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Data Analysis With Python And Pandas

Create dataframes using the Pandas add-on

Price : $10.00 $99.00
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The course begins with covering the fundamentals of Pandas (the library of data structures you'll be using) before delving into the most important functions you'll need for data analysis; creating and navigating data frames, indexing, visualizing, and so on. Next, you'll get into the more intricate operations run in conjunction with Pandas including data manipulation, logical categorizing, statistical functions and applications, and more. Missing data, combining data, working with databases, and advanced operations like resampling, correlation, mapping and buffering will also be covered.

 

    Rating 4.5 (50 Reviews)

  • Introduction to the Course
    • Course Introduction (4:11)
    • Getting Pandas and Fundamentals (9:08)
    • Section Conclusion (2:41)
  • Introduction to Pandas
    • Section introduction (0:48)
    • Creating and Navigating a Dataframe (8:34)
    • Slices, head and tail (7:59)
    • Indexing (7:27)
    • Visualizing The Data (9:19)
    • Converting To Python List Or Pandas Series (4:15)
    • Section Conclusion (1:38)
  • IO Tools
    • Section introduction (2:12)
    • Read Csv And To Csv (9:26)
    • io operations (5:23)
    • Read_hdf and to_hdf (8:25)
    • Read Json And To Json (9:54)
    • Read Pickle And To Pickle (11:41)
    • Section Conclusion (3:52)
  • Pandas Operations
    • Section introduction (2:04)
    • Column Manipulation (Operatings on columns, creating new ones) (7:27)
    • Column and Dataframe logical categorization (7:12)
    • Statistical Functions Against Data (7:34)
    • Moving and rolling statistics (10:00)
    • Rolling apply (8:54)
    • Section Outro (3:17)
  • Handling for Missing Data / Outliers
    • Section Intro (3:13)
    • drop na (6:48)
    • Filling Forward And Backward Na (11:09)
    • detecting outliers (12:38)
    • Section Conclusion (5:17)
  • Combining Dataframes
    • Section Introduction (3:53)
    • Concatenation (9:17)
    • Appending data frames (7:06)
    • Merging dataframes (9:43)
    • Joining dataframes (9:40)
    • Section Conclusion (4:29)
  • Advanced Operations
    • Section Introduction (2:48)
    • Basic Sorting (8:56)
    • Sorting by multiple rules (8:34)
    • Resampling basics time and how (mean, sum etc) (10:03)
    • Resampling to ohlc (7:12)
    • Correlation and Covariance Part 1 (10:03)
    • Correlation and Covariance Part 2 (11:56)
    • Mapping custom functions (9:23)
    • Graphing percent change of income groups (7:23)
    • Buffering basics (10:12)
    • Buffering Into And Out Of Hdf5 (10:03)
    • Section Conclusion (3:00)
  • Working with Databases
    • Section Introduction (1:00)
    • Writing to reading from database into a data frame (10:24)
    • Resampling data and preparing graph (7:54)
    • Finishing Manipulation And Graph (9:32)
    • Section and course Conclusion (5:27)