Difference between revisions of "Manipulating Financial Data in Python"
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(→Week 2) |
(→Week 3) |
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Line 24: | Line 24: | ||
#Saving and exporting data without 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 | |
==Week 4== | ==Week 4== |
Revision as of 11:16, 3 March 2015
Contents
Module 1: Numpy Fundamentals
- Creating Arrays
- Basic Indexing and Slicing
- 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