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

📅 2021-12-03 07:23:16 📦 4.17GB 🔥 0

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01 - Installation and Setup,001 Introduction to Data Analysis with Pandas and Python.mp4 125.34MB

01 - Installation and Setup,001 Introduction to Data Analysis with Pandas and Python__en.srt 19.55KB

01 - Installation and Setup,002 About Me.mp4 5.99MB

01 - Installation and Setup,002 About Me__en.srt 1.69KB

01 - Installation and Setup,003 Completed Course Files.html 1.02KB

01 - Installation and Setup,004 macOS - Download the Anaconda Distribution, our Python development environment.mp4 9.82MB

01 - Installation and Setup,004 macOS - Download the Anaconda Distribution, our Python development environment__en.srt 7.11KB

01 - Installation and Setup,005 macOS - Install Anaconda Distribution.mp4 41.22MB

01 - Installation and Setup,005 macOS - Install Anaconda Distribution__en.srt 12.75KB

01 - Installation and Setup,006 macOS - Access the Terminal Application.mp4 51.78MB

01 - Installation and Setup,006 macOS - Access the Terminal Application__en.srt 14.53KB

01 - Installation and Setup,007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 59.24MB

01 - Installation and Setup,007 macOS - Create conda Environment and Install pandas and Jupyter Notebook__en.srt 22.10KB

01 - Installation and Setup,008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 51.96MB

01 - Installation and Setup,008 macOS - Unpack Course Materials + The Start and Shutdown Process__en.srt 22.32KB

01 - Installation and Setup,009 Windows - Download the Anaconda Distribution.mp4 10.19MB

01 - Installation and Setup,009 Windows - Download the Anaconda Distribution__en.srt 7.51KB

01 - Installation and Setup,010 Windows - Install Anaconda Distribution.mp4 16.31MB

01 - Installation and Setup,010 Windows - Install Anaconda Distribution__en.srt 10.33KB

01 - Installation and Setup,011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 47.74MB

01 - Installation and Setup,011 Windows - Create conda Environment and Install pandas and Jupyter Notebook__en.srt 30.65KB

01 - Installation and Setup,012 Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 27.14MB

01 - Installation and Setup,012 Windows - Unpack Course Materials + The Startdown and Shutdown Process__en.srt 22.00KB

01 - Installation and Setup,013 Intro to the Jupyter Notebook Interface.mp4 16.26MB

01 - Installation and Setup,013 Intro to the Jupyter Notebook Interface__en.srt 15.80KB

01 - Installation and Setup,014 Cell Types and Cell Modes in Jupyter Notebook.mp4 10.48MB

01 - Installation and Setup,014 Cell Types and Cell Modes in Jupyter Notebook__en.srt 11.05KB

01 - Installation and Setup,015 Code Cell Execution in Jupyter Notebook.mp4 4.67MB

01 - Installation and Setup,015 Code Cell Execution in Jupyter Notebook__en.srt 4.53KB

01 - Installation and Setup,016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4 8.11MB

01 - Installation and Setup,016 Popular Keyboard Shortcuts in Jupyter Notebook__en.srt 5.59KB

01 - Installation and Setup,017 Import Libraries into Jupyter Notebook.mp4 14.47MB

01 - Installation and Setup,017 Import Libraries into Jupyter Notebook__en.srt 13.01KB

01 - Installation and Setup,018 Troubleshooting Issues with Jupyter Notebook.html 420.00Bytes

01 - Installation and Setup,21929926-pandas.zip 684.75KB

01 - Installation and Setup,23001890-pandas.zip 686.24KB

01 - Installation and Setup,24889460-notebooks.zip 279.85KB

01 - Installation and Setup,7040216-pandas.zip 684.75KB

01 - Installation and Setup,external-assets-links.txt 209.00Bytes

02 - BONUS_ Python Crash Course,001 Intro to the Python Crash Course.mp4 7.59MB

02 - BONUS_ Python Crash Course,001 Intro to the Python Crash Course__en.srt 5.99KB

