Skip to content

[GigaCourse Com] Udemy - 2022 Python Data Analysis & Visualization Masterclass

Sign up to create lists
Report [GigaCourse Com] Udemy - 2022 Python Data Analysis & Visualization Masterclass
Unverified source. This magnet is from an unverified source. The content may be unsafe or mislabeled. Proceed with caution.
Title: UdemyGroup: NOGRPYear: 2022Source: Udemy
Info Hash
B52779E4D767A30563147328BA2A44392D545491
Source
Unverified
Total Size
8.5 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[GigaCourse.Com].url49 B
01 - Introduction/001 Course Welcome & Curriculum Walkthrough.mp4116.97 MB
01 - Introduction/001 Course Welcome & Curriculum Walkthrough_en.srt12.73 KB
01 - Introduction/002 What Do You Need To Know To Take This Course.mp416.78 MB
01 - Introduction/002 What Do You Need To Know To Take This Course_en.srt2.92 KB
01 - Introduction/003 DataAnalysisCourseMaterials.zip120.53 MB
01 - Introduction/003 Downloading The Course Materials IMPORTANT!!.mp428.41 MB
01 - Introduction/003 Downloading The Course Materials IMPORTANT!!_en.srt4.19 KB
01 - Introduction/004 How The Exercises Work.mp418.66 MB
01 - Introduction/004 How The Exercises Work_en.srt3.89 KB
02 - Setup & Installation/001 Introducing Jupyter Notebook!.mp444.62 MB
02 - Setup & Installation/001 Introducing Jupyter Notebook!_en.srt9.41 KB
02 - Setup & Installation/002 Mac Installation Walkthrough.mp457.42 MB
02 - Setup & Installation/002 Mac Installation Walkthrough_en.srt10.58 KB
02 - Setup & Installation/003 Windows Installation Walkthrough.mp454.66 MB
02 - Setup & Installation/003 Windows Installation Walkthrough_en.srt11.41 KB
02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows).mp420.8 MB
02 - Setup & Installation/004 Installing Pandas & Matplotlib (Mac & Windows)_en.srt6.88 KB
02 - Setup & Installation/external-assets-links.txt162 B
03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells.mp439.05 MB
03 - Working With Jupyter Notebook/001 Creating Notebooks & Running Cells_en.srt11.06 KB
03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server.mp433.64 MB
03 - Working With Jupyter Notebook/002 Shutting Down The Notebook Server_en.srt8.79 KB
03 - Working With Jupyter Notebook/003 How Cell Output Works.mp46.12 MB
03 - Working With Jupyter Notebook/003 How Cell Output Works_en.srt4.33 KB
03 - Working With Jupyter Notebook/004 Command Mode Shortcuts.mp435.46 MB
03 - Working With Jupyter Notebook/004 Command Mode Shortcuts_en.srt10.64 KB
03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!.mp434.21 MB
03 - Working With Jupyter Notebook/005 Cell Types Markdown Time!_en.srt8.26 KB
03 - Working With Jupyter Notebook/006 Restarting The Kernel.mp426.2 MB
03 - Working With Jupyter Notebook/006 Restarting The Kernel_en.srt11.14 KB
03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook.mp421.9 MB
03 - Working With Jupyter Notebook/007 Viewing The Docs Inside A Notebook_en.srt4.47 KB
03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook.mp415.98 MB
03 - Working With Jupyter Notebook/008 EXERCISE Jupyter Notebook_en.srt4.54 KB
03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook.mp439.11 MB
03 - Working With Jupyter Notebook/009 SOLUTION Jupyter Notebook_en.srt10.4 KB
04 - Dataframes & Datasets/001 Datasets & CSV.mp442.9 MB
04 - Dataframes & Datasets/001 Datasets & CSV_en.srt9.09 KB
04 - Dataframes & Datasets/002 pd.read_csv & DataFrames.mp447.9 MB
04 - Dataframes & Datasets/002 pd.read_csv & DataFrames_en.srt10.16 KB
04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc.mp468.09 MB
04 - Dataframes & Datasets/003 Inspecting DataFrames head(), tail(), etc_en.srt11.31 KB
04 - Dataframes & Datasets/004 DataTypes and info().mp439.75 MB
04 - Dataframes & Datasets/004 DataTypes and info()_en.srt7.42 KB
04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough.mp453.06 MB
