[ FreeCourseWeb ] Udemy - Data Analytics - Python Visualizations

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[ FreeCourseWeb.com ] Udemy - Data Analytics - Python Visualizations
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 Matplotlib and Seaborn – Libraries and Techniques
    • 001 Author Introduction.en.srt (2.1 KB)
    • 001 Author Introduction.mp4 (26.7 MB)
    • 002 What will you Learn.en.srt (4.4 KB)
    • 002 What will you Learn.mp4 (29.2 MB)
    • 003 Visualization Concepts.en.srt (9.6 KB)
    • 003 Visualization Concepts.mp4 (61.9 MB)
    • 004 Introduction to Matplotlib.en.srt (23.4 KB)
    • 004 Introduction to Matplotlib.mp4 (123.0 MB)
    • 005 Creating Simple Plots using Matplotlib.en.srt (23.3 KB)
    • 005 Creating Simple Plots using Matplotlib.mp4 (120.5 MB)
    • 005 PythonDataVisualisations-Matplotlib-Seaborn.ipynb (8.3 MB)
    • 006 Creating Scatter Plots.en.srt (7.5 KB)
    • 006 Creating Scatter Plots.mp4 (29.5 MB)
    • 007 Creating Axis Limits.en.srt (8.6 KB)
    • 007 Creating Axis Limits.mp4 (33.7 MB)
    • 008 Parameterizing Plots.en.srt (11.3 KB)
    • 008 Parameterizing Plots.mp4 (51.8 MB)
    • 009 Creating Error Bars.en.srt (8.2 KB)
    • 009 Creating Error Bars.mp4 (37.6 MB)
    • 010 Plotting Histograms and Box Plots.en.srt (28.1 KB)
    • 010 Plotting Histograms and Box Plots.mp4 (135.6 MB)
    • 011 Plotting 2D Histograms.en.srt (12.9 KB)
    • 011 Plotting 2D Histograms.mp4 (70.1 MB)
    • 012 Marginal Histograms and Marginal Boxplots.en.srt (17.9 KB)
    • 012 Marginal Histograms and Marginal Boxplots.mp4 (101.2 MB)
    • 013 Working with Subplots.en.srt (12.2 KB)
    • 013 Working with Subplots.mp4 (57.9 MB)
    • 014 Stock Trend _ Time Series Plot and Annotations.en.srt (10.9 KB)
    • 014 Stock Trend _ Time Series Plot and Annotations.mp4 (58.5 MB)
    • 015 Plotting Images and Clustering.en.srt (24.6 KB)
    • 015 Plotting Images and Clustering.mp4 (126.8 MB)
    • 016 Creating 2D Contourplots for 3D Data.en.srt (8.9 KB)
    • 016 Creating 2D Contourplots for 3D Data.mp4 (59.1 MB)
    • 017 Creating 3D Plots including 3D Contours.en.srt (8.2 KB)
    • 017 Creating 3D Plots including 3D Contours.mp4 (37.6 MB)
    • 018 Stylesheets, rcParam and Custom Stylesheets.en.srt (7.6 KB)
    • 018 Stylesheets, rcParam and Custom Stylesheets.mp4 (36.9 MB)
    02 Advanced Visualisations using Business Applications
    • 001 Single and multiple Bar charts.en.srt (18.7 KB)
    • 001 Single and multiple Bar charts.mp4 (84.2 MB)
    • 002 Area and Stacked-Area Charts.en.srt (11.0 KB)
    • 002 Area and Stacked-Area Charts.mp4 (45.7 MB)
    • 003 Drawing Pie Charts.en.srt (12.5 KB)
    • 003 Drawing Pie Charts.mp4 (53.6 MB)
    • 004 Bubble Charts with Vectorisation of Properties.en.srt (10.5 KB)
    • 004 Bubble Charts with Vectorisation of Properties.mp4 (55.6 MB)
    • 005 Plotting Regression Lines with OLS (ML).en.srt (13.9 KB)
    • 005 Plotting Regression Lines with OLS (ML).mp4 (87.6 MB)
    • 006 Categorical Variables and Histograms (with EDA).en.srt (14.4 KB)
    • 006 Categorical Variables and Histograms (with EDA).mp4 (72.8 MB)
    • 007 Seaborn Boxplot, Violineplot, Categorical Scatterplot.en.srt (12.7 KB)
    • 007 Seaborn Boxplot, Violineplot, Categorical Scatterplot.mp4 (56.8 MB)
    • 008 Seaborn Slopeplots for Comparing Distributions.en.srt (11.0 KB)
    • 008 Seaborn Slopeplots for Comparing Distributions.mp4 (57.4 MB)
    • 009 Dumbellplot for Category-wise Value Movement.en.srt (9.2 KB)
    • 009 Dumbellplot for Category-wise Value Movement.mp4 (53.0 MB)
    • 010 Creating Heatmaps.en.srt (10.4 KB)
    • 010 Creating Heatmaps.mp4 (68.3 MB)
    • 011 Working with Pairplots.en.srt (8.4 KB)
    • 011 Working with Pairplots.mp4 (59.6 MB)
    • 012 Seasonal Trendcharts.en.srt (7.5 KB)
    • 012 Seasonal Trendcharts.mp4 (39.6 MB)
    • 013 Yearplot and Calendarplot for Color-Scaled Trends.en.srt (10.2 KB)
    • 013 Yearplot and Calendarplot for Color-Scaled Trends.mp4 (63.4 MB)
    • 014 Radarplot to Compare Scores of Multiple Parameters.en.srt (10.3 KB)
    • 014 Radarplot to Compare Scores of Multiple Parameters.mp4 (53.1 MB)
    03 Working with the Beautiful and Powerful Bokeh Library
    • 001 Introduction to Bokeh.en.srt (10.7 KB)
    • 001 Introduction to Bokeh.mp4 (52.7 MB)
    • 002 Creating Simple and Multiple Line Plots.en.srt (8.0 KB)
    • 002 Creating Simple and Multiple Line Plots.mp4 (37.3 MB)
    • 003 Customising your Plots.en.srt (3.2 KB)
    • 003 Customising your Plots.mp4 (15.8 MB)
    • 004 Creating Bubble Plots – Vectorising your Plot.en.srt (6.2 KB)
    • 004 Creating Bubble Plots – Vectorising your Plot.mp4 (28.9 MB)
    • 005 Working with Layouts – Row_Column_Grid.en.srt (8.3 KB)
    • 005 Working with Layouts – Row_Column_Grid.mp4 (38.0 MB)
    • 006 Using the ColumnDataSource Object.en.srt (4.7 KB)
    • 006 Using the ColumnDataSource Object.mp4 (23.3 MB)
    • 007 Applying Filters – IndexFilter, BooleanFilter, GroupFilter.en.srt (18.2 KB)
    • 007 Applying Filters – IndexFilter, BooleanFilter, GroupFilter.mp4 (88.3 MB)
    • 008 Widgets – Dynamic Plot Controls.en.srt (12.8 KB)
    • 008 Widgets – Dynamic Plot Controls.mp4 (68.6 MB)
    • 009 Plotting on a Google Map using Google Map API.en.srt (9.1 KB)
    • 009 Plotting on a Google Map using Google Map API.mp4 (63.0 MB)
    • 010 Closing Notes.en.srt (1.2 KB)
    • 010 Closing Notes.mp4 (15.2 MB)
    • 034 PythonDataVisualisations-Bokeh.ipynb (258.2 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Data Analytics: Python Visualizations