02 - BONUS_ Python Crash Course,002 Comments.mp4 4.10MB

02 - BONUS_ Python Crash Course,002 Comments__en.srt 5.08KB

02 - BONUS_ Python Crash Course,003 Basic Data Types.mp4 18.21MB

02 - BONUS_ Python Crash Course,003 Basic Data Types__en.srt 16.87KB

02 - BONUS_ Python Crash Course,004 Operators.mp4 28.00MB

02 - BONUS_ Python Crash Course,004 Operators__en.srt 24.32KB

02 - BONUS_ Python Crash Course,005 Variables.mp4 13.29MB

02 - BONUS_ Python Crash Course,005 Variables__en.srt 12.74KB

02 - BONUS_ Python Crash Course,006 Built-in Functions.mp4 18.32MB

02 - BONUS_ Python Crash Course,006 Built-in Functions__en.srt 16.93KB

02 - BONUS_ Python Crash Course,007 Custom Functions.mp4 30.91MB

02 - BONUS_ Python Crash Course,007 Custom Functions__en.srt 26.01KB

02 - BONUS_ Python Crash Course,008 String Methods.mp4 40.14MB

02 - BONUS_ Python Crash Course,008 String Methods__en.srt 31.96KB

02 - BONUS_ Python Crash Course,009 Lists.mp4 28.38MB

02 - BONUS_ Python Crash Course,009 Lists__en.srt 20.46KB

02 - BONUS_ Python Crash Course,010 Index Positions and Slicing.mp4 30.01MB

02 - BONUS_ Python Crash Course,010 Index Positions and Slicing__en.srt 23.62KB

02 - BONUS_ Python Crash Course,011 Dictionaries.mp4 29.06MB

02 - BONUS_ Python Crash Course,011 Dictionaries__en.srt 23.94KB

03 - Series,001 Create Jupyter Notebook for the Series Module.mp4 2.95MB

03 - Series,001 Create Jupyter Notebook for the Series Module__en.srt 3.52KB

03 - Series,002 Create A Series Object from a Python List.mp4 22.59MB

03 - Series,002 Create A Series Object from a Python List__en.srt 17.11KB

03 - Series,003 Create A Series Object from a Python Dictionary.mp4 6.53MB

03 - Series,003 Create A Series Object from a Python Dictionary__en.srt 4.48KB

03 - Series,004 Coding Exercise SOLUTION_ Create a Series Object.html 905.00Bytes

03 - Series,005 Intro to Attributes on a Series Object.mp4 18.87MB

03 - Series,005 Intro to Attributes on a Series Object__en.srt 11.66KB

03 - Series,006 Intro to Methods on a Series Object.mp4 9.53MB

03 - Series,006 Intro to Methods on a Series Object__en.srt 7.71KB

03 - Series,007 Parameters and Arguments.mp4 29.70MB

03 - Series,007 Parameters and Arguments__en.srt 15.06KB

03 - Series,008 Create Series from Dataset with the pd.read_csv Method.mp4 29.41MB

03 - Series,008 Create Series from Dataset with the pd.read_csv Method__en.srt 23.64KB

03 - Series,009 Coding Exercise SOLUTION_ Import Series with the read_csv Function.html 663.00Bytes

03 - Series,010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4 8.55MB

03 - Series,010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset__en.srt 5.34KB

03 - Series,011 Passing pandas Objects to Python Built-In Functions.mp4 12.15MB

03 - Series,011 Passing pandas Objects to Python Built-In Functions__en.srt 7.83KB

03 - Series,012 Accessing More Series Attributes.mp4 25.61MB

03 - Series,012 Accessing More Series Attributes__en.srt 9.21KB

03 - Series,013 Use the sort_values method to sort a Series in ascending or descending order.mp4 28.49MB

03 - Series,013 Use the sort_values method to sort a Series in ascending or descending order__en.srt 9.34KB

03 - Series,014 Use the inplace Parameter to permanently mutate a pandas data structure.mp4 14.34MB

03 - Series,014 Use the inplace Parameter to permanently mutate a pandas data structure__en.srt 8.37KB

03 - Series,015 Use the sort_index Method to Sort the Index of a pandas Series object.mp4 11.23MB

03 - Series,015 Use the sort_index Method to Sort the Index of a pandas Series object__en.srt 7.10KB

03 - Series,016 Coding Exercise SOLUTION_ The sort_values and sort_index Methods.html 1.15KB

03 - Series,017 Use Python's in Keyword to Check for Inclusion in Series values or index.mp4 9.20MB

03 - Series,017 Use Python's in Keyword to Check for Inclusion in Series values or index__en.srt 5.81KB

03 - Series,018 Extract Series Values by Index Positiox.mp4 23.50MB

03 - Series,018 Extract Series Values by Index Positiox__en.srt 6.49KB

03 - Series,019 Extract Series Values by Index Label.mp4 22.10MB

03 - Series,019 Extract Series Values by Index Label__en.srt 15.83KB

03 - Series,020 Coding Exercise SOLUTION_ Extract Series Values by Index Position or Index Label.html 928.00Bytes

03 - Series,021 Use the get Method to Retrieve a Value for an index label in a Series.mp4 20.63MB

03 - Series,021 Use the get Method to Retrieve a Value for an index label in a Series__en.srt 14.21KB

