanatory Variables
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1.2.2 Relationships between two Categorical Variables
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1.2.3 Relationships between Numerical and Categorical Variables
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1.2.4 Scatterplots and Association between Numerical Variables
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1.2.5 Relationships between two Numerical Variables
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1.2.6 Pearson’s Correlation Coefficient
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1.2.7 Cause and Effect
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1.2.8 Non-Causal Relationships
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1.3.1 Least Squares Linear Regression
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1.3.2 Least Squares Regression using Technology (Casio graphic calculator)
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1.3.3 Modelling Linear Associations
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1.3.4 Using the Formula for a Fitted Line
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1.3.5 Coefficient of Determination and Measures of Strength
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1.3.6 Residual Plots
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1.3.7 Residual Analysis
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1.3.8 Linearization and Square Transformatiuon
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1.3.9 Log Transformation
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1.3.10 Reciprocal Transformation
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1.3.11 Least Squares Regression for Transformed Data
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Course Title: Data Analysis and Modelling for Beginner Maths
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Level: Senior High School
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Suitable Curricula:
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VCE Further Mathematics (Core)
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NSW HSC Standard Mathematics 2
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QLD General Mathematics
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WA ATAR Mathematics Applications
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SACE Stage 2 General Mathematics
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Mode: Online, Self-Paced
This course is designed for:
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Students studying general or further mathematics in Australian senior secondary curricula
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Learners looking to build a strong foundation in data analysis and interpretation
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Those preparing for assessments requiring statistical reasoning and modelling
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Anyone aiming to improve confidence in applying statistical tools to real-life problems
