Econometrics is Fun
Get hands-on experience at the leading models of Econometrics, seeing structures, and providing methods of identification, estimation and inferences on real data-sets
Classes : 30 Days : 3 months Duration : Weekdays / Weekends
Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then this Econometrics is the right path for you, as you learn how to translate data into models to make forecasts and to support decision making.
Econometrics has become one of the most important skills that every student of Management & Engineering should acquire, if they are serious about their career.
The use of Econometrics across industries for decision making, problem solving, and driving organizational innovation makes it essential skill to develop. Econometrics is used as a competitive strategy by all successful companies. A question comes first, then data are to be collected, and then finally the model or method comes in. Depending on the data, however, it can happen that methods need to be adapted.
Trainers:
Experts from the field of Maths, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia
Who this course is for:
People aiming at a hands-on approach to Econometrics & Decision Making
What you will learn:
- Explain the basic methods of Econometrics
- Apply different econometrics models to examples of daily life
- Interpret and carry out several basic analysis strategies (correlation, regression and distribution)
- and a Deep Dive in the various real life data sets. Check the curriculum for more details
You are a graduate (or pursuing) with maths, economics or statistics background
The course will cover several key models as well as identification and estimation methods used in modern econometrics
Outline:
- Review of regression and partialling out. Simultaneous inference
- Linear Structural Equations Models (SEM), Wright`s IV Principle, linear GMM
- Nonlinear SEMs, Hansen`s Euler Equations, nonlinear GMM
- Bootstrap and simulation. Inference using BS
- Binary choice models, distributional regression, and M-estimators
- Linear and non-linear panel models, basic principles
- GMM and M estimators in high dimensions. Bias correction
- Program evaluation and Treatment Effect Models (TEMs)
- Modern principles for estimation of high-dimensional models
- Post-selection and post-regularization inference in SEMs and TEMs
Leave A Comment
Machine Learning using Python
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!
Machine Learning using SAS
SAS Predictive Analytics and Machine Learning
R For Data Science
This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.
Machine Learning using R
Build a Portfolio of 12 Machine Learning Projects using R, SVM, Regression, Unsupervised Machine Learning & More!
Predictive Analytics for Business
Build a solid foundation of tools and techniques for building machine learning models to make predictions so that business can gain insights
Digital Transformation
The ongoing digital revolution continues to disrupt every industry. Become the innovator your company needs & take the reins of Digital Transformation.
Maths for Data Science
Linear Algebra, Statistics, Calculus, & Probability. Together these 4 branches of Maths are the four foundational pillars of everything in Data Science domain
Statistics for Managers
Statistics and Probability form the core of Business Analytics, widely used to analyze, visualize, interpret data and discover insights
Business Analytics for Managers
Make Data-Driven Business Decisions. Develop the analytical skills to turn data into actionable solutions to solve business problems
WEKA
Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience
Diploma as Business Analyst
Become a skilled Business Analyst and boost your career options
Time Series Analysis and Forecasting
No matter what the forecasting problem is, If there is some time dependency, then you know it - the answer is: Time Series Analysis
Reinforcement Learning
A fun and hands-on introduction to RL with Python, enabling you to create intelligent machines and Deep RL
Deep Reinforcement Learning
Combine the power of Reinforcement Learning with Deep Learning to solve complex problems in various domains
Data Analysis using ChatGPT
Master the cutting edge technologies by demonstrating how to converse and perform data analytics with ChatGPT
Mastering AI Tools
Unlock Your Creative Potential: A Comprehensive Guide to Harnessing the Power of AI Tools for Success & Productivity
AWS SageMaker
Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
Diploma in Equity Trading
Learn the secrets of professionally responsible equity trading and investing
Computational Thinking and Data Science
Think like a Computer Scientist !!
Build a Large Language Model
Learn to build LLMs from scratch
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.