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.
This course is designed to equip beginners with data analytics skills who have never worked with analytical tools and techniques before and have no real-time experience in handling large complex datasets. This course will expose you to specialized data analytic techniques using STATA, which are widely applied across many disciplines, such as, social sciences, economics, political science, sociology, behavioral sciences, and marketing and management. It is often a tedious task when there are a million observations and hundreds of relevant variables. The job is easy if it’s just one data file. But wait! What about multiple files of the same nature? What about working on multiple projects at the same time? Exploring such questions and finding answers, will be your first stepping stone in the world of data analytics. Further, we will be exploring regression analysis technique using real-time datasets. In short, the aim of this course is to provide learners with an in-depth understanding of the fundamental concepts of STATA, workflow, data management and analysis.
This course will 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. All our courses are structured and systematic; and hosted by industry experts & research professionals. We use a mix of useful content and practical examples with plenty of hands-on exercises for effective learning. We teach you data management and analysis techniques. This will help you complete your mid-term assignments, thesis and projects during various internships. Additionally, it prepares you for bigger roles in the world of work.
What you will learn
- Learn to work with STATA
- Learn to import various non-stata format data
- Learn to manage data for exploratory analysis
- Learn to prepare data ready for further analysis
- Learn to create, replace, label and rename variables
- Learn to combine different stata files
- Learn to reshape data files
- Learn to append more rows across different index values
- Learn to perform descriptive analysis
- Learn to create basic visualizations
- Learn to perform regression analysis and remedial measures
Who this course is for?
- Whether you are a student or a working professional who aspire to become data analyst and solve pressing economics and business problems, and you have a story to tell but don’t know how to back your story with data?
- If you have never worked with STATA before and have no prior experience in handling real-time datasets.
- Anyone who wants to understand data and make the most out of it.
Prerequisites: None except basic computer literacy and a computer with internet access.
To discuss further about our courses or specific training requirements, feel free to connect with us : +91-011-4106-0303 / [email protected]
For complete course description, visit agenda tab above.
Statistical Software: STATA
Part I: Everything About Stata
1 Introduction
1.1 Stata workflow and Windows
1.2 Graphic style
1.3 Stata resources, documentation, help and Version info
1.4 Other online resources
1.5 Cheat sheet
1.6 Introduction to various stata format files
2 Getting Started: The First Steps
2.1 The graphical user interface (GUI)
2.2 Opening stata files
2.3 Importing non-Stata file formats
2.4 Entering data manually
2.5 Using preinstalled data
2.6 Saving and exporting data
2.7 The basic workflow
2.8 Do-files
2.9 Delimit and line breaks
Part II: Data Management and Visualisation
3 Data Preparation, Transformation and Management
3.1 Know your data: Different data formats
3.2 Variable labels and names
3.3 Labeling variable values
3.4 IDs, Primary keys and unique identifiers
3.5 Missing observations and codes
3.6 Generating new variables
3.7 Converting Between Numeric and String Formats
3.8 Creating New Categorical and Ordinal Variables
3.9 Other functions
3.10 The if/in qualifier
3.11 Altering and replacing variables
3.12 Cleaing observations and variables
3.13 Systematic data cleaning
3.14 Merging, Appending, collapsing and Reshaping datasets
3.15 Creating random data and random samples
Part III: Regression Analysis
4 Summary Statistics and Description of datasets
4.1 Summarizing datasets
4.2 Exploratory data analysis
4.3 Graphs and visualisation
4.4 Frequency tables
4.5 Summarizing information by categories
4.6 Editing, combining and exporting graphs
4.7 Correlations
4.8 Testing for normality
5 Regression analysis and Diagnostics
5.1 Introduction to Sampling Methods
5.2 Correlation Vs. Regression
5.3 Regression Analysis: Simple Linear and Multiple Regression
5.4 Anova and Ancova
5.5 Multicollinearity and solutions
5.6 Heteroscedasticity and solutions
Part IV: Capstone Project
Please Note: This is not an exhaustive list of topics covered. For more info, please reach out to us at [email protected]
| College/ University Students | Non-Profit/ Government Employees | Other Working Professionals | |
| Course Fee | INR 15,995 | INR 18,995 | INR 21,995 |
This course is for all those who are in pursuit of learning data skills, using applied tools and techniques; irrespective of their educational background.
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!
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).
Reserve your seat now!
Select options This product has multiple variants. The options may be chosen on the product page
Skills You will gain
- Essential Stata Commands
- Stata Workflow & Exploratory Data Analysis
- Data Management and Transformation
- Summary Statistics
- Econometric Analysis
- Linear Regression Model
- Multiple Regression Model
- Functional Forms
- Dummy Variable Analysis
- Diagnostic and Remedial Measures
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
Course Participation Statistics
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.