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mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:14.63 GB

Files Included :

1  Introduction.mp4 (58.32 MB)
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2  What makes this course different.mp4 (82.37 MB)
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3  What is pandas.mp4 (246.14 MB)
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4  Course content and structure.mp4 (151.71 MB)
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1  Basics of transformation.mp4 (262.1 MB)
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1 1 transformation.zip (10.98 MB)
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2  Time series transform lag, shift, diff and pct change.mp4 (124.24 MB)
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3  The transform( ) function itself.mp4 (153.27 MB)
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4  User Defined Functions (UDF) for transformation.mp4 (204.53 MB)
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1  Apply.mp4 (136.97 MB)
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1 1 realtor-data.zip (10.21 MB)
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2  Map.mp4 (64.82 MB)
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3  Lambda Functions.mp4 (80.93 MB)
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1  Study tips.mp4 (112.21 MB)
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1  Introduction to the Split-Apply-Combine Strategy in data analytics.mp4 (115.45 MB)
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1 1 data.zip (21.81 MB)
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2  Groupby basics.mp4 (108.34 MB)
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2 1 data.zip (21.81 MB)
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3  Aggregationstatistics by group.mp4 (175.02 MB)
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4  The agg function and California restaurants.mp4 (84.36 MB)
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5  Transformation by group & stock prices.mp4 (184.78 MB)
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6  Caveat on transformation by group.mp4 (109.05 MB)
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1  String data types in pandas, concatenate & change cases.mp4 (232.89 MB)
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1 1 templates.zip (6.56 KB)
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2  Split strings.mp4 (54.3 MB)
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3  Replace, strip, pad, zerofill strings.mp4 (143.2 MB)
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4  Removing prefixsuffix, string slicing, length & count.mp4 (102.13 MB)
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1  How pandas store date and time.mp4 (29.53 MB)
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1 1 data.zip (349.89 KB)
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2  The time stamp.mp4 (131.11 MB)
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3  Frequencies Part 1.mp4 (140.46 MB)
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4  Frequences Part 2.mp4 (140.87 MB)
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5  The  dt accessor magic.mp4 (107.45 MB)
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6  Date & time calculations Absolute Time Delta.mp4 (64.07 MB)
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7  More sensible date & time calculations Offsets.mp4 (152.03 MB)
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8  DateTime resampling the basics.mp4 (159.37 MB)
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9  DateTime resampling by group.mp4 (136.67 MB)
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1  Reshape from long to wide formats pivot( ).mp4 (249.91 MB)
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1 1 data.zip (2.26 MB)
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2  Reshapepivot from long to wide with multiple columns.mp4 (53.06 MB)
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3  Excel-style pivot tables.mp4 (200.64 MB)
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4  Differences between pivot( ) and pivot table( ).mp4 (22.02 MB)
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5  Reshape from wide to long format melt( ).mp4 (183.56 MB)
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6  Financial ratios case study.mp4 (286.91 MB)
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1  Introduction to joining data frames.mp4 (91.13 MB)
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1 1 data.zip (2.41 MB)
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2  Vertical merge (concat).mp4 (104.14 MB)
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2 1 data.zip (2.42 MB)
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3  Horizontal merge inner join.mp4 (112.18 MB)
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4  Horizontal merge outerleftright joins.mp4 (134.73 MB)
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5  Financial ratios case setup.mp4 (73.88 MB)
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6  Financial ratios case merge.mp4 (110.29 MB)
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7  Financial ratios case ratios calculation.mp4 (116.7 MB)
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8  Financial ratios case solutions.mp4 (124 MB)
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1  The basic idea of rolling windows.mp4 (79.81 MB)
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1 1 data.zip (4.93 MB)
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2  Moving windows basics.mp4 (144.09 MB)
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2 1 data.zip (4.93 MB)
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3  Moving windows by group.mp4 (61.86 MB)
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4  Exponential moving averages.mp4 (25.59 MB)
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1  Introduction to visualization.mp4 (23.28 MB)
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1 1 data.zip (5.65 MB)
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2  Preparation and setup.mp4 (81.43 MB)
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3  Line plots.mp4 (194.45 MB)
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4  Subplots.mp4 (72.58 MB)
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5  Bar plots.mp4 (27.1 MB)
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6  Scatter plots.mp4 (61.15 MB)
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7  Histograms.mp4 (15.75 MB)
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8  Area plots.mp4 (12.42 MB)
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9  Pie charts.mp4 (6.85 MB)
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1  Install Python and Pandas.mp4 (68.84 MB)
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2  Install Jupyter NotebookLab.mp4 (59.4 MB)
