Complete Course on Applied Regression Modelling and Analysis for Delhi University Undergraduates
Certified Trainers
All our trainers have been vetted carefully by industry experts for their specialisation, teaching skills as well as years of experience. We put emphasis on actual learning outcomes of attendees with varied degrees of pace, pre-existing knowledge, and potential. In short, our approach is to leave no one behind!!! We are a team of young minds with high potential, backed by our enormously experienced advisory council members. We got you covered!
certification
You don't need a PhD to become a professional data analyst. All you need is a quest for well-aligned and self-paced learning. No programming skills are required; except some elementary computer skills. We start small, re-enforce applied learning, using tools and techniques coupled with numerous hands-on exercises. Upon completion, we issue a professional certificate with an exclusive digital badge, recognising your proficiency.
HANDS-ON Projects
In today's digital economy, three important competencies, namely, Critical Thinking, Collaboration, and Communication are essential, in addition to industry specific-skills. In order to develop these abilities through social and emotional learning, we encourage our learners to undertake extensive applied projects, headed by our industry experts and trainers. These projects equip you with the knowledge you need to thrive in the world of work.
Hello Delhi University Undergrads! It’s happening. We are excited to share this news with all of you that we have designed data analytics course especially for our Economics(Hons.) students who study three papers related to econometrics and data analysis. In this course, we will cover all the topics mentioned in the “Introductory Econometrics”, Applied Econometrics” and “Data Analysis” papers. This course will expose you to specialised data analytic techniques using STATA, which are widely applied across many National/International Organisations such as United Nations, Asian Development Bank, International Labour Organisation, Global Corporate firms, International Think Tank and Research institutes across the globe.
This course will help you getting started your journey into empirical research and policy making. This course will cover all the rigorous tools and techniques widely used for data analytics such as applied regression analysis, linear model extensions, maximum-likelihood estimation, Instrumental variable regression models, logistic regression models and panel data models.
Data Analytics is one of the most sought after skills in the 21st century. As they say, data is the new oil. Having said that, we teach you and make you a PRO in getting started with statistical software, using both drop-down menu as well as command windows. Hang on, It’s just the beginning! There are many secret recipes on the way. We teach you data visualisation techniques, using various advanced methods along with regression analysis. This will help you complete your mid-term assignments as well as intricate projects during various internships and jobs. Additionally, it prepares you for bigger roles in the world of work.
It’s time to upgrade your career! – Reserve your seat now!
Once you get the hang of our courses and learn valuable skills, they will become an analytical “SWISS ARMY KNIFE” valuable in just about every professional, economic and social setting. LET US LET YOU IN ON A SECRET: You just need to be two steps ahead of the rest. In short, the success lies in getting started!
For more details, see course agenda.
For more info, give us a call or simply leave a text. We are open 24/7 to assist you!
We can also be reached at our email address: [email protected]
Part I: Working with Stata Basics
Getting to Know Stata: The Essentials
- Stata Interface and File Management
- Stata Data File Management
- Getting Started With Data Files
- Types of Variables in Data Files
- Opening and Saving Stata Data Files
- Generate/replace variable/values in stata
- Data Browser and Editor
- Using Different Types of Data Files in Stata
- If statements
Essential Stata Commands
- tabulate
- summary and describe
- generate
- replace (if)
- recode
- encode
- decode
- rename
- drop/keep (if)
- describe
- display
- set more off
- label define
Stata File Formats and Data Management
- Do File, dictionary file, data file and log file
- Opening, creating and Saving Do Files
- Translation From the Command Window
- Getting the Most Out of Do Files
- Data Modification and Transformation
- Append datasets
- Merge Datasets
- Collapse Datasets
- Reshape Datasets
- Working With Labels
- Missing Data
- Using String Variables
- Saving Results
Part II: Applied Regression Modelling and Analysis
Regression Analysis
- Nature and Scope of Econometrics
- Stages in Empirical Econometric Research
- Correlation Vs. Regression
- Analysis of Variance and Covariance
Linear Regression Analysis
- Ordinary least squares
- Goodness of fit
- Hypothesis test for slope coefficient
- Prediction in linear regression
Multiple Regression Analysis
- Estimation
- Goodness of fit and the F-test
- Adjusted R²
- Partial slope coefficients
- Prediction in multiple regression
- Standardisation and relative importance
Linear Regression Assumptions, Diagnostic Testing and Inference
- Correct specification of the model
- All X-variables relevant, and none irrelevant
- Linearity
- Additivity
- Absence of multicollinearity
- Assumptions about residuals
- That the error term has a conditional mean of zero
- Homoskedasticity
- Uncorrelated errors
- Normally distributed errors
Advanced Topics in Regression Analysis
- Dynamic econometric models
- Instrumental variable estimation
- measurement errors
Panel Data Models and Estimation Techniques
- Pooled regression
- Fixed effect models
- Random effect models
Introduction to Logistic Regression Analysis
- Probit models
- Logit models
- Tobit models for truncated data
- Multinomial logistic regression models
Part III: Capstone Project
All hands-on exercises will be based on real-time publicly available datasets using stata for effective learning.
| College/University Students | Non-Profit/Government Employees | Other Working Professionals | |
| Course Fee | INR 30,995 | ——– | ——– |
This course is especially designed for Delhi University undergraduates. However, It will be beneficial for all those who are in pursuit of learning advanced data skills, using advanced tools and techniques; irrespective of their educational background and level.
