[FreeCoursesOnline.Me] [Packt] Data Wrangling with Python 3.x [FCO]

Torrent Hash:
61D11229A34F16C839B6BAD95B4AEF28019F26AC
Number of Files:
45
Content Size:
1.34GB
Convert On:
2020-07-30
Magnet Link:
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File Name
Size
01.Gathering and Parsing Data/0101.The Course Overview.mp4
30.8MB
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01.Gathering and Parsing Data/0102.Installing Anaconda Navigator on WindowsLinux.mp4
53.54MB
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01.Gathering and Parsing Data/0103.Importing and Parsing CSV in Python.mp4
28.48MB
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01.Gathering and Parsing Data/0104.Importing and Parsing JSON in Python.mp4
22.82MB
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01.Gathering and Parsing Data/0105.Scraping Data from Public Web – Part 1.mp4
20.9MB
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01.Gathering and Parsing Data/0106.Scraping Data from Public Web – Part 2.mp4
49.36MB
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02.Working with Data from Excel and PDF Files/0201.Importing and Parsing Excel Files – Part 1.mp4
20.32MB
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02.Working with Data from Excel and PDF Files/0202.Importing and Parsing Excel Files – Part 2.mp4
205.67MB
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02.Working with Data from Excel and PDF Files/0203.Manipulating PDF Files in Python – Part 1.mp4
125.34MB
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02.Working with Data from Excel and PDF Files/0204.Manipulating PDF Files in Python – Part 2.mp4
126.67MB
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03.Storing Data in Persistent Storage/0301.Difference between Relational and Non-Relational Databases.mp4
14.69MB
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03.Storing Data in Persistent Storage/0302.Storing Data in SQLite Databases.mp4
33.35MB
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03.Storing Data in Persistent Storage/0303.Storing Data in MongoDB.mp4
25.17MB
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03.Storing Data in Persistent Storage/0304.Storing Data in Elasticsearch.mp4
27.53MB
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03.Storing Data in Persistent Storage/0305.Comparative Study of Databases for Storage.mp4
5.02MB
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04.Cleaning Structured Data/0401.The Most Important Step in Data Analysis.mp4
11.88MB
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04.Cleaning Structured Data/0402.ViewingInspecting DataFrames.mp4
26MB
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04.Cleaning Structured Data/0403.RenamingAddingRemoving the DataFrame Columns.mp4
26.72MB
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04.Cleaning Structured Data/0404.Dropping Duplicate Rows.mp4
26.24MB
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04.Cleaning Structured Data/0405.Indexing DataFrame to Retrieve Specific Columns and Rows.mp4
28.16MB
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04.Cleaning Structured Data/0406.MergingConcatenatingJoining DataFrames.mp4
31.45MB
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04.Cleaning Structured Data/0407.Dealing with Missing Values.mp4
33.56MB
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05.More Data Cleaning and Transformation/0501.Filtering and Sorting of DataFrame.mp4
25.93MB
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05.More Data Cleaning and Transformation/0502.EncodingMapping Existing Values – Part 1.mp4
23.51MB
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05.More Data Cleaning and Transformation/0503.EncodingMapping Existing Values – Part 2.mp4
18.85MB
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05.More Data Cleaning and Transformation/0504.RescaleStandardize Column Values.mp4
29.42MB
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05.More Data Cleaning and Transformation/0505.Common Cleaning Operations.mp4
27.8MB
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05.More Data Cleaning and Transformation/0506.Exporting Datasets for Future Use.mp4
22.07MB
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06.Performing Statistical Analysis/0601.Different Uses of Packages (Pandas, NumPy, SciPy, and Matplotlib).mp4
3.12MB
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06.Performing Statistical Analysis/0602.Types of Column NamesFeaturesAttributes in Structured Data.mp4
4.36MB
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06.Performing Statistical Analysis/0603.Split-Apply-Combine (Performing Group By Operation).mp4
24.38MB
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06.Performing Statistical Analysis/0604.Descriptive Statistics Using Python – Part 1.mp4
23MB
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06.Performing Statistical Analysis/0605.Descriptive Statistics Using Python – Part 2.mp4
22.35MB
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07.Let the Visualizations Tell the Story/0701.Using Visualizations.mp4
3.76MB
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07.Let the Visualizations Tell the Story/0702.Cool Visualization of Real-World Datasets of World Population Evolution.mp4
7.12MB
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07.Let the Visualizations Tell the Story/0703.Visualizations in Python – Part 1.mp4
26.3MB
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95.74MB
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36.73MB
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