2.9 GB | 00:18:22 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
001 Course Structure & Outline  (24.84 MB)
004 Introducing the Course Project  (5.11 MB)
005 Setting Expectations  (8.06 MB)
006 Jupyter Installation & Launch  (29.98 MB)
001 Pandas & NumPy Intro  (14.63 MB)
002 Numpy Arrays & Array Properties  (29.91 MB)
004 ASSIGNMENT Array Basics  (8.22 MB)
005 SOLUTION Array Basics  (6.59 MB)
006 Array Creation  (26.31 MB)
007 Random Number Generation  (13.46 MB)
009 ASSIGNMENT Array Creation  (4.64 MB)
010 SOLUTION Array Creation  (11.89 MB)
011 Indexing & Slicing Arrays  (16.7 MB)
013 ASSIGNMENT Indexing & Slicing Arrays  (2.62 MB)
014 SOLUTION Indexing & Slicing Arrays  (10.07 MB)
015 Array Operations  (26.36 MB)
017 ASSIGNMENT Array Operations  (9.73 MB)
018 SOLUTION Array Operations  (14.13 MB)
019 Filtering Arrays & Modifying Array Values  (26.09 MB)
020 The Where Function  (10.11 MB)
022 ASSIGNMENT Filtering & Modifying Arrays  (6.45 MB)
023 SOLUTION Filtering & Modifying Arrays  (14.77 MB)
024 Array Aggregation  (11.69 MB)
025 Array Functions  (14.19 MB)
026 Sorting Arrays  (6.55 MB)
028 ASSIGNMENT Aggregation & Sorting  (5.77 MB)
029 SOLUTION Aggregation & Sorting  (6.78 MB)
030 Vectorization  (8.8 MB)
031 Broadcasting  (16.51 MB)
033 ASSIGNMENT Bringing it all together  (8.53 MB)
034 SOLUTION Bringing it all together  (25.37 MB)
035 Key Takeaways  (3.77 MB)
001 Series Basics  (29.55 MB)
002 Pandas Data Types & Type Conversion  (27.52 MB)
004 ASSIGNMENT Data Types & Type Conversion  (7.61 MB)
005 SOLUTION Data Types & Type Conversion  (11.78 MB)
006 The Series Index & Custom Indices  (11.55 MB)
007 The  iloc Accessor  (11.39 MB)
008 The  loc Accessor  (14.59 MB)
009 Duplicate Index Values & Resetting The Index  (11.77 MB)
011 ASSIGNMENT Accessing Data & Resetting The Index  (7.04 MB)
012 SOLUTION Accessing Data & Resetting The Index  (11.71 MB)
013 Filtering Series & Logical Tests  (15.64 MB)
014 Sorting Series  (6.31 MB)
016 ASSIGNMENT Sorting & Filtering Series  (4.03 MB)
017 SOLUTION Sorting & Filtering Series  (12.26 MB)
018 Numeric Series Operations  (11.52 MB)
019 Text Series Operations  (16.24 MB)
021 ASSIGNMENT Series Operations  (7.09 MB)
022 SOLUTION Series Operations  (17.61 MB)
023 Numerical Series Aggregation  (14.82 MB)
024 Categorical Series Aggregation  (6.42 MB)
026 ASSIGNMENT Series Aggregation  (2.5 MB)
027 SOLUTION Series Aggregation  (10.95 MB)
028 Missing Data Representation in Pandas  (9.46 MB)
029 Identifying Missing Data  (4.43 MB)
030 Fixing Missing Data  (32.33 MB)
032 ASSIGNMENT Missing Data  (2.24 MB)
033 SOLUTION Missing Data  (4.44 MB)
034 Applying Custom Functions to Series  (7.03 MB)
035 Pandas Where (vs  NumPy Where)  (14.33 MB)
037 ASSIGNMENT Apply & Where  (3.55 MB)
038 SOLUTION Apply & Where  (19.41 MB)
039 Key Takeaways  (2.73 MB)
001 DataFrame Basics  (12.26 MB)
002 Creating a DataFrame  (11.74 MB)
004 Exploring DataFrames Heads, Tails & Sample  (7.11 MB)
005 ASSIGNMENT DataFrame Basics  (2.14 MB)
006 SOLUTION DataFrame Basics  (3.77 MB)
007 Exploring DataFrames Info & Describe  (17.12 MB)
009 ASSIGNMENT Exploring a DataFrame  (2.62 MB)
