Data Analysis with Python and Pandas Video Training

Category Everything Else Career Development & Education Computer & Technical

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

See it on eBay →

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

Also popular in the category Everything Else → Career Development & Education → Computer & Technical