| 0 | 115.1 KB | ||
| 1. About Courses benefits.mp4 | 75.9 MB | ||
| 1. About Courses benefits.srt | 8.9 KB | ||
| 1 | 16.7 KB | ||
| 1. Data Pre-Processing.mp4 | 41.9 MB | ||
| 1. Data Pre-Processing.srt | 8.7 KB | ||
| 1. Datasets & Resources.html | 409.6 B | ||
| 1. HeatMap of Restaurants Density.mp4 | 90.4 MB | ||
| 1. HeatMap of Restaurants Density.srt | 9.8 KB | ||
| 1. How to extract Latitudes & Longitudes of a location.mp4 | 26.8 MB | ||
| 1. How to extract Latitudes & Longitudes of a location.srt | 4.3 KB | ||
| 1. Idea behind Choropleth Maps.mp4 | 35.9 MB | ||
| 1. Idea behind Choropleth Maps.srt | 4.6 KB | ||
| 1. Overview of Problem Statement.mp4 | 31 MB | ||
| 1. Overview of Problem Statement.srt | 2.4 KB | ||
| 1. Plot Deaths using Marker cluster.mp4 | 44.6 MB | ||
| 1. Plot Deaths using Marker cluster.srt | 5 KB | ||
| 2. Analyse Average Temperature of country.srt | 17.1 KB | ||
| 2. Choropleth Map for Confirmed Covid-19 Cases.mp4 | 62.8 MB | ||
| 2. Choropleth Map for Confirmed Covid-19 Cases.srt | 8.3 KB | ||
| 2 | 302.1 KB | ||
| 2. Analyse Average Temperature of country.mp4 | 102.5 MB | ||
| 2. Data Preparation For Spatial Analysis.mp4 | 40 MB | ||
| 2. Data Preparation For Spatial Analysis.srt | 5.6 KB | ||
| 2. Datasets & Resources.html | 204.8 B | ||
| 2. Extract Latitudes & Longitudes of Data.mp4 | 93 MB | ||
| 2. Extract Latitudes & Longitudes of Data.srt | 16.2 KB | ||
| 2. How to follow this course-Must Watch.mp4 | 8.4 MB | ||
| 2. How to follow this course-Must Watch.srt | 1.7 KB | ||
| 2. Idea Behind Marker Cluster.mp4 | 15.7 MB | ||
| 2. Idea Behind Marker Cluster.srt | 2.1 KB | ||
| 2. Idea behind Geographic Heatmap.mp4 | 14 MB | ||
| 2. Idea behind Geographic Heatmap.srt | 1.8 KB | ||
| 2. Reading Data of Covid-19.mp4 | 43.4 MB | ||
| 2. Reading Data of Covid-19.srt | 7.5 KB | ||
| 3. Analyse Existence of Global Warming.mp4 | 78.6 MB | ||
| 3. Analyse Existence of Global Warming.srt | 12.3 KB | ||
| 3. Choropleth Map of Particular continent.mp4 | 43.9 MB | ||
| 3. Choropleth Map of Particular continent.srt | 5 KB | ||
| 3. Fetch Geographical Co-ordinates of a country.mp4 | 54.7 MB | ||
| 3. Fetch Geographical Co-ordinates of a country.srt | 8.5 KB | ||
| 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 | ||
| 3. Geographic HeatMap of Confirmed Cases.mp4 | 35.9 MB | ||
| 3. Geographic HeatMap of Confirmed Cases.srt | 5.2 KB | ||
| 3. Installation of Anaconda Navigator.srt | 3.1 KB | ||
| 3 | 242.6 KB | ||
| 3. Installation of Anaconda Navigator.mp4 | 20.1 MB | ||
| 4 | 35.4 KB | ||
| 4. Automate Your Spatial Analysis.mp4 | 112.8 MB | ||
| 4. Automate Your Spatial Analysis.srt | 13.5 KB | ||
| 4. Idea behind Geographical Scatter plot.mp4 | 17 MB | ||
| 4. Idea behind Geographical Scatter plot.srt | 3.1 KB | ||
| 4. Idea behind Tileset,Raster & Vector Data.mp4 | 13.7 MB | ||
