Udemy - Spatial Analysis & Geospatial Data Science in Python

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Spatial Analysis & Geospatial Data Science in Python [TutsNode.com] - Spatial Analysis & Geospatial Data Science in Python 4. Zomato Spatial Analysis
  • 3. Generate Marker Cluster Analysis of Restaurants & Heatmap of Restaurant Ratings.mp4 (143.1 MB)
  • 3. Generate Marker Cluster Analysis of Restaurants & Heatmap of Restaurant Ratings.srt (18.7 KB)
  • 4. Automate Your Spatial Analysis.srt (13.5 KB)
  • 1. HeatMap of Restaurants Density.srt (9.8 KB)
  • 2. Idea Behind Marker Cluster.srt (2.1 KB)
  • 4. Automate Your Spatial Analysis.mp4 (112.8 MB)
  • 1. HeatMap of Restaurants Density.mp4 (90.4 MB)
  • 2. Idea Behind Marker Cluster.mp4 (15.7 MB)
5. --------------------Project 2-- Global Warming Analysis
  • 6. Perform Spatial analysis on Average Temperature of USA States.srt (20.0 KB)
  • 7. Visualise Average temperature of major Indian Cities.srt (17.8 KB)
  • 2. Analyse Average Temperature of country.srt (17.1 KB)
  • 4. Visualise Average Temperature in Each Season.srt (16.5 KB)
  • 3. Analyse Existence of Global Warming.srt (12.3 KB)
  • 5. Analyse Trend In Temperatures for the Top Economies.srt (8.6 KB)
  • 1. Datasets & Resources.html (0.2 KB)
  • 8. Perform Spatial Analysis on Average temperature of major Indian Cities.srt (6.0 KB)
  • 6. Perform Spatial analysis on Average Temperature of USA States.mp4 (142.0 MB)
  • 7. Visualise Average temperature of major Indian Cities.mp4 (138.2 MB)
  • 2. Analyse Average Temperature of country.mp4 (102.5 MB)
  • 4. Visualise Average Temperature in Each Season.mp4 (88.7 MB)
  • 3. Analyse Existence of Global Warming.mp4 (78.6 MB)
  • 5. Analyse Trend In Temperatures for the Top Economies.mp4 (60.4 MB)
  • 8. Perform Spatial Analysis on Average temperature of major Indian Cities.mp4 (45.1 MB)
1. Introduction
  • 2. How to follow this course-Must Watch.srt (1.7 KB)
  • 1. About Courses benefits.srt (8.9 KB)
  • 3. Installation of Anaconda Navigator.srt (3.1 KB)
  • 1. About Courses benefits.mp4 (75.9 MB)
  • 3. Installation of Anaconda Navigator.mp4 (20.1 MB)
  • 2. How to follow this course-Must Watch.mp4 (8.4 MB)
3. Perform Data Pre-Processing on Zomato
  • 2. Extract Latitudes & Longitudes of Data.srt (16.2 KB)
  • 1. Data Pre-Processing.srt (8.7 KB)
  • 2. Extract Latitudes & Longitudes of Data.mp4 (93.0 MB)
  • 1. Data Pre-Processing.mp4 (41.9 MB)
2. --------------------Project 1--Intro to Zomato use-case
  • 1. Overview of Problem Statement.srt (2.4 KB)
  • 2. Datasets & Resources.html (0.2 KB)
  • 1. Overview of Problem Statement.mp4 (31.0 MB)
8. Covid-19-- Interactive Geospatial Data visaulisation
  • 3. Fetch Geographical Co-ordinates of a country.srt (8.5 KB)
  • 7. Plot Confirmed Cases using Markers.srt (5.9 KB)
  • 2. Data Preparation For Spatial Analysis.srt (5.6 KB)
  • 1. How to extract Latitudes & Longitudes of a location.srt (4.3 KB)
  • 6. creating a base map.srt (3.7 KB)
  • 8. Plotting of Recovered & Deaths using Markers.srt (3.4 KB)
  • 5. Use-case of Markers.srt (2.9 KB)
  • 4. Idea behind Tileset,Raster & Vector Data.srt (2.6 KB)
  • 3. Fetch Geographical Co-ordinates of a country.mp4 (54.7 MB)
  • 7. Plot Confirmed Cases using Markers.mp4 (46.6 MB)
  • 2. Data Preparation For Spatial Analysis.mp4 (40.0 MB)
  • 8. Plotting of Recovered & Deaths using Markers.mp4 (34.3 MB)
  • 6. creating a base map.mp4 (28.2 MB)
  • 1. How to extract Latitudes & Longitudes of a location.mp4 (26.8 MB)
  • 5. Use-case of Markers.mp4 (24.5 MB)
  • 4. Idea behind Tileset,Raster & Vector Data.mp4 (13.7 MB)
7. Spatial Analysis on Covid-19
  • 2. Choropleth Map for Confirmed Covid-19 Cases.srt (8.3 KB)
  • 5. Geographical Scatter plot for Confirmed Covid-19 Cases.srt (8.2 KB)
  • 7. Plotting of Deaths using Choropleth & Geo Scatter plot.srt (6.3 KB)
  • 6. Plotting of Recovery using Choropleth & Geo Scatter plot.srt (5.5 KB)
  • 3. Choropleth Map of Particular continent.srt (5.0 KB)
  • 1. Idea behind Choropleth Maps.srt (4.6 KB)
  • 4. Idea behind Geographical Scatter plot.srt (3.1 KB)
  • 2. Choropleth Map for Confirmed Covid-19 Cases.mp4 (62.8 MB)
  • 5. Geographical Scatter plot for Confirmed Covid-19 Cases.mp4 (58.6 MB)
  • 7. Plotting of Deaths using Choropleth & Geo Scatter plot.mp4 (48.3 MB)
  • 6. Plotting of Recovery using Choropleth & Geo Scatter plot.mp4 (46.6 MB)
  • 3. Choropleth Map of Particular continent.mp4 (43.9 MB)
  • 1. Idea behind Choropleth Maps.mp4 (35.9 MB)
  • 4. Idea behind Geographical Scatter plot.mp4 (17.0 MB)
6. --------------------Project 3 -- Intro to Covid-19 Project--------------------
  • 2. Reading Data of Covid-19.srt (7.5 KB)
  • 1. Datasets & Resources.html (0.4 KB)
  • 2. Reading Data of Covid-19.mp4 (43.4 MB)
9. Covid-19-- Advanced GeoSpatial Analysis
  • 3. Geographic HeatMap of Confirmed Cases.srt (5.2 KB)
  • 1. Plot Deaths using Marker cluster.srt (5.0 KB)
  • 2. Idea behind Geographic Heatmap.srt (1.8 KB)
  • 1. Plot Deaths using Marker cluster.mp4 (44.6 MB)
  • 3. Geographic HeatMap of Confirmed Cases.mp4 (35.9 MB)
  • 2. Idea behind Geographic Heatmap.mp4 (14.0 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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    • Description


