Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps

Monitoring & Observability are must have skills for Developers and DevOps professionals. This course provides a comprehensive overview of these concepts and teaches you the hands-on skills to employ monitoring, observability, and logging for your application.

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

Do you want to create intelligently designed reports? Well, this course is for you! Take your report design skills to the next level by learning the details of report layouts in SSRS.

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Power BI Reports are a great way for your data to tell a story, but everything starts with properly obtaining the data. This course will teach you how to ingest and transform external data with Power BI, as preparation for the DP-500 exam.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

Learn how to produce interactive web maps with ease using leaflet.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.