03 - Series,022 Math Methods on Series Objects.mp4 15.28MB

03 - Series,022 Math Methods on Series Objects__en.srt 8.02KB

03 - Series,023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4 8.78MB

03 - Series,023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value__en.srt 4.48KB

03 - Series,024 Use the value_counts Method to See Counts of Unique Values within a Series.mp4 8.18MB

03 - Series,024 Use the value_counts Method to See Counts of Unique Values within a Series__en.srt 5.32KB

03 - Series,025 Use the apply Method to Invoke a Function on Every Series Values.mp4 18.33MB

03 - Series,025 Use the apply Method to Invoke a Function on Every Series Values__en.srt 10.01KB

03 - Series,026 The Series#map Method.mp4 22.63MB

03 - Series,026 The Series#map Method__en.srt 9.84KB

03 - Series,external-assets-links.txt 692.00Bytes

04 - DataFrames I_ Introduction,001 Intro to DataFrames I Module.mp4 49.79MB

04 - DataFrames I_ Introduction,001 Intro to DataFrames I Module__en.srt 15.15KB

04 - DataFrames I_ Introduction,002 Shared Methods and Attributes between Series and DataFrames.mp4 42.53MB

04 - DataFrames I_ Introduction,002 Shared Methods and Attributes between Series and DataFrames__en.srt 21.83KB

04 - DataFrames I_ Introduction,003 Differences between Shared Methods.mp4 27.01MB

04 - DataFrames I_ Introduction,003 Differences between Shared Methods__en.srt 10.05KB

04 - DataFrames I_ Introduction,004 Select One Column from a DataFrame.mp4 42.20MB

04 - DataFrames I_ Introduction,004 Select One Column from a DataFrame__en.srt 12.22KB

04 - DataFrames I_ Introduction,005 Coding Exercise SOLUTION_ Select One Column from a DataFrame.html 573.00Bytes

04 - DataFrames I_ Introduction,006 Select Two or More Columns from a DataFrame.mp4 13.01MB

04 - DataFrames I_ Introduction,006 Select Two or More Columns from a DataFrame__en.srt 8.44KB

04 - DataFrames I_ Introduction,007 Coding Exercise SOLUTION_ Select Two or More Columns from a DataFrame.html 802.00Bytes

04 - DataFrames I_ Introduction,008 Add New Column to DataFrame.mp4 40.64MB

04 - DataFrames I_ Introduction,008 Add New Column to DataFrame__en.srt 12.15KB

04 - DataFrames I_ Introduction,009 Broadcasting Operations on DataFrames.mp4 31.24MB

04 - DataFrames I_ Introduction,009 Broadcasting Operations on DataFrames__en.srt 13.95KB

04 - DataFrames I_ Introduction,010 A Review of the value_counts Method.mp4 7.95MB

04 - DataFrames I_ Introduction,010 A Review of the value_counts Method__en.srt 6.12KB

04 - DataFrames I_ Introduction,011 Drop DataFrame Rows with Null Values with the dropna Method.mp4 37.16MB

04 - DataFrames I_ Introduction,011 Drop DataFrame Rows with Null Values with the dropna Method__en.srt 9.91KB

04 - DataFrames I_ Introduction,012 Coding Exercise SOLUTION_ Delete DataFrame Rows with Missing Values.html 489.00Bytes

04 - DataFrames I_ Introduction,013 Fill in Null DataFrame Values with the fillna Method.mp4 14.77MB

04 - DataFrames I_ Introduction,013 Fill in Null DataFrame Values with the fillna Method__en.srt 7.09KB

04 - DataFrames I_ Introduction,014 Convert DataFrame Column Types with the astype Method.mp4 60.72MB

04 - DataFrames I_ Introduction,014 Convert DataFrame Column Types with the astype Method__en.srt 16.11KB

04 - DataFrames I_ Introduction,015 Sort a DataFrame with the sort_values Method, Part I.mp4 43.29MB

04 - DataFrames I_ Introduction,015 Sort a DataFrame with the sort_values Method, Part I__en.srt 8.45KB

04 - DataFrames I_ Introduction,016 Sort a DataFrame with the sort_values Method, Part II.mp4 17.16MB

04 - DataFrames I_ Introduction,016 Sort a DataFrame with the sort_values Method, Part II__en.srt 6.33KB

04 - DataFrames I_ Introduction,017 Coding Exercise SOLUTION_ The sort_values Method on a DataFrame.html 1.01KB

04 - DataFrames I_ Introduction,018 Sort DataFrame Indexwith the sort_index Method.mp4 18.70MB

04 - DataFrames I_ Introduction,018 Sort DataFrame Indexwith the sort_index Method__en.srt 4.15KB

