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Data is transforming business, social interactions, and the future of our society. In this program, you will learn how to use data and analytics to give an edge to your career and your life.We will examine real world examples of how analytics have been used to significantly improve a business or industry. We will be using R statistical software.

 

RSTA100: Fundamental statistical Thinking

Statistics is a versatile discipline that has revolutionized the fields of business, among others. This course covers topics in Descriptive Statistics. Spreadsheets containing real data from diverse areas such as economics finance and human resources drive much of our discussions.  

In Part 1, we shall be exploring multiple ways to describe these datasets, numerically as well as visually. Throughout, we shall embrace a problem-based approach to understanding the material: the primary reason to pick up a tool or a technique will be to solve a problem. Our course makes judicious use of tools. In Part 2, we shall take up a few datasets that have over a million rows, which makes it impossible to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. The courses incorporate helpful tutorials to get learners acquainted with both the mechanisms.

You will learn all these concepts with the help of various demonstrations, which show real-life application of the concepts related to business situations.

What you'll learn:

  • To analyze a dataset using spreadsheet software

  • To pose pertinent business questions of datasets and to answer them

  • To clean up a dataset and summarize the data using single point measures of centrality and dispersion

  • To classify variables by scale and aggregate them with pivot tables

  • To build an understanding of probability, joint and marginal probability, conditional probability

  • To apply Bayes rule to invert probabilities on a decision tree

  • To use spreadsheets to analyze larger datasets

  • To describe a random variable in probabilistic terms and derive parameters such as mean and variance

  • To draw a simple random sample from a population

  • To model business phenomena with known random variables such as Binomial, Poisson and Normal

  • To simulate variables that follow a prescribed distribution

 

RSTA200: Survey design and implementation

 

This course prepares professionals from the public and private sectors for careers in the survey research field. The program builds skills in:

  • sampling and designing surveys,

  • collecting and analyzing data, and

  • critically analyzing public opinion.

Graduates acquire expertise to manage the phases of the process in corporate, association or government agency settings. The course focuses on designing and pretesting questionnaires, sampling cases, collecting and compiling data, computing estimates and margins of error, writing reports and managing the survey process.

 

The course covers the following topics:

  • Questionnaire Design

  • Statistical Computing Package for Survey Research

  • Applied Sampling Techniques for Survey Research

  • Survey Management

 

RSTA300: Data Analytics

 

Data is transforming business, social interactions, and the future of our society. In this course you will learn how to use data and analytics to give an edge to your career and your life.We will examine real world examples of how analytics have been used to significantly improve a business or industry. By so doing, we will teach you the following analytics methods using R statistical software:

  • linear regression,

  • logistic/probit regression,

  • text analytics,

  • clustering,

  • visualization

  • optimization

 

RSTA900: Statistical analysis project

 

Under the guidance of the trainer, the student will develop and present a project involving statistical data analysis.

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