Basic Computer Skills such as Microsoft Suite is essential. That is it! Rest we start at a very basic level, and gradually build on your pace of learning as well as pre-existing knowledge. Remember, we have your back!
Please Note: In case you are worried about joining this course with us, we want to tell you in advance… It’s going to be extremely difficult initially. And if you do join and complete the course, you will get more out of this than compared to your peers. After all, THE EARLY YOU START, THE MORE YOU GET!
Terms and Conditions
- Registration closes one week prior to the commencement of the course.
- To ensure quality, only limited number of seats are available in every batch. Register early to guarantee your spot.
- Payment of course fee is mandatory prior to the course start date.
- For student registration rates, a proof of valid student id or authorised enrolment letter is a must.
- For group discounts, contact our sales team at [email protected]
- Learners are required to bring their own laptops. However, we provide laptops under special circumstances for class-use on the availability basis.
- No fee returned for cancellations made.
- Flat 20% off on all courses for economically weaker students (TnC applied). One special offer is applied at a time.
- The Cost of stata is neither included, nor do we sell the software.
Reserve your seat now!
Skills You will gain
- Stata Interface and File Management
- Types of variable and data management
- data visualisation
- data modification and transformation
- Regression Vs Correlation
- Analysis of Variance and Covariance
- Essential stata commands
- Append datasets
- Merge Datasets
- Working with labels
- Linear regression analysis
- Multiple regression analysis
- Endogeneity and measurement error
- Linear regression assumptions and diagnostic testing
- statistical inference
- Model specification
- Measurement error problem
- Heteroskedasticity
- Multicollinearity
- Instrumental variable estimation
- Pooled regression
- Random effect models
- Fixed effect models
- Logit and probit models
- Tobit models for truncated data
- Multinomial logistic regression
Career Outcomes
- Start a new career after completing this course
- Prepare you for higher studies and meaningful decent jobs
- Complete academic and professional projects diligently
- Get a pay increase or promotion
- Prepare you for bigger roles in the organisation
- Get tangible career benefits from this course
- Prepare you for life-long learning outcomes
course timeline
Earn a certificate upon completion
FAQs
The blend of your subject knowledge and use of STATA as a tool is what makes you an expert in applied data analytics. STATA is used in over 180 countries, which makes it one of the widely used statistical software in the world. STATA provides an extensive list of statistical techniques that one can learn and take advantage of their use across various projects and day-to-day work in the fields of economics, business, education, political science, sociology, biostatistics, finance, marketing and management.
Stata is an effective analytical and statistical tool and widely used in over 180 countries, across various national and international organisations. Using stata is highly effective and its multipurpose applications are advantageos; especially in the disciplines of education, medical, economics, business, marketing, biostatistics and behavioral sciences. Researchers in these fields have relied on stata for its accuracy, efficiency, extensibility and reproducibility. This software is also extensively employed for graphical illustration and visualisation, data management, research outputs, and regression modelling analysis.
Stata is a statistical software for statistical analysis developed by statistician. On the other hand, Python is a programming language written for programming purposes by the programmers. R seems neither here nor there. In short, it is a programming language created by statisticians. With python gaining popularity for its use as a programming language, R is going through an existential crisis. If the major purpose is to do statistical analysis then, Stata is the only street boy who has beaten E-views and SPSS and all set for the big boys table with its latest Python integration support, meaning any exercise you do in Python now directly can be done in Stata. All in all, Stata is best known for its simplicity, ease of use, accuracy, efficiency and graphical user interface (GUI).
Learning stata and statistics are two different things. However, in order to learn more nuanced concepts and their applications in stata; the subject knowledge is required at the later stages of learning. Many people (irrespective of their degree courses) choose data analytics as a specialisation. Therefore, we have carefully designed our courses, keeping in mind pre-existing knowledge and acquisition pace of our learners. We start at a very basic level and cover all necessary statistical concepts using mixed approach. We don't just instruct coding skills, we teach concepts and data skills, which are rendered necessary to become skilled in data analytics.
Stata being a statistical package is user-friendly with interactive interface (GUI as well as command-based window) and easy to learn from scratch. It is widely used in the research sector as well as in the corporate world. All the research centres of the major consulting firms, universities, government institutions, NGOs, international organisations; such as united nations, International Labour Organisation, World Bank, UNDP, WHO, etc., use stata for evidence-based data analysis and econometric modelling.
