Beyond Asset Management.  Knowledge Transfer.
Gender diversity among asset managers can be a powerful tool.  As a women owned and operated firm, we frequently hear people claiming now is the time to Mind the Gap.  We prefer to focus on the Mind

We are proud to take an important first step toward developing the next generation of brilliant women.  The "Ladies & Learning" initiative has been developed to help women reach their full potential and not settle for second best.

Clear Alternatives delivers on this commitment by hosting Ladies & Learning seminars that teach the quantitative and qualitative skills necessary for women to succeed in the competitive field of global finance. 


"First they ignore you, then they laugh at you, then they fight you, then you win."
-Mahatma Gandhi
Statistics, Probabilities, and The Beauty of R
Imagine being asked in a meeting what the chances are that a project is completed on time, or whether the return of a stock will be better or worse than the market, or how much money you’ll need in order for you to begin your golden days of retirement.  Questions like these are asked everyday in meetings that you might not be invited to… yet.


Mastering statistics will not only provide you with the knowledge necessary to answer these questions completely and accurately, statistics can also be your ticket for an invitation to strategic business meetings you may be missing out on now.

Prerequisites
This course is intended for those with no or little experience with statistics or the statistical software we will use throughout the course “R” which can be downloaded for free here: http://www.r-project.org/

Course Objective
Successful completion of this course will enable every lady to develop a working knowledge of statistics,
import to and export data from R, write programs and functions in R, conduct statistical analysis and graph data in R, and master specific queries using R.

What to Bring

1.  Your laptop computer with MS Excel, MS Powerpoint and R installed, if possible.  If you are struggling, we will walk through how to install it during class.
2.  A sandwich or light snack.  We will have a break, so bring something for yourself and others to share. 
3.  Your enthusiasm, problem-solving hat, and teamwork skills. 
4.  Your willingness to mentor someone and to be mentored by someone else in the course.  We will meet regularly in small groups as part of the program.

Dr. Susan Wang

Dr. Shuchu
n “Susan” Wang earned her PhD in Statistics from Georgia Institute of Technology.  Her passion for teaching and learning new disciplines has also resulted in her earning a MS in Civil Engineering, an MS in Statistics and a BS in Civil Engineering.

In addition to to her academic success, Dr. Wang worked as a quantitative research associate at Bank of America and most recently developed several multi-factor quantitative stock selection models for long only and long/short global equity strategies.

Topics Covered

       
  Part I: A Brief Introduction to R
   
    Introducing R
    Installing R
    Queries in R
    Working with R interactively
    Exercises

       
  Part II: Objects and Data Structures

    Learning variables and data types in R
    Learning vectors and matrices in R
    Learning arrays and data frames in R
    Learning to use lists in R
    Exercises

       
   Part III: Data Analysis in R
   
    Creating objects in R
    Accessing values of an object in R
    Reading data from files in R
    Working with data in R
    Writing data to files in R
    Exercises

       
   Part IV: Plots in R
   
    Creating plots in R
    Adding additional data to existing plots in R
    Graphing parameters in R
    Saving plots from R to a pdf file
    Exercises

        Part V: Programming in R
   
    Using grouped expressions
    Understanding the if statement
    Exploring the for loop and the while loop
    Writing programs in R
    Defining your own functions in R
    Exercises

       
  Part VI: Statistical Analysis in R

    Analyzing probability distributions in R
    Fitting statistical models using R
    Extracting results from model objects in R
    Exercises


Our courses are open to every lady who is ready, willing, and able to learn.  If you're ready to take the next step forward in your career, send us an email letting us know which courses or topics you are most interested in learning.

Classes fill up quickly, so register early.  Seats are assigned on a first come, first served basis. 

Register today by emailing us at:  Learning@Clear-Alternatives.com