Difference between revisions of "Manipulating Financial Data in Python"

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#Saving and exporting data without pandas
 
#Saving and exporting data without pandas
  
==Week 3==
+
==Module 5==
===Module 5===
+
*Pre-processing Data
====Pre-processing Data====
+
*Statistical Functions for Analysis
====Statistical Functions for Analysis====
 
  
===Module 6: Date And Time===
+
==Module 6: Date And Time==
#Creating Date and Time
+
*Creating Date and Time
#Date Mathematics
+
*Date Mathematics
#Time Series Plotting
+
*Time Series Plotting
  
 
==Week 4==
 
==Week 4==

Revision as of 11:16, 3 March 2015

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

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

Module 5

  • Pre-processing Data
  • Statistical Functions for Analysis

Module 6: Date And Time

  • Creating Date and Time
  • Date Mathematics
  • Time Series Plotting

Week 4

Module 7: Graphs Part I

Module 8: Graphs Part II