04 - DataFrames I_ Introduction,019 Rank Series Values with the rank Method.mp4 21.78MB

04 - DataFrames I_ Introduction,019 Rank Series Values with the rank Method__en.srt 8.71KB

04 - DataFrames I_ Introduction,external-assets-links.txt 117.00Bytes

05 - DataFrames II_ Filtering Data,001 This Module's Dataset + Memory Optimization.mp4 75.27MB

05 - DataFrames II_ Filtering Data,001 This Module's Dataset + Memory Optimization__en.srt 25.41KB

05 - DataFrames II_ Filtering Data,002 Filter a DataFrame Based on A Condition.mp4 82.28MB

05 - DataFrames II_ Filtering Data,002 Filter a DataFrame Based on A Condition__en.srt 19.32KB

05 - DataFrames II_ Filtering Data,003 Filter DataFrame with More than One Condition (AND - &).mp4 14.76MB

05 - DataFrames II_ Filtering Data,003 Filter DataFrame with More than One Condition (AND - &)__en.srt 6.57KB

05 - DataFrames II_ Filtering Data,004 Filter DataFrame with More than One Condition (OR - _).mp4 27.47MB

05 - DataFrames II_ Filtering Data,004 Filter DataFrame with More than One Condition (OR - _)__en.srt 12.66KB

05 - DataFrames II_ Filtering Data,005 Check for Inclusion with the isin Method.mp4 20.56MB

05 - DataFrames II_ Filtering Data,005 Check for Inclusion with the isin Method__en.srt 9.72KB

05 - DataFrames II_ Filtering Data,006 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4 18.75MB

05 - DataFrames II_ Filtering Data,006 Check for Null and Present DataFrame Values with the isnull and notnull Methods__en.srt 8.48KB

05 - DataFrames II_ Filtering Data,007 Check For Inclusion Within a Range of Values with the between Method.mp4 26.54MB

05 - DataFrames II_ Filtering Data,007 Check For Inclusion Within a Range of Values with the between Method__en.srt 11.06KB

05 - DataFrames II_ Filtering Data,008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 53.70MB

05 - DataFrames II_ Filtering Data,008 Check for Duplicate DataFrame Rows with the duplicated Method__en.srt 13.94KB

05 - DataFrames II_ Filtering Data,009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4 32.23MB

05 - DataFrames II_ Filtering Data,009 Delete Duplicate DataFrame Rows with the drop_duplicates Method__en.srt 12.49KB

05 - DataFrames II_ Filtering Data,010 Identify and Count Unique Values with the unique and nunique Methods.mp4 7.56MB

05 - DataFrames II_ Filtering Data,010 Identify and Count Unique Values with the unique and nunique Methods__en.srt 6.54KB

05 - DataFrames II_ Filtering Data,external-assets-links.txt 464.00Bytes

06 - DataFrames III_ Data Extraction,001 Intro to the DataFrames III Module + Import Dataset.mp4 12.48MB

06 - DataFrames III_ Data Extraction,001 Intro to the DataFrames III Module + Import Dataset__en.srt 7.49KB

06 - DataFrames III_ Data Extraction,002 Use the set_index and reset_index methods to define a new DataFrame index.mp4 17.59MB

06 - DataFrames III_ Data Extraction,002 Use the set_index and reset_index methods to define a new DataFrame index__en.srt 11.17KB

06 - DataFrames III_ Data Extraction,003 Retrieve Rows by Index Label with loc Accessor.mp4 34.39MB

06 - DataFrames III_ Data Extraction,003 Retrieve Rows by Index Label with loc Accessor__en.srt 19.41KB

06 - DataFrames III_ Data Extraction,004 Retrieve Rows by Index Position with iloc Accessor.mp4 17.18MB

06 - DataFrames III_ Data Extraction,004 Retrieve Rows by Index Position with iloc Accessor__en.srt 10.64KB

06 - DataFrames III_ Data Extraction,005 Passing second arguments to the loc and iloc Accessors.mp4 25.65MB

06 - DataFrames III_ Data Extraction,005 Passing second arguments to the loc and iloc Accessors__en.srt 12.61KB

06 - DataFrames III_ Data Extraction,006 Set New Value for a Specific Cell or Cells In a Row.mp4 6.52MB

06 - DataFrames III_ Data Extraction,006 Set New Value for a Specific Cell or Cells In a Row__en.srt 7.21KB

06 - DataFrames III_ Data Extraction,007 Set Multiple Values in a DataFrame.mp4 16.11MB

06 - DataFrames III_ Data Extraction,007 Set Multiple Values in a DataFrame__en.srt 9.45KB

