Mathematics for Economics &ndash; Basics
Mathematics is the language of modern economics, yet many students find it intimidating. This course is designed to change that. Mathematics for Economics &ndash; Basics explains the essential mathematical tools every economics student needs, in simple, clear, step-by-step language, with no prior advanced knowledge required.
Each concept is built from the ground up and connected to how it is actually used in economic analysis, whether it&rsquo;s finding marginal cost and marginal revenue, optimizing profit, calculating consumer surplus, or solving systems of equations in market models.
What you will learn
<ul>
	<li>Set Theory: Sets, operations on sets, and Venn diagrams</li>
	<li>Relations and Functions: Types of relations and functions, and how economic variables relate to each other</li>
	<li>Permutation and Combination: Counting techniques and their applications</li>
	<li>Differentiation: Rules of derivatives, rates of change, and applications such as marginal analysis and optimization</li>
	<li>Integration: Basic techniques of integration and applications such as total cost, total revenue, and consumer and producer surplus</li>
	<li>Matrices and Determinants: Matrix operations, determinants, inverse of a matrix, and solving linear equations</li>
</ul>
Who is this course for?
This is a basic course for every economics student, whether you are studying at UG or PG level or preparing for an exam such as:
<ul>
	<li>CUET Economics</li>
	<li>UGC NET</li>
	<li>Assistant Professor recruitment exams</li>
	<li>RBI Grade B</li>
	<li>Any other exam that tests economics</li>
</ul>
It is also ideal for anyone who wants a strong mathematical foundation before studying microeconomics, macroeconomics, or econometrics.
What you&rsquo;ll gain
By the end of this course, you will be comfortable with the core mathematical concepts used in economics, able to solve problems confidently, and ready to move on to advanced economic theory and quantitative subjects.
Course validity: This course comes with 2 years of validity, so you can learn at your own pace and revisit the lessons whenever you need.
Refund policy: Please note that once the course fee is submitted, it will not be refunded.&nbsp;

Mathematics for Economics - Basics

Econeeti

Econometrics - I 
MA Economics | Rajasthan University
This course is designed to take you from the very basics of econometrics to a confident, practical understanding of the subject. Whether you&#39;ve never studied econometrics before or just want to strengthen your fundamentals, this course starts from scratch and builds up step by step &mdash; no prior background needed.
Through clear explanations and practical application, you&#39;ll learn the core tools economists use to analyze real-world data, along with hands-on exposure to SPSS software.
The course consists of recorded lectures, so you can learn at your own pace and revisit topics whenever you need.
Please note: Once the course fee is submitted, it is non-refundable under any circumstances.
<hr />
Syllabus
Module 1: Basic Econometrics 
Nature, meaning and scope of econometrics; Simple and General Linear Regression Model &mdash; assumptions, estimation (OLS approach) and properties of estimators; Derivation of least square parameters; Goodness of fit and econometric inference; Functional forms of regression models &mdash; Log-Log, Semi-log, Reciprocal transformation.
Module 2: Violation of Assumptions 
Heteroscedasticity; Multicollinearity and Autocorrelation; Specification problems. Regressions with qualitative independent variables: dummy variable technique; Regression with binary dependent variables &mdash; Logit, Probit and Tobit models.
Module 3: Dynamic Econometric Models 
Auto-regressive and distributed lag models &mdash; Koyck model, Partial adjustment model, Adaptive expectations, Almon approach to distributed lag models. Methods of instrumental variables. Introduction to SPSS software.

Econometrics - I | MA Economics | Rajasthan University (Recorded Only)

Econometrics - I 
MA Economics | Rajasthan University
This course is designed to take you from the very basics of econometrics to a confident, practical understanding of the subject. Whether you&#39;ve never studied econometrics before or just want to strengthen your fundamentals, this course starts from scratch and builds up step by step &mdash; no prior background needed.
Through clear explanations and practical application, you&#39;ll learn the core tools economists use to analyze real-world data, along with hands-on exposure to SPSS software.
The course consists of recorded lectures, so you can learn at your own pace and revisit topics whenever you need.
Additionally you can ask your doubts directly via WhatsApp at 7300069750.
Moreover, you get a chance to directly connect with our faculty Mangal Kumar Sharma for mentoring. Whether you want a career advise or just want to follow this course optimally, the faculty is here to answer you directly. Just drop a msg on Whatsapp to connect with him.
Please note: Once the course fee is submitted, it is non-refundable under any circumstances.
<hr />
Syllabus
Module 1: Basic Econometrics 
Nature, meaning and scope of econometrics; Simple and General Linear Regression Model &mdash; assumptions, estimation (OLS approach) and properties of estimators; Derivation of least square parameters; Goodness of fit and econometric inference; Functional forms of regression models &mdash; Log-Log, Semi-log, Reciprocal transformation.
Module 2: Violation of Assumptions 
Heteroscedasticity; Multicollinearity and Autocorrelation; Specification problems. Regressions with qualitative independent variables: dummy variable technique; Regression with binary dependent variables &mdash; Logit, Probit and Tobit models.
Module 3: Dynamic Econometric Models 
Auto-regressive and distributed lag models &mdash; Koyck model, Partial adjustment model, Adaptive expectations, Almon approach to distributed lag models. Methods of instrumental variables. Introduction to SPSS software.

This course is designed to take you from the very basics of econometrics to a confident, practical understanding of the subject. Whether you've never studied econometrics before or just want to strengthen your fundamentals, this course starts from scratch