Regression analysis, multivariate regression analysis, logit or probit regression, time-series models, panel-data models, structural equation models, instrumental variable models, generalised least square models, cross-sectional data management, capital asset pricing models, survey data management - you name it and it will produce results in the blink of an eye. Whether you are a political scientist, an economist, a business analyst, a statistician or a sociologist; you always need data-backed facts to support your well-thought narration, and stata makes it possible.
Because It's All About Happy Students...
Initially, I wasn’t quite sure about training programs as I already had so much on my plate and I thought degree is more than enough to help me grab any opportunity in the market. Alas, I had a little setback when I couldn’t find internship to polish what I learnt during first two college years because there is a huge gap between what is being taught at the university level and what is actually being required at the work place. I did what I could, joined graduate level course on the recommendation of my friend. Not only that the young team at the outlier analytica work on the practical aspect of what you have learnt but also prepare you for the job market through their career service program. I will always be indebted for their services.
Ankit
University of Cambridge
Being a student from small town, I was never exposed to the college culture before. I had little knowledge of skills required to succeed. Though formal higher education is a must as it increases your chances of success but we need a lot more than that in this ever changing digital economy. I had idea about data analytics as being a student of economics major but I was confused between which software or programming language to learn. I wanted to have my options open for MBA as well as MSc. But to excel in both the streams, a little more than just coding or programming is required. This gap was fulfilled by Outlier as majority of the trainers are PhDs. Their tailor-made data analytics programs are essential for higher education aspirants. I finished my masters from DSE.
Ksheerja
Delhi School of Economics
The only question that bothered me always, how can I maximise the value of my limited stock of money? Either I can borrow and take admission in some MBA institution after finishing my undergrad or learn the skills which will increase my employability, take the job, earn money and then join executive MBA side-by-side. I was not very great in studies but never stopped hustling for my future. Today I am working as a teaching assistant at ISB, Hyderabad. I will always be grateful for their guidance. They will not make any false promises. Nor they will try to teach you data analytics in 10 hours or 20 hours as claimed by many other institutions. It’s a gradual process and if you are determined they will never leave your side. They are true mentors and understand the job market.
Abhishek
ISB, Hyderabad
Excellent quality content. Variety of courses that really get you interested in the topics and approaches of data analytics and research. Choose on the basis of your understanding and requirement as I am sure one size doesn’t fit all. All the courses are designed keeping in mind the interests of various types of learners; in such a way that broadens your understanding of the complex issues and problems and also develop critical thinking. They teach you various approaches to reframe problems and find their solutions.
rishabh
university of delhi
I would highly recommend data analytics courses provided by outlier analytica to anyone curious in learning what data analytics is all about. The course instructors simplifies the contents that make you understand concepts easily. If you are a beginner, tools and materials provided by outlier are very helpful to start with. Beginning with the useful commands to manage different types of datasets to teaching econometric models and results interpretations, they cover almost everything.
Muskan
amity university
Excellent delivery of course content! The team outlier is quite vibrant in terms of knowledge, quest for learning and always ready to take challenges. I will not say that they are google or they know it all but they know “how to know” and tackle challenges and problems with creative solutions. I have worked with them previously. They always strive for excellence and never settle for anything less than anyone deserves; kind of a win-win situation for everyone.
Amit
faculty, university of delhi
They have three different types of courses which you can classify into beginners, intermediate and advanced levels. Being a researcher, I was looking to work with large government datasets which comes in many different formats. Normally, it takes over 101-12 months to cover the basics of it. However, team outlier with vast years of experience into handling these large datasets, I was able to accomplish my goals pretty soon and concentrated on the real work of research. They make it easy and less time-consuming. Team has many years of experience working with international organisations which is a plus point if you are seriously looking for career in research sector. I would recommend their advanced level courses to anyone in the research sector.
suresh
jawaharlal nehru university
I was mainly looking for career services which could help me getting into top research organisations such as UNDP, UN, World Bank, ADB, ILO etc. However, I wasn’t aware of their interview process mainly for their annual Young professional programs. Outlier not only guided me to prepare solid cover letter and CV but also helped me prepare for the competency based interview which is now becoming a norm across various international organisations. They have a long checklist of questions prepared for such interviews which is apt for anyone seeking to start their career with such organisations. It’s a thumbs up from my side if you are looking for either data analytics courses, internship, collaboration or career services. Three cheers for team outlier!
Unnaty
boston university
I did not have any background in data analytics. It becomes little hard especially when you do not have statistical background. However, with increasing demand for such skills in the investigative journalism, you need more than microsoft excel skills and joined the beginners’ level course at outlier analytica. It cleared the basics of data analytics (i.e. built strong foundation) and made me aware about the correct path to learn data analytics and its career prospects across various industries in the long run. Overall, very good learning experience with the trainers and easy to understand course content, however, still a long way to go. I would recommend courses provided by outlier to anyone who is from non-statistical background.