06 - DataFrames III_ Data Extraction,008 Rename Index Labels or Columns in a DataFrame.mp4 58.05MB

06 - DataFrames III_ Data Extraction,008 Rename Index Labels or Columns in a DataFrame__en.srt 14.33KB

06 - DataFrames III_ Data Extraction,009 Delete Rows or Columns from a DataFrame.mp4 29.04MB

06 - DataFrames III_ Data Extraction,009 Delete Rows or Columns from a DataFrame__en.srt 11.19KB

06 - DataFrames III_ Data Extraction,010 Create Random Sample with the sample Method.mp4 12.35MB

06 - DataFrames III_ Data Extraction,010 Create Random Sample with the sample Method__en.srt 6.95KB

06 - DataFrames III_ Data Extraction,011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values.mp4 28.30MB

06 - DataFrames III_ Data Extraction,011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values__en.srt 7.90KB

06 - DataFrames III_ Data Extraction,012 Filter A DataFrame with the where method.mp4 34.38MB

06 - DataFrames III_ Data Extraction,012 Filter A DataFrame with the where method__en.srt 7.42KB

06 - DataFrames III_ Data Extraction,013 Filter A DataFrame with the query method.mp4 33.05MB

06 - DataFrames III_ Data Extraction,013 Filter A DataFrame with the query method__en.srt 12.92KB

06 - DataFrames III_ Data Extraction,014 A Review of the apply Method on a pandas Series Object.mp4 18.63MB

06 - DataFrames III_ Data Extraction,014 A Review of the apply Method on a pandas Series Object__en.srt 8.47KB

06 - DataFrames III_ Data Extraction,015 Apply a Function to every DataFrame Row with the apply Method.mp4 17.18MB

06 - DataFrames III_ Data Extraction,015 Apply a Function to every DataFrame Row with the apply Method__en.srt 9.83KB

06 - DataFrames III_ Data Extraction,016 Create a Copy of a DataFrame with the copy Method.mp4 36.08MB

06 - DataFrames III_ Data Extraction,016 Create a Copy of a DataFrame with the copy Method__en.srt 10.07KB

06 - DataFrames III_ Data Extraction,external-assets-links.txt 1.31KB

07 - Working with Text Data,001 Intro to the Working with Text Data Section.mp4 14.41MB

07 - Working with Text Data,001 Intro to the Working with Text Data Section__en.srt 9.21KB

07 - Working with Text Data,002 Common String Methods - lower, upper, title, and len.mp4 47.89MB

07 - Working with Text Data,002 Common String Methods - lower, upper, title, and len__en.srt 10.39KB

07 - Working with Text Data,003 Use the str.replace method to replace all occurrences of character with another.mp4 38.91MB

07 - Working with Text Data,003 Use the str.replace method to replace all occurrences of character with another__en.srt 12.32KB

07 - Working with Text Data,004 Filter a DataFrame's Rows with String Methods.mp4 36.08MB

07 - Working with Text Data,004 Filter a DataFrame's Rows with String Methods__en.srt 9.94KB

07 - Working with Text Data,005 More DataFrame String Methods - strip, lstrip, and rstrip.mp4 7.89MB

07 - Working with Text Data,005 More DataFrame String Methods - strip, lstrip, and rstrip__en.srt 6.51KB

07 - Working with Text Data,006 Invoke String Methods on DataFrame Index and Columns.mp4 14.58MB

07 - Working with Text Data,006 Invoke String Methods on DataFrame Index and Columns__en.srt 7.87KB

07 - Working with Text Data,007 Split Strings by Characters with the str.split Method.mp4 28.23MB

07 - Working with Text Data,007 Split Strings by Characters with the str.split Method__en.srt 12.75KB

07 - Working with Text Data,008 More Practice with the str.split method on a Series.mp4 36.36MB

07 - Working with Text Data,008 More Practice with the str.split method on a Series__en.srt 8.69KB

07 - Working with Text Data,009 Exploring the expand and n Parameters of the str.split Method.mp4 27.64MB

07 - Working with Text Data,009 Exploring the expand and n Parameters of the str.split Method__en.srt 10.26KB

07 - Working with Text Data,external-assets-links.txt 971.00Bytes

08 - MultiIndex,001 Intro to the MultiIndex Module.mp4 9.84MB

08 - MultiIndex,001 Intro to the MultiIndex Module__en.srt 7.45KB

08 - MultiIndex,002 Create a MultiIndex on a DataFrame with the set_index Method.mp4 22.14MB

08 - MultiIndex,002 Create a MultiIndex on a DataFrame with the set_index Method__en.srt 15.08KB

08 - MultiIndex,003 Extract Index Level Values with the get_level_values Method.mp4 9.89MB

