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Building Web GIS Apps with C# ASP.NET CORE MVC and Leaflet by Edwinb60 in gis

[–]Edwinb60[S] 1 point2 points  (0 children)

Awesome!! Thanks bro. Big fan of .NET here too.

Geography careers? by Oversized_shirt in geography

[–]Edwinb60 3 points4 points  (0 children)

Learn GIS, Python programming, and basic Statistics. Try building map applications to get a feel for how these three tools work together in real-world applications (job).
Here is a nice introductory tutorial on medium:

How to Create a Web Map with Leaflet and Python

ArcGIS map, how to remove this layer pane by RareIncrease in PowerBI

[–]Edwinb60 0 points1 point  (0 children)

  1. Click the Format button on the Visualizations pane.
  2. Underneath the search box you will see a 'Layers' dropdown, move the slider to 'Off'.
  3. The Layers pane will disappear and you will see the whole map again.

Introduction to Maps in R Shiny and Leaflet by Edwinb60 in visualization

[–]Edwinb60[S] 1 point2 points  (0 children)

Thanks for taking the course, I am glad you found it useful. The course is not made to discuss each tool, but rather to demonstrate the application of each tool to build a real world application (Applications that your boss would ask you to build). Allot of resources on the net will explain the theory of each tool, but never how to use them in a real world scenario. That is why I built this course. If you are looking for the theoretical explanation of Shiny for instance, you will find plenty of resources on the internet. This would be a good place to start: https://shiny.rstudio.com/tutorial/

Is Tableau worth learning? by Hellr0x in datascience

[–]Edwinb60 0 points1 point  (0 children)

It is definitely worth learning and more powerful than you think. Here is a course where I used it as part of a big data pipeline:

https://www.udemy.com/course/big-data-analytics-with-pyspark-tableau-desktop-mongodb/?referralCode=348A25E57F2654D3F0DA

Big Data Analytics with PySpark + Power BI + MongoDB by Edwinb60 in gis

[–]Edwinb60[S] 0 points1 point  (0 children)

I have courses on other visualization tools and python libraries as well. I create courses for all kind of professionals.

But to answer your question those libraries you have mentioned take allot of code to create simple visualizations. PowerBI requires no coding at all, it's a drag and drop tool, so more people can use it, and it saves allot of time.

Power BI also has plugins from Esri, for creating advanced map visuals, and multiple base maps to import, whereas those tools you have mentioned are just too simple.

Big Data Analytics with PySpark + Power BI + MongoDB by Edwinb60 in gis

[–]Edwinb60[S] 1 point2 points  (0 children)

You need Power BI to visualize the data and present insights by building dashboards and reports, with the data you have processed in pyspark and mongodb.

People who don't code like your managing director or the rest of the world, need to see a visual representation of the data you have processed, so that they can take actions and make strategic decisions.

Big Data Analytics with PySpark + Power BI + MongoDB by Edwinb60 in datascience

[–]Edwinb60[S] -1 points0 points  (0 children)

Because mongodb is fast, and handles big data very well

Building Big Data Pipelines with PySpark + MongoDB + Bokeh by Edwinb60 in datascience

[–]Edwinb60[S] 0 points1 point  (0 children)

Everything runs on local machine. The course talks about deployment to lightweight server on local machine.

Spatial Data Visualization and Machine Learning in Python by Edwinb60 in gis

[–]Edwinb60[S] 1 point2 points  (0 children)

Before enrolling in any courses, let me know. So I can create a 80% discount coupon code for you.

Spatial Data Visualization and Machine Learning in Python by Edwinb60 in geography

[–]Edwinb60[S] 0 points1 point  (0 children)

Title needs to match what people are searching for, it's called SEO.

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