Manipulating Financial Data in Python

From Quantitative Analysis Software Courses
Revision as of 12:15, 3 March 2015 by 3xdkyr (talk | contribs) (→‎Week 2)
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

  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

Week 3

Module 5

Pre-processing Data

Statistical Functions for Analysis

Module 6: Date And Time

  1. Creating Date and Time
  2. Date Mathematics
  3. Time Series Plotting

Week 4

Module 7: Graphs Part I

Module 8: Graphs Part II