08 - MultiIndex,003 Extract Index Level Values with the get_level_values Method__en.srt 6.39KB

08 - MultiIndex,004 Change Index Level Name with the set_names Method.mp4 9.09MB

08 - MultiIndex,004 Change Index Level Name with the set_names Method__en.srt 5.95KB

08 - MultiIndex,005 The sort_index Method on a MultiIndex DataFrame.mp4 16.77MB

08 - MultiIndex,005 The sort_index Method on a MultiIndex DataFrame__en.srt 12.43KB

08 - MultiIndex,006 Extract Rows from a MultiIndex DataFrame.mp4 22.80MB

08 - MultiIndex,006 Extract Rows from a MultiIndex DataFrame__en.srt 16.60KB

08 - MultiIndex,007 The transpose Method on a MultiIndex DataFrame.mp4 17.97MB

08 - MultiIndex,007 The transpose Method on a MultiIndex DataFrame__en.srt 12.45KB

08 - MultiIndex,008 The .swaplevel() Method.mp4 4.88MB

08 - MultiIndex,008 The .swaplevel() Method__en.srt 5.33KB

08 - MultiIndex,009 The .stack() Method.mp4 36.38MB

08 - MultiIndex,009 The .stack() Method__en.srt 10.14KB

08 - MultiIndex,010 The .unstack() Method, Part 1.mp4 11.42MB

08 - MultiIndex,010 The .unstack() Method, Part 1__en.srt 5.94KB

08 - MultiIndex,011 The .unstack() Method, Part 2.mp4 31.22MB

08 - MultiIndex,011 The .unstack() Method, Part 2__en.srt 9.82KB

08 - MultiIndex,012 The .unstack() Method, Part 3.mp4 27.27MB

08 - MultiIndex,012 The .unstack() Method, Part 3__en.srt 8.36KB

08 - MultiIndex,013 The pivot Method.mp4 15.72MB

08 - MultiIndex,013 The pivot Method__en.srt 11.46KB

08 - MultiIndex,014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4 32.73MB

08 - MultiIndex,014 Use the pivot_table method to create an aggregate summary of a DataFrame__en.srt 17.04KB

08 - MultiIndex,015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 47.79MB

08 - MultiIndex,015 Use the pd.melt method to create a narrow dataset from a wide one__en.srt 9.47KB

08 - MultiIndex,external-assets-links.txt 1.32KB

09 - The GroupBy Object,001 Intro to the Groupby Module.mp4 23.13MB

09 - The GroupBy Object,001 Intro to the Groupby Module__en.srt 12.47KB

09 - The GroupBy Object,002 First Operations with groupby Object.mp4 61.64MB

09 - The GroupBy Object,002 First Operations with groupby Object__en.srt 14.47KB

09 - The GroupBy Object,003 Retrieve a group from a GroupBy object with the get_group Method.mp4 9.18MB

09 - The GroupBy Object,003 Retrieve a group from a GroupBy object with the get_group Method__en.srt 5.57KB

09 - The GroupBy Object,004 Methods on the Groupby Object and DataFrame Columns.mp4 33.03MB

09 - The GroupBy Object,004 Methods on the Groupby Object and DataFrame Columns__en.srt 13.24KB

09 - The GroupBy Object,005 Grouping by Multiple Columns.mp4 24.47MB

09 - The GroupBy Object,005 Grouping by Multiple Columns__en.srt 6.79KB

09 - The GroupBy Object,006 The .agg() Method.mp4 41.47MB

09 - The GroupBy Object,006 The .agg() Method__en.srt 9.04KB

09 - The GroupBy Object,007 Iterating through Groups.mp4 33.74MB

09 - The GroupBy Object,007 Iterating through Groups__en.srt 13.12KB

10 - Merging, Joining, and Concatenating DataFrames,001 Intro to the Merging, Joining, and Concatenating Section.mp4 11.89MB

10 - Merging, Joining, and Concatenating DataFrames,001 Intro to the Merging, Joining, and Concatenating Section__en.srt 7.51KB

10 - Merging, Joining, and Concatenating DataFrames,002 The pd.concat Method, Part 1.mp4 10.48MB

10 - Merging, Joining, and Concatenating DataFrames,002 The pd.concat Method, Part 1__en.srt 8.16KB

10 - Merging, Joining, and Concatenating DataFrames,003 The pd.concat Method, Part 2.mp4 15.31MB

10 - Merging, Joining, and Concatenating DataFrames,003 The pd.concat Method, Part 2__en.srt 10.28KB

10 - Merging, Joining, and Concatenating DataFrames,004 Inner Joins, Part 1.mp4 43.41MB

