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PREREQUISITE COURSE

Quantitative Skills for Statistical & Econometric Analysis

(Weekend Classes — Free To Enroll)

Build a Strong Mathematical Foundation for Econometrics

Get ready to excel in advanced statistical and econometric analysis by mastering essential mathematical concepts first. This free weekend course is designed for students, researchers, and professionals who need a refresher or foundational understanding of core quantitative skills — all taught in a simple, clear, and application-oriented way.

Who Should Attend?

  • Students preparing for Stats2Econo’s Advanced Econometrics or Time Series courses
  • Non-math background students needing a foundation in quantitative reasoning
  • Researchers returning to academics after a break
  • Professionals who need a math refresher before diving into data analytics

Why Join This Course?

  • Build the mathematical base required for advanced econometrics
  • Ideal for beginners or students from non-mathematics backgrounds
  • Fully free of cost, supported by Stats2Econo for learner development
  • Live, guided weekend classes to fit your schedule
  • Learn with an expert who simplifies complex math concepts

What You’ll Learn


BASICS

Overview:
Start with basic algebra and graph understanding — essential for interpreting models and equations.

Topics Covered:

  • Graphs and their interpretation

  • Functions and relationships

  • Linear Equations

  • Non-linear Equations


CALCULUS

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

Topics Covered:

  • Differentiation

  • Partial Differentiation

  • Integration

  • Difference Equations

  • Differential Equations


MATRICES

Overview:
Matrices are used in regression, optimization, and structural models. This module covers everything you need to handle matrix-based operations in STATA and other tools.

Topics Covered:

  • Vectors and Matrices

  • Determinants

  • Matrix Inversion


PROBABILITY & DISTRIBUTIONS

Overview:
Get familiar with uncertainty and randomness — the building blocks of statistical inference.

Topics Covered:

  • Randomness and Probability Concepts

  • Random Variables

  • Probability Distributions

  • Sampling Distributions


 Who Should Attend?

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

  • Non-math background students needing a foundation in quantitative reasoning

  • Researchers returning to academics after a break

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

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