Difference between revisions of "Manipulating Financial Data in Python"

From Quantitative Analysis Software Courses
Jump to navigation Jump to search
Line 27: Line 27:
  
 
==Week 3==
 
==Week 3==
−
===Module 5===
+
===Module 6===
−
Course overview and intro<BR>
+
===Pre-processing Data===
−
Definition of autonomy (NASA Video)<BR>
+
===Statistical Functions for Analysis===
−
Example of multi agent coordination (Harvard Video)<BR>
 
−
Drunken Sailor description<BR>
 
  
 
===Module 6===
 
===Module 6===

Revision as of 17:24, 10 February 2015

Week 1

Module 1 : Numpy Fundamentals

  1. Creating Arrays
  2. Basic Indexing and Slicing
  3. Data Processing using Arrays

Module 2: Pandas DS- Series

  1. Working with index
  2. Operations
    1. Filtering
  3. Handling Incomplete Data

Week 2

Module 3: Pandas DS- Data Frame

  1. Creating Data frame
  2. Operations
    1. Columns and rows
  3. Essential Function
    1. Reindexing
    2. Indexing and Filtering

Module 4: Data Analysis- Reading/Writing Data

  1. Importing Data using Pandas
  2. Importing data without pandas
  3. Saving and exporting data using pandas
  4. Saving and exporting data without pandas

Week 3

Module 6

Pre-processing Data

Statistical Functions for Analysis

Module 6

Intro and discussion of ASCII Soccer
How does sensing affect necessity for diversity?

Week 4

Module 7

Course overview and intro
Definition of autonomy (NASA Video)
Example of multi agent coordination (Harvard Video)
Drunken Sailor description

Module 8

Intro and discussion of ASCII Soccer
How does sensing affect necessity for diversity?

Retrieved from "http://quantsoftware.gatech.edu/index.php?title=Manipulating_Financial_Data_in_Python&oldid=25"