      Description

      Geospatial data science is a subset of data science that focuses on spatial data and its unique techniques. In this, we are going to perform spatial analysis and trying to find insights from spatial data. In this course, we lay the foundation for a career in Geospatial Data Science. You will get hands-on Geopy, Plotly etc.. the workhorse of Geospatial data science Python libraries.

      The topics covered in this course widely touch on some of the most used spatial technique in Geospatial data science. We will be learning how to read spatial data , manipulate and process spatial data using Pandas , and perform some spatial operations. A large portion of the course deals with spatial Visuals like Choropleth, Geographical Scatter plot, Geographical Heatmap, Markers, Geographical HeatMap. Each video contains a summary of the topic and a walkthrough with code examples that will help you learn more effectively.

      Who this course is for:

      Students who want to become Data Scientist by show-case these Projects on his/her Resume..
      Students who like to take their first steps in the Geospatial data science career.
      Python users who are interested in Spatial Data Science.
      GIS users who are new to python and Jupyter notebooks for Geographic data analysis…

      Who this course is for:

      One who is curious about DataScience

      Requirements

      No GIS knowledge is required. We will give breif theoretical explanation as well as its practical implementation

      Last Updated 2/2021



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Udemy - Spatial Analysis & Geospatial Data Science in Python


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Udemy - Spatial Analysis & Geospatial Data Science in Python


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