[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

•  01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4  125.34 MB
•  05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4  82.28 MB
•  05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4  75.27 MB
•  10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4  63.15 MB
•  11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4  62.28 MB
•  09 - The GroupBy Object/002 First Operations with groupby Object.mp4  61.64 MB
•  04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4  60.72 MB
•  10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4  59.65 MB
•  01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4  59.24 MB
•  06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4  58.05 MB
•  11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4  56.29 MB
•  10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4  53.98 MB
•  05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4  53.7 MB
•  01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4  51.96 MB
•  01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4  51.78 MB
•  11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4  50 MB
•  04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4  49.79 MB
•  10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4  48.52 MB
•  07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4  47.89 MB
•  08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4  47.79 MB
•  01 - Installation and Setup/011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4  47.74 MB
•  10 - Merging, Joining, and Concatenating DataFrames/004 Inner Joins, Part 1.mp4  43.41 MB
•  04 - DataFrames I_ Introduction/015 Sort a DataFrame with the sort_values Method, Part I.mp4  43.29 MB
•  04 - DataFrames I_ Introduction/002 Shared Methods and Attributes between Series and DataFrames.mp4  42.53 MB
•  04 - DataFrames I_ Introduction/004 Select One Column from a DataFrame.mp4  42.2 MB
•  09 - The GroupBy Object/006 The .agg() Method.mp4  41.47 MB
•  01 - Installation and Setup/005 macOS - Install Anaconda Distribution.mp4  41.22 MB
•  14 - Options and Settings in pandas/002 Changing pandas Options with Attributes and Dot Syntax.mp4  40.81 MB
•  04 - DataFrames I_ Introduction/008 Add New Column to DataFrame.mp4  40.64 MB
•  02 - BONUS_ Python Crash Course/008 String Methods.mp4  40.14 MB
•  12 - Input and Output in pandas/006 Import Excel File into pandas with the read_excel Method.mp4  39.23 MB
•  07 - Working with Text Data/003 Use the str.replace method to replace all occurrences of character with another.mp4  38.91 MB
•  04 - DataFrames I_ Introduction/011 Drop DataFrame Rows with Null Values with the dropna Method.mp4  37.16 MB
•  12 - Input and Output in pandas/007 Export Excel File with the to_excel Method.mp4  36.88 MB
•  08 - MultiIndex/009 The .stack() Method.mp4  36.38 MB
•  07 - Working with Text Data/008 More Practice with the str.split method on a Series.mp4  36.36 MB
•  06 - DataFrames III_ Data Extraction/016 Create a Copy of a DataFrame with the copy Method.mp4  36.08 MB
•  07 - Working with Text Data/004 Filter a DataFrame's Rows with String Methods.mp4  36.08 MB
•  06 - DataFrames III_ Data Extraction/003 Retrieve Rows by Index Label with loc Accessor.mp4  34.39 MB
•  06 - DataFrames III_ Data Extraction/012 Filter A DataFrame with the where method.mp4  34.38 MB
•  09 - The GroupBy Object/007 Iterating through Groups.mp4  33.74 MB
•  06 - DataFrames III_ Data Extraction/013 Filter A DataFrame with the query method.mp4  33.05 MB
•  09 - The GroupBy Object/004 Methods on the Groupby Object and DataFrame Columns.mp4  33.03 MB
•  14 - Options and Settings in pandas/003 Changing pandas Options with Methods.mp4  32.99 MB
•  11 - Working with Dates and Times in Datasets/017 Timedeltas in a Dataset.mp4  32.94 MB
•  08 - MultiIndex/014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4  32.73 MB
•  11 - Working with Dates and Times in Datasets/015 Timeseries Offsets.mp4  32.43 MB
•  05 - DataFrames II_ Filtering Data/009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4  32.23 MB
•  11 - Working with Dates and Times in Datasets/012 Selecting Rows from a DataFrame with a DateTimeIndex.mp4  32.14 MB
•  04 - DataFrames I_ Introduction/009 Broadcasting Operations on DataFrames.mp4  31.24 MB