10 - Merging, Joining, and Concatenating DataFrames,004 Inner Joins, Part 1__en.srt 15.04KB

10 - Merging, Joining, and Concatenating DataFrames,005 Inner Joins, Part 2.mp4 20.80MB

10 - Merging, Joining, and Concatenating DataFrames,005 Inner Joins, Part 2__en.srt 13.77KB

10 - Merging, Joining, and Concatenating DataFrames,006 Outer Joins.mp4 59.65MB

10 - Merging, Joining, and Concatenating DataFrames,006 Outer Joins__en.srt 18.57KB

10 - Merging, Joining, and Concatenating DataFrames,007 Left Joins.mp4 63.15MB

10 - Merging, Joining, and Concatenating DataFrames,007 Left Joins__en.srt 13.89KB

10 - Merging, Joining, and Concatenating DataFrames,008 The left_on and right_on Parameters.mp4 48.52MB

10 - Merging, Joining, and Concatenating DataFrames,008 The left_on and right_on Parameters__en.srt 14.00KB

10 - Merging, Joining, and Concatenating DataFrames,009 Merging by Indexes with the left_index and right_index Parameters.mp4 53.98MB

10 - Merging, Joining, and Concatenating DataFrames,009 Merging by Indexes with the left_index and right_index Parameters__en.srt 16.02KB

10 - Merging, Joining, and Concatenating DataFrames,010 The .join() Method.mp4 5.49MB

10 - Merging, Joining, and Concatenating DataFrames,010 The .join() Method__en.srt 4.60KB

10 - Merging, Joining, and Concatenating DataFrames,011 The pd.merge() Method.mp4 10.28MB

10 - Merging, Joining, and Concatenating DataFrames,011 The pd.merge() Method__en.srt 4.75KB

10 - Merging, Joining, and Concatenating DataFrames,external-assets-links.txt 468.00Bytes

11 - Working with Dates and Times in Datasets,001 Intro to the Working with Dates and Times Module.mp4 5.58MB

11 - Working with Dates and Times in Datasets,001 Intro to the Working with Dates and Times Module__en.srt 6.72KB

11 - Working with Dates and Times in Datasets,002 Review of Python's datetime Module.mp4 29.20MB

11 - Working with Dates and Times in Datasets,002 Review of Python's datetime Module__en.srt 14.34KB

11 - Working with Dates and Times in Datasets,003 The pandas Timestamp Object.mp4 17.40MB

11 - Working with Dates and Times in Datasets,003 The pandas Timestamp Object__en.srt 10.88KB

11 - Working with Dates and Times in Datasets,004 The pandas DateTimeIndex Object.mp4 13.06MB

11 - Working with Dates and Times in Datasets,004 The pandas DateTimeIndex Object__en.srt 7.55KB

11 - Working with Dates and Times in Datasets,005 The pd.to_datetime() Method.mp4 50.00MB

11 - Working with Dates and Times in Datasets,005 The pd.to_datetime() Method__en.srt 16.31KB

11 - Working with Dates and Times in Datasets,006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 62.28MB

11 - Working with Dates and Times in Datasets,006 Create Range of Dates with the pd.date_range() Method, Part 1__en.srt 17.45KB

11 - Working with Dates and Times in Datasets,007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 56.29MB

11 - Working with Dates and Times in Datasets,007 Create Range of Dates with the pd.date_range() Method, Part 2__en.srt 13.47KB

11 - Working with Dates and Times in Datasets,008 Create Range of Dates with the pd.date_range() Method, Part 3.mp4 25.69MB

11 - Working with Dates and Times in Datasets,008 Create Range of Dates with the pd.date_range() Method, Part 3__en.srt 11.55KB

11 - Working with Dates and Times in Datasets,009 The .dt Accessor.mp4 17.51MB

11 - Working with Dates and Times in Datasets,009 The .dt Accessor__en.srt 11.06KB

11 - Working with Dates and Times in Datasets,010 Install pandas-datareader Library.mp4 22.60MB

11 - Working with Dates and Times in Datasets,010 Install pandas-datareader Library__en.srt 5.82KB

11 - Working with Dates and Times in Datasets,011 Import Financial Data Set with pandas_datareader Library.mp4 19.23MB

11 - Working with Dates and Times in Datasets,011 Import Financial Data Set with pandas_datareader Library__en.srt 12.91KB

11 - Working with Dates and Times in Datasets,012 Selecting Rows from a DataFrame with a DateTimeIndex.mp4 32.14MB

11 - Working with Dates and Times in Datasets,012 Selecting Rows from a DataFrame with a DateTimeIndex__en.srt 17.70KB