04 - Dataframes & Datasets/005 The House Sales Dataset Walkthrough_en.srt8.49 KB
04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough.mp479.67 MB
04 - Dataframes & Datasets/006 The Titanic Passenger Dataset Walkthrough_en.srt13.5 KB
04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset.mp485.13 MB
04 - Dataframes & Datasets/007 Non-comma Separators Netflix Dataset_en.srt12.84 KB
04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset.mp440.92 MB
04 - Dataframes & Datasets/008 Overriding Headers Country Population Dataset_en.srt6.74 KB
04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets.mp417.49 MB
04 - Dataframes & Datasets/009 EXERCISE DataFrames & Datasets_en.srt5.07 KB
04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets.mp482.32 MB
04 - Dataframes & Datasets/010 SOLUTION DataFrames & Datasets_en.srt13.09 KB
04 - Dataframes & Datasets/[CourseClub.Me].url122 B
04 - Dataframes & Datasets/[GigaCourse.Com].url49 B
05 - Basic DataFrame Methods & Computations/001 Min & Max.mp437.56 MB
05 - Basic DataFrame Methods & Computations/001 Min & Max_en.srt8.75 KB
05 - Basic DataFrame Methods & Computations/002 Sum & Count.mp471.06 MB
05 - Basic DataFrame Methods & Computations/002 Sum & Count_en.srt14.35 KB
05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode.mp430.25 MB
05 - Basic DataFrame Methods & Computations/003 Mean, Median, & Mode_en.srt8.45 KB
05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values.mp429.28 MB
05 - Basic DataFrame Methods & Computations/004 Describe With Numeric Values_en.srt6.94 KB
05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values.mp454.48 MB
05 - Basic DataFrame Methods & Computations/005 Describe With Objects (Text) Values_en.srt11.85 KB
05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods.mp413.47 MB
05 - Basic DataFrame Methods & Computations/006 EXERCISE Basic DataFrame Methods_en.srt2.58 KB
05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods.mp431.66 MB
05 - Basic DataFrame Methods & Computations/007 SOLUTION Basic DataFrame Methods_en.srt6.75 KB
06 - Series & Columns/001 Selecting A Single Column.mp443.19 MB
06 - Series & Columns/001 Selecting A Single Column_en.srt11.53 KB
06 - Series & Columns/002 A Closer Look At Series.mp451.03 MB
06 - Series & Columns/002 A Closer Look At Series_en.srt13.76 KB
06 - Series & Columns/003 Important Series Methods.mp417.36 MB
06 - Series & Columns/003 Important Series Methods_en.srt7.53 KB
06 - Series & Columns/004 unique & nunique.mp429.62 MB
06 - Series & Columns/004 unique & nunique_en.srt7.77 KB
06 - Series & Columns/005 nlargest & nsmallest.mp453.88 MB
06 - Series & Columns/005 nlargest & nsmallest_en.srt10.62 KB
06 - Series & Columns/006 Selecting Multiple Columns.mp421.79 MB
06 - Series & Columns/006 Selecting Multiple Columns_en.srt5.62 KB
06 - Series & Columns/007 The powerful value_counts() method.mp447.57 MB
06 - Series & Columns/007 The powerful value_counts() method_en.srt13.22 KB
06 - Series & Columns/008 Using plot() to visualize!.mp459.72 MB
06 - Series & Columns/008 Using plot() to visualize!_en.srt16.84 KB
06 - Series & Columns/009 EXERCISE Series & Plotting.mp418.2 MB
06 - Series & Columns/009 EXERCISE Series & Plotting_en.srt4.73 KB
06 - Series & Columns/010 SOLUTION Series & Plotting.mp463.63 MB
06 - Series & Columns/010 SOLUTION Series & Plotting_en.srt14.4 KB
07 - Indexing & Sorting/001 Set_Index Basics.mp457.21 MB
07 - Indexing & Sorting/001 Set_Index Basics_en.srt14.58 KB
07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset.mp436.41 MB
07 - Indexing & Sorting/002 set_index The World Happiness Index Dataset_en.srt8.16 KB
07 - Indexing & Sorting/003 setting index with read_csv.mp420.54 MB
07 - Indexing & Sorting/003 setting index with read_csv_en.srt4 KB

Trackers

No trackers found.