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1  Introduction to the case.mp4 (118.06 MB)
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1 1 data.zip (5.09 MB)
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2  Data cleaning and preparation.mp4 (149.1 MB)
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2 1 data.zip (5.09 MB)
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3  Calculating stock momentum.mp4 (158.83 MB)
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4  Calculating forward returns.mp4 (78.35 MB)
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5  Forming decile porfolios.mp4 (64.19 MB)
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6  Calculating the results.mp4 (61.29 MB)
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7  Visualizing the results.mp4 (100.84 MB)
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1  Introduction to NumPy.mp4 (167.2 MB)
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2  How to create numpy arrays.mp4 (103.75 MB)
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3  How to create special arrays.mp4 (131 MB)
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4  How to reshape numpy arrays.mp4 (74.51 MB)
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5  How to generate random numbers in NumPy.mp4 (234.37 MB)
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6  How to do random shuffling and selections in NumPy.mp4 (81.65 MB)
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7  Element-wise computations & broadcasting.mp4 (130.8 MB)
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8  Matrix math in NumPy.mp4 (197.79 MB)
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9  NumPy's indexing approach.mp4 (263.53 MB)
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1  Pandas vs NumPy.mp4 (39.86 MB)
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2  Basics of series.mp4 (233.75 MB)
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3  Advanced series operations.mp4 (126.02 MB)
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1  Data Frames Basics.mp4 (178.33 MB)
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2  Data Frame basics operations and Gotchas!.mp4 (92.11 MB)
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3  Data Frame computations and new columns.mp4 (99.43 MB)
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4  Useful data frame methods.mp4 (153.94 MB)
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5  Add and drop columns.mp4 (62.95 MB)
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1  Overview of Data File Formats.mp4 (91.84 MB)
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1 1 data files.zip (11.41 MB)
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2  How to Read CSV files.mp4 (145.97 MB)
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2 1 data files.zip (11.41 MB)
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3  Read CSV Files with DateTime Columns.mp4 (162.98 MB)
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4  Dataset with headers and footers (Fama-French).mp4 (56.14 MB)
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5  How to write to CSV files.mp4 (56.13 MB)
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6  How to read and write Parquet files.mp4 (120.19 MB)
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7  How to read and write tab-deliminated and other formats.mp4 (22.58 MB)
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8  How to read and write JSON from the web.mp4 (424.84 MB)
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1  Basic data selection in data frames.mp4 (262.94 MB)
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1 1 california restaurants.zip (150.94 KB)
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2  Gotchas!.mp4 (126.28 MB)
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3  The  loc selector.mp4 (259.34 MB)
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4  How to conditionally modify rows using  loc selector.mp4 (161.26 MB)
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5  The  iloc selector.mp4 (116.09 MB)
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6  Reset the index.mp4 (29.19 MB)
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7  Filter rows with logical conditions.mp4 (277.78 MB)
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8  Chaining complex operations in pandas.mp4 (112.01 MB)
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1  Sort by a single column.mp4 (71.72 MB)
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1 1 california restaurants.zip (150.94 KB)
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2  Sort by multiple columns.mp4 (181.05 MB)
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3  Counting rows & values.mp4 (60.5 MB)
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4  Finding unique values.mp4 (105.19 MB)
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5  Duplicated values part 1.mp4 (130.92 MB)
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6  Duplicated values part 2.mp4 (127.64 MB)
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1  How to find missing values.mp4 (192.35 MB)
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1 1 data.zip (210 KB)
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2  Missing value propogation.mp4 (302.07 MB)
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3  How to fill missing values basics.mp4 (16.9 MB)
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4  How to forward and backward fill missing values in a time-series.mp4 (109.53 MB)
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5  How to fill missing values with averages.mp4 (186.1 MB)
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6  How to use the replace method to good effect.mp4 (57.57 MB)
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7  How to interpolate missing values in a time-series.mp4 (59.23 MB)
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1  Aggregation vs  transformation.mp4 (153.71 MB)
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1 1 aggregation data.zip (10.97 MB)
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2  Aggregation basics.mp4 (224.15 MB)
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2 1 aggregation data.zip (10.97 MB)
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3  Multiple statistics for multiple columns at once.mp4 (37.09 MB)
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4  Specific statistics for specific columns at once.mp4 (119.29 MB)
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5  idxmax and idxmin.mp4 (64.87 MB)
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6  Pandas build-in aggregation functions.mp4 (84.56 MB)
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7  Pandas statistic functions.mp4 (59.43 MB)
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8  User Defined Functions (UDF) for aggregation.mp4 (115.44 MB)
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