Bhuvanesh Pareek

Bhuvanesh Pareek
  • Visiting Scholar and Lecturer in Statistics

Contact Information

  • office Address:

    429 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Teaching

Past Courses

  • STAT405 - STAT COMPUTING WITH R

    The goal of this course is to introduce students to the R programming language and related eco-system. This course will provide a skill-set that is in demand in both the research and business environments. In addition, R is a platform that is used and required in other advanced classes taught at Wharton, so that this class will prepare students for these higher level classes and electives.

  • STAT471 - MODERN DATA MINING

    Modern Data Mining: Statistics or Data Science has been evolving rapidly to keep up with the modern world. While classical multiple regression and logistic regression technique continue to be the major tools we go beyond to include methods built on top of linear models such as LASSO and Ridge regression. Contemporary methods such as KNN (K nearest neighbor), Random Forest, Support Vector Machines, Principal Component Analyses (PCA), the bootstrap and others are also covered. Text mining especially through PCA is another topic of the course. While learning all the techniques, we keep in mind that our goal is to tackle real problems. Not only do we go through a large collection of interesting, challenging real-life data sets but we also learn how to use the free, powerful software "R" in connection with each of the methods exposed in the class.

  • STAT571 - MODERN DATA MINING

    Modern Data Mining: Statistics or Data Science has been evolving rapidly to keep up with the modern world. While classical multiple regression and logistic regression technique continue to be the major tools we go beyond to include methods built on top of linear models such as LASSO and Ridge regression. Contemporary methods such as KNN (K nearest neighbor), Random Forest, Support Vector Machines, Principal Component Analyses (PCA), the bootstrap and others are also covered. Text mining especially through PCA is another topic of the course. While learning all the techniques, we keep in mind that our goal is to tackle real problems. Not only do we go through a large collection of interesting, challenging real-life data sets but we also learn how to use the free, powerful software "R" in connection with each of the methods exposed in the class. Prerequisite: two courses at the statistics 400 or 500 level or permission from instructor.

  • STAT701 - MODERN DATA MINING

    Modern Data Mining: Statistics or Data Science has been evolving rapidly to keep up with the modern world. While classical multiple regression and logistic regression technique continue to be the major tools we go beyond to include methods built on top of linear models such as LASSO and Ridge regression. Contemporary methods such as KNN (K nearest neighbor), Random Forest, Support Vector Machines, Principal Component Analyses (PCA), the bootstrap and others are also covered. Text mining especially through PCA is another topic of the course. While learning all the techniques, we keep in mind that our goal is to tackle real problems. Not only do we go through a large collection of interesting, challenging real-life data sets but we also learn how to use the free, powerful software "R" in connection with each of the methods exposed in the class. Prerequisite: two courses at the statistics 400 or 500 level or permission from instructor.

  • STAT705 - STAT COMPUTING WITH R

    The goal of this course is to introduce students to the R programming language and related eco-system. This course will provide a skill-set that is in demand in both the research and business environments. In addition, R is a platform that is used and required in other advanced classes taught at Wharton, so that this class will prepare students for these higher level classes and electives.

Knowledge@Wharton

The Problem with Heroes

For any leader, the ongoing presence of heroes is both a cause for celebration and a reason for deep concern, because it indicates a failure of the wider system, writes Wharton’s Gregory P. Shea in this opinion piece.

Knowledge @ Wharton - 2020/05/29
The Politics of Pandemics: Why Some Countries Respond Better Than Others

Strong state capacity and low economic inequality are more important than being a democracy when it comes to dealing with health emergencies like pandemics, Wharton research shows.

Knowledge @ Wharton - 2020/05/26
Pulling Through the Pandemic: Advice for Entrepreneurs

Wharton’s Karl Ulrich offers guidance for entrepreneurs trying to make it to the other side of the coronavirus pandemic.

Knowledge @ Wharton - 2020/05/26