Difference between revisions of "Manipulating Financial Data in Python"
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#Handling Incomplete Data | #Handling Incomplete Data | ||
− | + | ==Module 3: Pandas DS- Data Frame== | |
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#Creating Data frame | #Creating Data frame | ||
#Operations | #Operations | ||
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## Indexing and Filtering | ## Indexing and Filtering | ||
− | + | ==Module 4: Data Analysis- Reading/Writing Data== | |
#Importing Data using Pandas | #Importing Data using Pandas | ||
#Importing data without pandas | #Importing data without pandas |
Revision as of 11:15, 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
Week 3
Module 5
Pre-processing Data
Statistical Functions for Analysis
Module 6: Date And Time
- Creating Date and Time
- Date Mathematics
- Time Series Plotting