| 4. Idea behind Tileset,Raster & Vector Data.srt | 2.6 KB | ||
| 4. Visualise Average Temperature in Each Season.mp4 | 88.7 MB | ||
| 4. Visualise Average Temperature in Each Season.srt | 16.5 KB | ||
| 5. Analyse Trend In Temperatures for the Top Economies.srt | 8.6 KB | ||
| 5. Geographical Scatter plot for Confirmed Covid-19 Cases.mp4 | 58.6 MB | ||
| 5. Geographical Scatter plot for Confirmed Covid-19 Cases.srt | 8.2 KB | ||
| 5. Use-case of Markers.mp4 | 24.5 MB | ||
| 5. Use-case of Markers.srt | 2.9 KB | ||
| 5 | 468.3 KB | ||
| 5. Analyse Trend In Temperatures for the Top Economies.mp4 | 60.4 MB | ||
| 6. Perform Spatial analysis on Average Temperature of USA States.mp4 | 142 MB | ||
| 6 | 112.8 KB | ||
| 6. Perform Spatial analysis on Average Temperature of USA States.srt | 20 KB | ||
| 6. Plotting of Recovery using Choropleth & Geo Scatter plot.mp4 | 46.6 MB | ||
| 6. Plotting of Recovery using Choropleth & Geo Scatter plot.srt | 5.5 KB | ||
| 6. creating a base map.mp4 | 28.2 MB | ||
| 6. creating a base map.srt | 3.7 KB | ||
| 7. Plot Confirmed Cases using Markers.mp4 | 46.6 MB | ||
| 7. Plot Confirmed Cases using Markers.srt | 5.9 KB | ||
| 7. Plotting of Deaths using Choropleth & Geo Scatter plot.mp4 | 48.3 MB | ||
| 7. Plotting of Deaths using Choropleth & Geo Scatter plot.srt | 6.3 KB | ||
| 7 | 258.4 KB | ||
| 7. Visualise Average temperature of major Indian Cities.mp4 | 138.2 MB | ||
| 7. Visualise Average temperature of major Indian Cities.srt | 17.8 KB | ||
| 8 | 392.9 KB | ||
| 8. Perform Spatial Analysis on Average temperature of major Indian Cities.mp4 | 45.1 MB | ||
| 8. Perform Spatial Analysis on Average temperature of major Indian Cities.srt | 6 KB | ||
| 8. Plotting of Recovered & Deaths using Markers.mp4 | 34.3 MB | ||
| 8. Plotting of Recovered & Deaths using Markers.srt | 3.4 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| 9 | 130.1 KB | ||
| 10 | 237.3 KB | ||
| 11 | 133.9 KB | ||
| 12 | 392.6 KB | ||
| 13 | 266.7 KB | ||
| 14 | 198.4 KB | ||
| 15 | 436.7 KB | ||
| 16 | 438.5 KB | ||
| 17 | 433.2 KB | ||
| 18 | 419.4 KB | ||
| 19 | 79.9 KB | ||
| 20 | 72.2 KB | ||
| 21 | 84.5 KB | ||
| 22 | 511.8 KB | ||
| 23 | 73 KB | ||
| 24 | 97.4 KB | ||
| 25 | 193.9 KB | ||
| 26 | 45.9 KB | ||
| 27 | 297.9 KB | ||
| 28 | 165.2 KB | ||
| 29 | 48 KB | ||
| 30 | 388.4 KB | ||
| 31 | 463.8 KB | ||
| 32 | 332.6 KB | ||
| 33 | 475.7 KB | ||
| 34 | 294.1 KB | ||
| ▲ 112 total files | |||
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
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.6 GB | freecoursewb | 3 months | 2 | 15 | |
| 2.4 GB | freecoursewb | 2 years | 0 | 0 | |
| 782.4 MB | freecoursewb | 3 years | 0 | 0 | |
| 1.4 GB | freecoursewb | 3 years | 0 | 0 | |
|
Udemy - Learning Open Source GIS - Spatial SQL w - Postgres - PosGIS Posted by
freecoursewb in Other
|
2.5 GB | freecoursewb | 4 years | 0 | 0 |
All Comments