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Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Statistics is a highly interdisciplinary field; research in statistics finds applicability in virtually all scientific fields and research questions in the various scientific fields motivate the development of new statistical methods and theory. In developing methods and studying the theory that underlies the methods statisticians draw on a variety of mathematical and computational tools.
Two fundamental ideas in the field of statistics are uncertainty and variation. There are many situations that we encounter in science (or more generally in life) in which the outcome is uncertain. In some cases the uncertainty is because the outcome in question is not determined yet (e.g., we may not know whether it will rain tomorrow) while in other cases the uncertainty is because although the outcome has been determined already we are not aware of it (e.g., we may not know whether we passed a particular exam).
Probability is a mathematical language used to discuss uncertain events and probability plays a key role in statistics. Any measurement or data collection effort is subject to a number of sources of variation. By this we mean that if the same measurement were repeated, then the answer would likely change. Statisticians attempt to understand and control (where possible) the sources of variation in any situation.
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as “all people living in a country” or “every atom composing a crystal”. Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. See glossary of probability and statistics.
When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An
|∅ Descriptive Statistics|
|∅ Simulating Business Situations|
|∅ Random Variables|
|∅ The Binomial and Poisson Distributions|
|∅ The Normal Distribution|
|∅ Sampling Distributions and Estimators|
|∅ The Central Limit Theorem|
|∅ Confidence Intervals|
|∅ Confidence Intervals for Other Parameters|
|∅ Hypothesis Testing|
|∅ Simple Linear Regression|
|∅ The Validity and Usefulness of a Regression|
|∅ Multiple linear Regression with live examples|
|∅ Logistic Regression with examples|
|∅ Basics of Model Building, Basics of Business Forecasting, Univariate Statistics, Bivariate Statistics|
|∅ Factor Analysis|
|∅ Principle Component Analysis|
|∅ Cluster Analysis|
|∅ Concepts of CHAID and Decision Tress|
|∅ Multivariate Econometric Modeling, Multicolinearity, Serial Correlation, Heteroskedasticity, DG Test, Dummy Variable Econometric Modeling.|
|∅ Panel Data Modeling with examples|
|∅ Overview on What Statistical Analysis should I use for a Business problem?|
|∅ Predictive Analysis|
|∅ Credit card Analysis|
|∅ Market Research Analysis|
Course Batch Timings
Mon-Fri ( WEEKDAYS)
08:00 AM-09:00 AM
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Live Instructor Led Course
30-40 hours of Class room or Online Live Instructor-led Classes conducting by industry domain specific professionals with lab support. Weekday class: 20 sessions of 2 hours each. and Weekend class: 14 sessions (7 weekends) of 3 hours each.
Live project or Real-life Case Studies
Live project based on any of the selected use cases, involving STATISTICS.
Each class will be followed by practical assignments and interview questions which can be completed before the next class.
24 x 7 Expert Support
We have 24x7 offline and online support team available to help you with any technical queries you may have during the course or After the course.
Yes, you have batch flexibility here. Once you join in Stansys you can attend classes in any batch or N number of batches within 1 year with same faculty.
Yes, we will provide you the certificate of the attended software training course or to download (Certificate.pdf) soft copy version to their personal e-mail id (Who is attended training with us).
1 Year validity
You get 1-year validity for live classes (classroom/online) and lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.
Money back guarantee
You can cancel your enrolment within 7 working days. We provide you complete refund after deducting the administration fee(Rs.500/-).
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