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.42 GB | Duration: 6h 24m
Learn more than 20 types of Data Visualizations through using the Matplotlib, Seaborn and Bokeh Libraries in Python
What you'll learn
Learn to draw over 20 different kinds of Charts and Graphs using Python coding.
Learn Data Analytics Techniques / Exploratory Data Analysis (EDA) using several Data Generation and Manipulation Methods.
Extensive applications of NumPy and Pandas Data capabilities using Python.
In depth coverage of Matplotlib, Seaborn and Bokeh Visualization Libraries.
Learn visualization concepts used by numerous Business and Scientific Applications.
Extensive amount of Python - Matplotlib/Seaborn/Bokeh code used in the course are attached as downloadable resources for you to try out while you learn.

Description
Data Analytics is given meaning by the ability of Visualizations. Any Data Analytics work always finish with Data Visualization.

A staggering amount of Data is generated by Businesses every day. Businesses need to use these data in a very meaningful ways to take decisions.

Data in its raw and voluminous form are not useful to Businesses. Visualizations come to the rescue to create powerful Graphs and Plots that help create meaning out of underlying Data.

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[ FreeCourseWeb ] Udemy - Data Analytics - Python Visualizations

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2.4 GB
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[ FreeCourseWeb ] Udemy - Data Analytics - Python Visualizations

Torrent hash: 0CEF7FE0EF6F5DBE0DF1BCA1A5EAB192F21430D0