3.5 GB | 12min 14s | mp4 | 1280X720 | 1.6:1
Genre:eLearning |Language:English

Files Included :
001 Introduction to Data Analysis with Pandas and Python.mp4 (125.34 MB)
002 About Me.mp4 (5.99 MB)
004 macOS - Download the Anaconda Distribution, our Python development environment.mp4 (9.82 MB)
005 macOS - Install Anaconda Distribution.mp4 (41.22 MB)
006 macOS - Access the Terminal Application.mp4 (51.78 MB)
007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 (59.24 MB)
008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 (51.96 MB)
009 Windows - Download the Anaconda Distribution.mp4 (10.19 MB)
010 Windows - Install Anaconda Distribution.mp4 (16.31 MB)
011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 (47.74 MB)
012 Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 (27.14 MB)
013 Intro to the Jupyter Notebook Interface.mp4 (16.26 MB)
014 Cell Types and Cell Modes in Jupyter Notebook.mp4 (10.48 MB)
015 Code Cell Execution in Jupyter Notebook.mp4 (4.67 MB)
016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4 (8.11 MB)
017 Import Libraries into Jupyter Notebook.mp4 (14.47 MB)
21929926-pandas.zip (684.75 KB)
23001890-pandas.zip (686.24 KB)
24889460-notebooks.zip (279.85 KB)
7040216-pandas.zip (684.75 KB)
001 Intro to the Python Crash Course.mp4 (7.59 MB)
002 Comments.mp4 (4.1 MB)
003 Basic Data Types.mp4 (18.21 MB)
004 Operators.mp4 (28 MB)
005 Variables.mp4 (13.29 MB)
006 Built-in Functions.mp4 (18.32 MB)
007 Custom Functions.mp4 (30.91 MB)
008 String Methods.mp4 (40.14 MB)
009 Lists.mp4 (28.38 MB)
010 Index Positions and Slicing.mp4 (30.01 MB)
011 Dictionaries.mp4 (29.06 MB)
001 Create Jupyter Notebook for the Series Module.mp4 (2.95 MB)
002 Create A Series Object from a Python List.mp4 (22.59 MB)
003 Create A Series Object from a Python Dictionary.mp4 (6.53 MB)
005 Intro to Attributes on a Series Object.mp4 (18.87 MB)
006 Intro to Methods on a Series Object.mp4 (9.53 MB)
007 Parameters and Arguments.mp4 (29.7 MB)
008 Create Series from Dataset with the pd read csv Method.mp4 (29.41 MB)
010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4 (8.55 MB)
011 Passing pandas Objects to Python Built-In Functions.mp4 (12.15 MB)
012 Accessing More Series Attributes.mp4 (25.61 MB)
013 Use the sort values method to sort a Series in ascending or descending order.mp4 (28.49 MB)
014 Use the inplace Parameter to permanently mutate a pandas data structure.mp4 (14.34 MB)
015 Use the sort index Method to Sort the Index of a pandas Series object.mp4 (11.23 MB)
017 Use Python's in Keyword to Check for Inclusion in Series values or index.mp4 (9.2 MB)
018 Extract Series Values by Index Positiox.mp4 (23.5 MB)
019 Extract Series Values by Index Label.mp4 (22.1 MB)
021 Use the get Method to Retrieve a Value for an index label in a Series.mp4 (20.63 MB)
022 Math Methods on Series Objects.mp4 (15.28 MB)
023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4 (8.78 MB)
024 Use the value counts Method to See Counts of Unique Values within a Series.mp4 (8.18 MB)
025 Use the apply Method to Invoke a Function on Every Series Values.mp4 (18.33 MB)
026 The Series#map Method.mp4 (22.63 MB)
001 Intro to DataFrames I Module.mp4 (49.79 MB)
002 Shared Methods and Attributes between Series and DataFrames.mp4 (42.53 MB)
003 Differences between Shared Methods.mp4 (27.01 MB)
004 Select One Column from a DataFrame.mp4 (42.2 MB)
006 Select Two or More Columns from a DataFrame.mp4 (13.01 MB)
008 Add New Column to DataFrame.mp4 (40.64 MB)
009 Broadcasting Operations on DataFrames.mp4 (31.24 MB)
010 A Review of the value counts Method.mp4 (7.95 MB)
011 Drop DataFrame Rows with Null Values with the dropna Method.mp4 (37.16 MB)
013 Fill in Null DataFrame Values with the fillna Method.mp4 (14.77 MB)
014 Convert DataFrame Column Types with the astype Method.mp4 (60.72 MB)
015 Sort a DataFrame with the sort values Method, Part I.mp4 (43.29 MB)
016 Sort a DataFrame with the sort values Method, Part II.mp4 (17.16 MB)
018 Sort DataFrame Indexwith the sort index Method.mp4 (18.7 MB)
019 Rank Series Values with the rank Method.mp4 (21.78 MB)
001 This Module's Dataset + Memory Optimization.mp4 (75.27 MB)
002 Filter a DataFrame Based on A Condition.mp4 (82.28 MB)
003 Filter DataFrame with More than One Condition (AND - &).mp4 (14.76 MB)
004 Filter DataFrame with More than One Condition (OR - ).mp4 (27.47 MB)
