PREREQUISITE COURSE

Quantitative Skills for Statistical & Econometric Analysis

(Weekend Classes — Free Enrollment)

Build a Strong Mathematical Foundation for Econometrics

Prepare yourself to excel in advanced statistical and econometric analysis by mastering the essential mathematical concepts first. This free weekend course is designed for students, researchers, and professionals who need a refresher or a solid foundation in core quantitative skills — all delivered in a simple, clear, and application-focused way.

Who Should Attend?

• Students preparing for Stats2Econo’s Advanced Econometrics or Time Series Analysis courses

• Non-mathematics background students who require a strong base in quantitative reasoning

• Researchers returning to academics after a gap

• Professionals who need a math refresher before moving into data analytics

Why Join This Course?

• Build the essential mathematical base required for advanced econometrics

• Perfect for beginners and students from non-mathematics backgrounds

• 100% free of cost — fully supported by Stats2Econo for learner development

• Live, guided weekend classes designed to fit busy schedules

• Learn with an expert instructor who simplifies complex mathematical concepts

👉 [Apply Now]

What You’ll Learn

BASICS

Overview:
Start with basic algebra and graph interpretation — fundamental tools for understanding models and equations.

Topics Covered:

• Graphs and their interpretation

• Functions and relationships

• Linear equations

• Non-linear equations

CALCULUS

Overview:
Understand how change is measured in economics and econometrics. Learn to model growth, decline, and interactions.

Topics Covered:

• Differentiation

• Partial differentiation

• Integration

• Difference equations

• Differential equations

MATRICES

Overview:
Matrices are widely used in regression, optimization, and structural models. This module equips you with the skills needed to handle matrix-based operations in STATA and other analytical tools.

Topics Covered:

• Vectors and matrices

• Determinants

• Matrix inversion

PROBABILITY & DISTRIBUTIONS

Overview:
Develop an understanding of uncertainty and randomness — the building blocks of statistical inference.

Topics Covered:

• Randomness and probability concepts

• Random variables

• Probability distributions

• Sampling distributions

Who Should Attend? (Reiterated)

• Students preparing for Stats2Econo’s Advanced Econometrics or Time Series Analysis courses

• Non-mathematics background students who need a foundation in quantitative reasoning

• Researchers re-entering academics after a break

• Professionals seeking a math refresher before transitioning into data analytics