Understanding economic relationships is the foundation of theoretical econometrics and applied econometrics. You want to know the maximum likelihood of events and relationships to plan and pivot efficiently.The field is full of highly technical processes, so building those skills with appropriate courses could help you get started. Learn Econometrics online - Here you can find the list of top 10 free and low cost Econometrics online courses with certificates from top education providers.
★ 4.4 Rating (646+ ratings) | 3,366+ students | 4 hours to complete | Earn a Certificate upon completion | 13 downloadable resources | Full lifetime access | 30-Day Money-Back Guarantee.
In this course we'll help you understand the key Econometric theories and in particular give you an intuitive framework to build on. Econometrics can often feel overwhelmingly complicated. This course will give you a solid foundation to prepare for your specific University or College's Econometrics exam.With rates for Econometrics tutoring starting out at about $50+ per hour, our price of $74 for over 4 hours of content offers additional value by giving you unlimited access to the material and allowing you pause, rewind, fast forward and generally review the content to increase retention.
In this 'Explaining the Core Theories of Econometrics' course you will learn:
If you are studying Econometrics at university or college and would like some assistance understanding it then we can help. Our course may also be useful if you are a top student who wants to learn faster and in a more efficient manner. Either way, this course is best watched all at once to give you a complete overview of the subject in a relatively short period of time, after which you can then return to your studies.
★ 4.6 Rating (62+ ratings) | 602+ students | 11.5 hours to complete | Earn a Certificate upon completion | 28 articles | 4 downloadable resources | Full lifetime access | 30-Day Money-Back Guarantee.
Most of the times, even if students understand the Econometrics concepts, they struggle with connecting the dots. Consequently, they end up getting confused and make silly mistakes in the exam. This course can help you in building a strong foundation of Econometrics so that you could avoid that confusing state of mind and ace your exam.
In this 'Econometrics: Solved Questions and Mathematical Proofs' course you will learn:
★ 4.5 Rating (217+ ratings) | 1,808+ students | 10 hours to complete | Earn a Certificate upon completion | 12 downloadable resources | 14 articles | Full lifetime access | 30-Day Money-Back Guarantee.
Econometrics has horrible fame. The complex theorems, combined with boring classes where it feels like you are learning Greek, give every student nightmares. This course stays away from that. It will focus on (1) giving you the intuition and tools to apply the techniques learned, (2) making sure everything that you learn is actionable in your career, and (3) offer you a tool kit of peer-reviewed econometric causal inference techniques that will make you stand out and give you the ability to answer the tough questions.In each section, you will learn a new technique. The learning process is split into three parts. The first is an overview of Use Cases. Drawing from business literature and my own experience, I will show examples where each Econometric technique has been applied. The goal here is to show that Econometric methods are actionable. The second part is the Intuition tutorials. The aim is for you to understand why the technique makes sense. All intuition tutorials are based on business situations. The last part is the Practice tutorials, where we will code and solve a business or economic problem. There will be at least one practice tutorial per section.
In this 'Econometrics for Business in R and Python' course you will learn:
We will code together. In every single practice tutorial, we will start from scratch, building the code line by line. As also an online coding student, I feel this has been the easiest way to learn.On top, the code will be built so that you download it and apply the causal inference techniques in your work and projects. Additionally, I will explain what you have to change to use in your dataset and solve the problem you have at hand.Econometrics for Business in R and Python is a course that naturally extends into your career.The course is packed with use cases, intuition tutorials, hands-on coding, and, most importantly, is actionable in your career.Feel free to reach out if you have any questions, and I hope to see you inside
★ 4.6 Rating (1,057+ ratings) | 145,017+ students | Approx. 66 hours to complete | Earn a Certificate upon completion | Flexible deadlines | Offered By: Erasmus University.
Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises.
In this 'Econometrics: Methods and Applications' course you will learn:
The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.
★ 4.1 Rating (70+ ratings) | 1,500+ students | Approx. 22 hours to complete | Earn a Certificate upon completion | Intermediate Level | Flexible deadlines.
This course is part of HSE University Master of Business Analytics and Master of Finance degree programs. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program https://inlnk.ru/WRM4O (Master of Business Analytics) and here https://inlnk.ru/WRM4O (Quantitative Finance)The course builds essential skills necessary for economic, business or financial analysis. The purpose of the course is to give students solid and extended skills in both econometric tools and their application to contemporary economic problems. We will learn both theoretical foundations and practical aspects of the main econometric topics: ordinary least squares as a core approach of linear regression analysis, the choice of the model specification, dealing with main problems of econometric analysis such as multicollinearity, heteroscedasticity, autocorrelation and endogeneity.
In this 'Econometrics' course you will learn:
After the course, you will be able to perform your own economic data analysis based on the understanding of described econometrics tools. You will learn how to apply the indicated tools and methods to various topics of your research and how to prevent and overcome problems, which can arise in real data analysis.
★ 4.8 Rating (48+ ratings) | 26,826+ students | Approx. 26 hours to complete | Earn a Certificate upon completion | Intermediate Level | Flexible deadlines.