010 SOLUTION Exploring a DataFrame  (10.72 MB)
011 Accessing DataFrame Columns  (9.83 MB)
012 Accessing DataFrame Data with  iloc &  loc  (11.08 MB)
014 ASSIGNMENT Accessing DataFrame Data  (3.06 MB)
015 SOLUTION Accessing DataFrame Data  (7.14 MB)
016 Dropping Columns & Rows  (28.94 MB)
017 Identifying & Dropping Duplicates  (15.66 MB)
019 ASSIGNMENT Dropping Data  (2.5 MB)
020 SOLUTION Dropping Data  (5.24 MB)
021 Missing Data  (7.28 MB)
023 ASSIGNMENT Missing Data  (2.49 MB)
024 SOLUTION Missing Data  (4.74 MB)
025 Filtering DataFrames  (10.95 MB)
026 PRO TIP The Query Method  (13.24 MB)
028 ASSIGNMENT Filtering DataFrames  (3.3 MB)
029 SOLUTION Filtering DataFrames  (28.12 MB)
030 Sorting DataFrames  (17.77 MB)
032 ASSIGNMENT Sorting DataFrames  (3.16 MB)
033 SOLUTION Sorting DataFrames  (7.41 MB)
034 Renaming & Reordering Columns  (6.37 MB)
036 ASSIGNMENT Renaming & Reordering Columns  (2.89 MB)
037 SOLUTION Renaming & Reordering Columns  (8.11 MB)
038 Arithmetic & Boolean Column Creation  (18.33 MB)
040 ASSIGNMENT Arithmetic & Boolean Columns  (7.25 MB)
041 SOLUTION Arithmetic & Boolean Columns  (16.1 MB)
042 PRO TIP Advanced Conditional Columns with Select  (14.39 MB)
044 ASSIGNMENT The Select Function  (5.51 MB)
045 SOLUTION The Select Function  (15.28 MB)
046 The Map Method  (11.5 MB)
047 PRO TIP Multiple Column Creation with Assign  (42.7 MB)
049 ASSIGNMENT Map & Assign  (7.38 MB)
050 SOLUTION Map & Assign  (7.32 MB)
051 The Categorical Data Type  (16.09 MB)
052 Type Conversion  (3.78 MB)
053 PRO TIP Memory Usage & DataTypes  (14.32 MB)
054 PRO TIP Downcasting Numeric Data Types  (16.2 MB)
056 ASSIGNMENT DataFrame DataTypes  (4.51 MB)
057 SOLUTION DataFrame DataTypes  (18.03 MB)
058 Key Takeways  (3.59 MB)
001 Basic Aggregations  (8.77 MB)
002 The Groupby Method  (11.25 MB)
004 ASSIGNMENT Groupby  (3.46 MB)
005 SOLUTION Groupby  (5.46 MB)
006 Grouping By Multiple Columns  (13.11 MB)
008 ASSIGNMENT Grouping By Multiple Columns  (3.41 MB)
009 SOLUTION Grouping By Multiple Columns  (6.78 MB)
010 Multi-Index DataFrames  (20.62 MB)
011 Modifying Multi-Indices  (12.47 MB)
013 ASSIGNMENT Multi-Index DataFrames  (4.17 MB)
014 SOLUTION Multi-Index DataFrames  (11.68 MB)
015 The Agg Method & Named Aggregations  (28.22 MB)
017 ASSIGNMENT The Agg Method  (4.3 MB)
018 SOLUTION The Agg Method  (12.64 MB)
019 PRO TIP Transforming DataFrames  (27.03 MB)
021 ASSIGNMENT Transforming a DataFrame  (3.97 MB)
022 SOLUTION Transforming a DataFrame  (20.29 MB)
023 Pivot Tables in Pandas  (36.58 MB)
025 Multiple Aggregation Pivot Tables  (6.55 MB)
026 PRO TIP Pivot Table Heatmaps  (19.14 MB)
027 Melting DataFrames  (19.58 MB)
029 ASSIGNMENT Pivot & Melt  (6.35 MB)
030 SOLUTION Pivot & Melt  (31.78 MB)
031 Key Takeaways  (4.91 MB)
001 The matplotlib API & The  plot() Method  (37.71 MB)
002 ASSIGNMENT Basic Line Chart  (2.26 MB)
003 SOLUTION Basic Line Chart  (10.29 MB)
004 Chart Titles  (13.29 MB)
005 Chart Colors  (25.5 MB)
006 Line Styles  (8.38 MB)
007 Chart Legends & Gridlines  (17.58 MB)
008 Chart Styles  (24.61 MB)
009 ASSIGNMENT Stylized Line Chart  (3.52 MB)
010 SOLUTION Stylized Line Chart  (5.77 MB)
