# Data Analysis with Python and Pandas Video Training

Category

Current price $5.00

Listing type Fixed Price Item

Location Saint Charles, Missouri 633** US

Quantity sold 0

Quantity available 1

Bids 0

Seller mondaytillsunday (403)

Seller rating 98.7% positive feedback

UPC Does not apply

Data Analysis with Python and Pandas

2015

5:56 hours

Section 1: Introduction to the Course

Lecture 1 Course Introduction 04:11

Lecture 2 Getting pandas and fundamentals 09:06

Section 2: Introduction to Pandas

Lecture 3 Section intro 00:48

Lecture 4 Creating and Navigating a Dataframe 08:34

Lecture 5 Slices, head and tail 07:59

Lecture 6 Indexing 07:27

Lecture 7 Visualizing The Data 09:19

Lecture 8 Converting To Python List Or Pandas Series 04:15

Lecture 9 Section Outro 01:38

Section 3: IO Tools

Lecture 10 Section intro 02:12

Lecture 11 Read Csv And To Csv 09:26

Lecture 12 io operations 05:23

Lecture 13 Read_hdf and to_hdf 08:25

Lecture 14 Read Json And To Json 09:54

Lecture 15 Read Pickle And To Pickle 11:39

Lecture 16 Section Outro 03:52

Section 4: Pandas Operations

Lecture 17 Section intro 02:04

Lecture 18 Column Manipulation (Operatings on columns, creating new ones) 07:27

Lecture 19 Column and Dataframe logical categorization 07:12

Lecture 20 Statistical Functions Against Data 07:34

Lecture 21 Moving and rolling statistics 10:00

Lecture 22 Rolling apply 08:54

Lecture 23 Section Outro 03:17

Section 5: Handling for Missing Data / Outliers

Lecture 24 Section Intro 03:13

Lecture 25 drop na 06:48

Lecture 26 Filling Forward And Backward Na 11:09

Lecture 27 detecting outliers 12:36

Lecture 28 Section Outro 05:17

Section 6: Combining Dataframes

Lecture 29 Section Intro 03:53

Lecture 30 Concatenation 09:15

Lecture 31 Appending data frames 07:06

Lecture 32 Merging dataframes 09:41

Lecture 33 Joining dataframes 09:40

Lecture 34 Section Outro 04:29

Section 7: Advanced Operations

Lecture 35 Section Intro 02:48

Lecture 36 Basic Sorting 08:56

Lecture 37 Sorting by multiple rules 08:32

Lecture 38 Resampling basics time and how (mean, sum etc) 10:03

Lecture 39 Resampling to ohlc 07:12

Lecture 40 Correlation and Covariance Part 1 10:03

Lecture 41 Correlation and Covariance Part 2 00:11

Lecture 42 Mapping custom functions 09:21

Lecture 43 Graphing percent change of income groups 07:23

Lecture 44 Buffering basics 10:12

Lecture 45 Buffering into and out of hdf5 10:01

Lecture 46 Section Outro 03:00

Section 8: Working with Databases

Lecture 47 Section Intro 01:00

Lecture 48 Writing to reading from database into a data frame 10:22

Lecture 49 Resampling data and preparing graph 07:54

Lecture 50 Finishing Manipulation And Graph 09:32

Lecture 51 Section and course outro 05:27

## Trustworthy seller

98.7% of buyers gave this seller positive feedback.