This course is an important part of the undergraduate stage in education for future economists. It's also useful for graduate students who would like to gain knowledge and skills in an important part of math. It gives students skills for implementation of the mathematical knowledge and expertise to the problems of economics. Its prerequisites are both the knowledge of the single variable calculus and the foundations of linear algebra including operations on matrices and the general theory of systems of simultaneous equations. Some knowledge of vector spaces would be beneficial for a student.The course covers several variable calculus, both constrained and unconstrained optimization. The course is aimed at teaching students to master comparative statics problems, optimization problems using the acquired mathematical tools.
In this 'Mathematics for economists' course you will learn:
The objective of the course is to acquire the students’ knowledge in the field of mathematics and to make them ready to analyze simulated as well as real economic situations.Students learn how to use and apply mathematics by working with concrete examples and exercises. Moreover this course is aimed at showing what constitutes a solid proof. The ability to present proofs can be trained and improved and in that respect the course is helpful. It will be shown that math is not reduced just to “cookbook recipes”. On the contrary the deep knowledge of math concepts helps to understand real life situations.
★ Estimated 4 weeks to complete | Earn a Certificate upon completion | Self-paced | Institution: WageningenX | Level: Advanced.
Are you responsible for dealing with the economics and policies governing the transition- and implementation of biobased products and resources? Join the MOOC Economics and Policies in a Biobased Economy and discover the whole value chain from Research & Development, over application, processing, retailing and final demand. Learn how the value chain and the rents and their distribution along the chain are affected by policies. Examples such as the benefits and costs of developing, cultivating, and marketing genetically modified organisms (GMOs) will be discussed extensively.
In this 'Economics and Policies in a Biobased Economy' course you will learn:
Upgrade your knowledge about the recent trends in the circular economy and in sustainable business. Know how to measure adoption and environmental benefits, learn about the benefits and costs and the distribution of sustainable products, market power, approval processes, supply chain, guiding policies and the current social debate.
★ 12 weeks to complete | Earn a Certificate upon completion | Level :Undergraduate | Course Type :Elective.
As the name suggests, the subject econometrics aims to measure economic relationship. Using economic data and applying mathematical and statistical tools, it provides empirical validity of abstract economic theory. However, application of econometrics is not confined in the domain of economics, rather widespread application of econometrics is possible in other social science and pure science domains also. After successful completion of the course, students would be able to formulate econometric model to analyze data and then would be able to establish any cause-effect relationship in their preferred areas of interest like economics, finance, management, engineering and science. An expertise in econometrics increases the job prospect of the students significantly.
In this 'Introduction to Econometrics' course you will learn:
★ (462+ likes) | 10,923+ views | 2 hours to complete | Unacademy UGC NET.
India’s top educators will be teaching you daily on this channel. We will cover the entire syllabus, strategy, updates, and notifications which will help you to crack NTA UGC NET examination with flying colors.Unacademy platform has the best educators from all over the country, who take live classes every day.
★ 4.8 Rating (100+ ratings) | 390+ students | 7 hours to complete | Earn a Certificate upon completion | 25 downloadable resources | Full lifetime access | 30-Day Money-Back Guarantee.
This course, jointly with the Introductory Econometrics course, provides the most comprehensive and serious overview of first-year Econometrics available, to date, on Udemy.In this course, I set out to complete the first-year sequence by introducing the main methods in Applied Econometrics. Its purpose, shared by the Introductory Econometrics course too, is to lay the foundations for deeper and more comprehensive studies in Econometrics. Hence, I spend little time dwelling on the mathematical derivation and statistical nuances, covering only the bare minimum, and more time trying to convey the intuition, the concept and, essentially, why should you care. Namely, after having introduced the Potential Outcomes Framework, I set out to illustrate Randomised Experiments (RCTs), Linear Regression, Instrumental Variables (IVs), Difference-in-Differences (DiD), Regression Discontinuity Design (RDD) and provide a brief overview of Panel Data, Matching and Synthetic Control. I cap it off by providing you with a list of Applications, real world examples of what kind of questions these models allow you to address, in the hope that they fire your curiosity up. Which is the only thing that matters.
In this 'Introductory Applied Econometrics' course you will learn:
This course is especially for Economics Undergraduates who are about to take their second/third Econometrics course,Social Sciences Undergraduates who have taken a course in Statistics and want to harness data at the next level,Undergraduates who have to write any project, dissertation revolving around trying to establish the impact of X on Y,Social Sciences Postgraduates who have taken a course in Statistics and want to/have to write any project, dissertation revolving around trying to establish the impact of X on Y,Aspiring Policy Experts or Professionals, who need to be able to read and be critical of research and policy briefs they meet in day-to-day lives.
Econometrics explores the relationship between statistical analysis and empirical content. It analyzes economic variables using mathematical models to make predictions and forecasts and to explain consistently occurring incidents. Models are used to link one economic variable to another using established econometric models and available data sets. Economic models are a good match for statistical methods. We know that using a statistical model to explain these recurring relationships gives us a better understanding of where the economy is now and where it could be in the future depending on circumstances. This field is a rising star, and it could be a lucrative one for potential job seekers.