011 Subplots & Figure Size  (27.07 MB)
012 ASSIGNMENT Subplots  (7.42 MB)
013 SOLUTION Subplots  (9.63 MB)
014 Bar Charts  (22.42 MB)
015 Grouped & Stacked Bar Charts  (19.55 MB)
016 ASSIGNMENT Bar Charts  (4.34 MB)
017 SOLUTION Bar Charts  (6.8 MB)
018 Pie Charts & Scatterplots  (23.44 MB)
019 ASSIGNMENT Scatterplots  (4.19 MB)
020 SOLUTION Scatterplots  (5.89 MB)
021 Histograms  (13.04 MB)
022 ASSIGNMENT Histograms  (1.27 MB)
023 SOLUTION Histograms  (3.43 MB)
024 Saving Plots & Further Exploration  (7.66 MB)
025 Key Takeaways  (3.57 MB)
001 Mid-Course Project Intro  (37.69 MB)
002 SOLUTION Mid-Course Project  (136.45 MB)
001 Times in Python and Pandas  (6.17 MB)
002 Converting To Datetimes  (35.73 MB)
003 Formatting Dates  (19.57 MB)
004 Date & Time Parts  (12.7 MB)
006 ASSIGNMENT Pandas Datetime Basics  (5.38 MB)
007 SOLUTION Pandas Datetime Basics  (11.12 MB)
008 Time Deltas & Arithmetic  (20.11 MB)
010 ASSIGNMENT Time Deltas  (4.05 MB)
011 SOLUTION Time Deltas  (7.62 MB)
012 Time Series Indices  (11.44 MB)
013 Missing Time Series Data  (13.88 MB)
015 ASSIGNMENT Missing Time Series Data  (8.18 MB)
016 SOLUTION Missing Time Series Data  (9.89 MB)
017 Shifting Time Series  (9.38 MB)
018 PRO TIP DIFF()  (6.19 MB)
020 ASSIGNMENT Shift & Diff  (4.11 MB)
021 SOLUTION Shift & Diff  (11.54 MB)
022 Aggregation & Resampling  (18.71 MB)
024 ASSIGNMENT Resampling  (1.63 MB)
025 SOLUTION Resampling  (5.13 MB)
026 Rolling Aggregations  (17.71 MB)
028 ASSIGNMENT Rolling Aggregations  (1.99 MB)
029 SOLUTION Rolling Aggregations  (2.76 MB)
030 Key Takeaways  (3.4 MB)
001 Preprocessing with read csv  (14.76 MB)
002 Column Selection  (12.03 MB)
003 Row Selection & Missing Values  (8.38 MB)
005 PRO TIP Converters  (7.71 MB)
006 ASSIGNMENT Importing Data  (8.56 MB)
007 SOLUTION Importing Data  (23.11 MB)
008 Parsing Dates & Data Types  (7.13 MB)
010 Importing from Text & Excel Files  (23.74 MB)
011 Exporting to Flat Files  (3.99 MB)
013 ASSIGNMENT Importing & Exporting Excel Data  (6.37 MB)
014 SOLUTION Importing & Exporting Excel Data  (8.2 MB)
015 Working With SQL Databases  (16.73 MB)
016 Other Supported File Formats  (14.42 MB)
017 Key Takeaways  (2.62 MB)
001 Why Multiple Tables  (4.45 MB)
002 Appending DataFrames  (20.6 MB)
004 ASSIGNMENT Appending DataFrames  (6.72 MB)
005 SOLUTION Appending DataFrames  (8.35 MB)
006 Joining DataFrames  (4.99 MB)
007 Join Types  (7.18 MB)
008 Inner Joins  (15.67 MB)
009 Left Joins  (19.99 MB)
011 ASSIGNMENT Joining DataFrames  (8.88 MB)
012 SOLUTION Joining DataFrames  (30.38 MB)
013 The Join Method  (4.08 MB)
014 Key Takeaways  (2.83 MB)
001 Final Project Intro  (20.58 MB)
002 SOLUTION Final Project  (120.14 MB)
[align=center]
Screenshot

[/align]

https://rapidgator.net/file/8502f02c457ea873e64a84618ee9689a/.Python.Data.Analysis.NumPy..Pandas.Masterclass.part1.rar
https://rapidgator.net/file/1d83d4f51abadac99e9c94b00958bf17/.Python.Data.Analysis.NumPy..Pandas.Masterclass.part2.rar

https://filestore.me/vs6biix3uyrz/.Python.Data.Analysis.NumPy..Pandas.Masterclass.part1.rar
https://filestore.me/ecj1wfmkyuhg/.Python.Data.Analysis.NumPy..Pandas.Masterclass.part2.rar