11 - Working with Dates and Times in Datasets,013 Timestamp Object Attributes and Methods.mp4 28.30MB

11 - Working with Dates and Times in Datasets,013 Timestamp Object Attributes and Methods__en.srt 15.31KB

11 - Working with Dates and Times in Datasets,014 The pd.DateOffset Object.mp4 18.74MB

11 - Working with Dates and Times in Datasets,014 The pd.DateOffset Object__en.srt 10.71KB

11 - Working with Dates and Times in Datasets,015 Timeseries Offsets.mp4 32.43MB

11 - Working with Dates and Times in Datasets,015 Timeseries Offsets__en.srt 19.48KB

11 - Working with Dates and Times in Datasets,016 The Timedelta Object.mp4 17.06MB

11 - Working with Dates and Times in Datasets,016 The Timedelta Object__en.srt 12.99KB

11 - Working with Dates and Times in Datasets,017 Timedeltas in a Dataset.mp4 32.94MB

11 - Working with Dates and Times in Datasets,017 Timedeltas in a Dataset__en.srt 15.28KB

11 - Working with Dates and Times in Datasets,external-assets-links.txt 711.00Bytes

12 - Input and Output in pandas,001 Intro to the Input and Output Section.mp4 1.92MB

12 - Input and Output in pandas,001 Intro to the Input and Output Section__en.srt 2.08KB

12 - Input and Output in pandas,002 Pass a URL to the pd.read_csv Method.mp4 19.83MB

12 - Input and Output in pandas,002 Pass a URL to the pd.read_csv Method__en.srt 6.47KB

12 - Input and Output in pandas,003 Quick Object Conversions.mp4 21.65MB

12 - Input and Output in pandas,003 Quick Object Conversions__en.srt 10.93KB

12 - Input and Output in pandas,004 Export CSV File with the to_csv Method.mp4 24.83MB

12 - Input and Output in pandas,004 Export CSV File with the to_csv Method__en.srt 8.61KB

12 - Input and Output in pandas,005 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 11.39MB

12 - Input and Output in pandas,005 Install xlrd and openpyxl Libraries to Read and Write Excel Files__en.srt 6.50KB

12 - Input and Output in pandas,006 Import Excel File into pandas with the read_excel Method.mp4 39.23MB

12 - Input and Output in pandas,006 Import Excel File into pandas with the read_excel Method__en.srt 14.30KB

12 - Input and Output in pandas,007 Export Excel File with the to_excel Method.mp4 36.88MB

12 - Input and Output in pandas,007 Export Excel File with the to_excel Method__en.srt 11.98KB

12 - Input and Output in pandas,external-assets-links.txt 765.00Bytes

13 - Visualization,001 Intro to Visualization Section.mp4 6.27MB

13 - Visualization,001 Intro to Visualization Section__en.srt 7.91KB

13 - Visualization,002 Use the plot Method to Render a Line Chart.mp4 16.24MB

13 - Visualization,002 Use the plot Method to Render a Line Chart__en.srt 12.83KB

13 - Visualization,003 Modifying Plot Aesthetics with matplotlib Templates.mp4 13.80MB

13 - Visualization,003 Modifying Plot Aesthetics with matplotlib Templates__en.srt 7.49KB

13 - Visualization,004 Creating Bar Graphs to Show Counts.mp4 13.45MB

13 - Visualization,004 Creating Bar Graphs to Show Counts__en.srt 9.40KB

13 - Visualization,005 Creating Pie Charts to Represent Proportions.mp4 10.70MB

13 - Visualization,005 Creating Pie Charts to Represent Proportions__en.srt 7.32KB

13 - Visualization,external-assets-links.txt 400.00Bytes

14 - Options and Settings in pandas,001 Introduction to the Options and Settings Module.mp4 2.54MB

14 - Options and Settings in pandas,001 Introduction to the Options and Settings Module__en.srt 2.76KB

14 - Options and Settings in pandas,002 Changing pandas Options with Attributes and Dot Syntax.mp4 40.81MB

14 - Options and Settings in pandas,002 Changing pandas Options with Attributes and Dot Syntax__en.srt 12.12KB

14 - Options and Settings in pandas,003 Changing pandas Options with Methods.mp4 32.99MB

14 - Options and Settings in pandas,003 Changing pandas Options with Methods__en.srt 10.58KB

14 - Options and Settings in pandas,004 The precision Option.mp4 12.93MB

14 - Options and Settings in pandas,004 The precision Option__en.srt 5.11KB

15 - Conclusion,001 Conclusion.mp4 2.39MB

15 - Conclusion,001 Conclusion__en.srt 2.84KB

15 - Conclusion,002 Bonus_.html 2.02KB

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

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