005 Check for Inclusion with the isin Method.mp4 (20.56 MB)
006 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4 (18.75 MB)
007 Check For Inclusion Within a Range of Values with the between Method.mp4 (26.54 MB)
008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 (53.7 MB)
009 Delete Duplicate DataFrame Rows with the drop duplicates Method.mp4 (32.23 MB)
010 Identify and Count Unique Values with the unique and nunique Methods.mp4 (7.56 MB)
001 Intro to the DataFrames III Module + Import Dataset.mp4 (12.48 MB)
002 Use the set index and reset index methods to define a new DataFrame index.mp4 (17.59 MB)
003 Retrieve Rows by Index Label with loc Accessor.mp4 (34.39 MB)
004 Retrieve Rows by Index Position with iloc Accessor.mp4 (17.18 MB)
005 Passing second arguments to the loc and iloc Accessors.mp4 (25.65 MB)
006 Set New Value for a Specific Cell or Cells In a Row.mp4 (6.52 MB)
007 Set Multiple Values in a DataFrame.mp4 (16.11 MB)
008 Rename Index Labels or Columns in a DataFrame.mp4 (58.05 MB)
009 Delete Rows or Columns from a DataFrame.mp4 (29.04 MB)
010 Create Random Sample with the sample Method.mp4 (12.35 MB)
011 Use the nsmallest nlargest methods to get rows with smallest largest values.mp4 (28.3 MB)
012 Filter A DataFrame with the where method.mp4 (34.38 MB)
013 Filter A DataFrame with the query method.mp4 (33.05 MB)
014 A Review of the apply Method on a pandas Series Object.mp4 (18.63 MB)
015 Apply a Function to every DataFrame Row with the apply Method.mp4 (17.18 MB)
016 Create a Copy of a DataFrame with the copy Method.mp4 (36.08 MB)
001 Intro to the Working with Text Data Section.mp4 (14.41 MB)
002 Common String Methods - lower, upper, title, and len.mp4 (47.89 MB)
003 Use the str replace method to replace all occurrences of character with another.mp4 (38.91 MB)
004 Filter a DataFrame's Rows with String Methods.mp4 (36.08 MB)
005 More DataFrame String Methods - strip, lstrip, and rstrip.mp4 (7.89 MB)
006 Invoke String Methods on DataFrame Index and Columns.mp4 (14.58 MB)
007 Split Strings by Characters with the str split Method.mp4 (28.23 MB)
008 More Practice with the str split method on a Series.mp4 (36.36 MB)
009 Exploring the expand and n Parameters of the str split Method.mp4 (27.64 MB)
001 Intro to the MultiIndex Module.mp4 (9.84 MB)
002 Create a MultiIndex on a DataFrame with the set index Method.mp4 (22.14 MB)
003 Extract Index Level Values with the get level values Method.mp4 (9.89 MB)
004 Change Index Level Name with the set names Method.mp4 (9.09 MB)
005 The sort index Method on a MultiIndex DataFrame.mp4 (16.77 MB)
006 Extract Rows from a MultiIndex DataFrame.mp4 (22.8 MB)
007 The transpose Method on a MultiIndex DataFrame.mp4 (17.97 MB)
008 The swaplevel() Method.mp4 (4.88 MB)
009 The stack() Method.mp4 (36.38 MB)
010 The unstack() Method, Part 1.mp4 (11.42 MB)
011 The unstack() Method, Part 2.mp4 (31.22 MB)
012 The unstack() Method, Part 3.mp4 (27.27 MB)
013 The pivot Method.mp4 (15.72 MB)
014 Use the pivot table method to create an aggregate summary of a DataFrame.mp4 (32.73 MB)
015 Use the pd melt method to create a narrow dataset from a wide one.mp4 (47.79 MB)
001 Intro to the Groupby Module.mp4 (23.13 MB)
002 First Operations with groupby Object.mp4 (61.64 MB)
003 Retrieve a group from a GroupBy object with the get group Method.mp4 (9.18 MB)
004 Methods on the Groupby Object and DataFrame Columns.mp4 (33.03 MB)
005 Grouping by Multiple Columns.mp4 (24.47 MB)
006 The agg() Method.mp4 (41.47 MB)
007 Iterating through Groups.mp4 (33.74 MB)
001 Intro to the Merging, Joining, and Concatenating Section.mp4 (11.89 MB)
002 The pd concat Method, Part 1.mp4 (10.48 MB)
003 The pd concat Method, Part 2.mp4 (15.31 MB)
004 Inner Joins, Part 1.mp4 (43.41 MB)
005 Inner Joins, Part 2.mp4 (20.8 MB)
006 Outer Joins.mp4 (59.65 MB)
007 Left Joins.mp4 (63.15 MB)
008 The left on and right on Parameters.mp4 (48.52 MB)
009 Merging by Indexes with the left index and right index Parameters.mp4 (53.98 MB)
010 The join() Method.mp4 (5.49 MB)
011 The pd merge() Method.mp4 (10.28 MB)
001 Intro to the Working with Dates and Times Module.mp4 (5.58 MB)
002 Review of Python's datetime Module.mp4 (29.2 MB)
003 The pandas Timestamp Object.mp4 (17.4 MB)
004 The pandas DateTimeIndex Object.mp4 (13.06 MB)
005 The pd to datetime() Method.mp4 (50 MB)]
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