30-days Money-Back Guarantee
Building an Analytics Dashboard to Analyze and Predict Quakes using Bokeh and Python
Updated on Sep, 2026
Programming, Data Science, Python
Duration - 4.5 hours
Training 5 or more people ?
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
Welcome to the 'Spatial Data Visualization and Machine Learning in Python' course.In this course we will be building a spatial data analytics dashboard using bokeh and python.
Bokeh is a very powerful data visualization library that is used for building a wide rangeof interactive plots and dashboards using the python programming language.It also converts python code into html and JavaScript code, which allows plots to behosted on servers and displayed in web browsers.
We be building a predictive model that we will use to do a further analysis, on our dataand plot it's forecast results alongside the dataset that we will be focusing on.
We will be visualizing our data in a variety of bokeh charts, which we will explore in depth.Once we understand each plot in depth, we will be equipped with the knowledge to build a dashboardthat we will use to analyze our data.
And once we have built our dashboard, we will then create a lightweight server that we will use toserve our dashboard and make it accessible via a URL.
You will learn how to visualize spatial data in maps and charts
You will learn data analysis using jupyter notebook
You will learn how to manipulate, clean and transform data
You will learn how to use the Bokeh library
You will learn machine learning with geospatial data
You will learn basic geo mapping
You will learn how to create dashboards
Who this course is for:
Data Transformation and Manipulation
Geospatial Machine Learning
Basic Understanding of Python
Little or no understanding of GIS
Basic understanding of Programming concepts
Basic understanding of Data
Basic understanding of what Machine Learning is
Check out the detailed breakdown of what’s inside the course
Big Data Engineering and Consulting, involved in multiple projects ranging from Business Intelligence, Software Engineering, IoT and Big data analytics. Expertise are in building data processing pipelines in the Hadoop and Cloud ecosystems and software development.
Currently consulting at one of the top business intelligence consultancies helping clients build data warehouses, data lakes, cloud data processing pipelines and machine learning pipelines. The technologies he uses to accomplish client requirements range from Hadoop, Amazon S3, Python, Django, Apache Spark, MSBI, Microsoft Azure, SQL Server Data Tools, Talend and Elastic MapReduce.
Use your certificate to make a career change or to advance in your current career.
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Master prominent technologies at full length and become a valued certified professional.