Manipulating Financial Data in Python

From Quantitative Analysis Software Courses
Revision as of 12:17, 3 March 2015 by 3xdkyr (talk | contribs)
Jump to navigation Jump to search

Module 1: Numpy Fundamentals

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

Module 2: Pandas DS- Series

  • Working with index
  • Operations
  • Filtering
  • Handling Incomplete Data

Module 3: Pandas DS- Data Frame

  • Creating Data frame
  • Operations
  • Columns and rows
  • Essential Function
  • Reindexing
  • Indexing and Filtering

Module 4: Data Analysis- Reading/Writing Data

  • Importing Data using Pandas
  • Importing data without pandas
  • Saving and exporting data using pandas
  • 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

Module 7: Graphs Part I

Module 8: Graphs Part II