Difference between revisions of "Manipulating Financial Data in Python"
Jump to navigation
Jump to search
Line 31: | Line 31: | ||
====Statistical Functions for Analysis==== | ====Statistical Functions for Analysis==== | ||
− | ===Module 6=== | + | ===Module 6: Date And Time=== |
− | + | #Creating Date and Time | |
− | + | #Date Mathematics | |
+ | #Time Series Plotting | ||
==Week 4== | ==Week 4== |
Revision as of 17:27, 10 February 2015
Week 1
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
Week 2
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
Week 4
Module 7
Course overview and intro
Definition of autonomy (NASA Video)
Example of multi agent coordination (Harvard Video)
Drunken Sailor description
Module 8
Intro and discussion of ASCII Soccer
How does sensing affect necessity for diversity?