IT & Software
Showing 14173–14184 of 16328 results
![State of RxJS](https://edcroma.com/wp-content/uploads/2024/11/Pluralsight-788x788-1-300x300.jpg)
State of RxJS
RxJS core team member Ben Lesh will talk about upcoming pipeline features for RxJS, ecosystem projects, community updates, and what’s new in RxJS with Angular.
![Stateflow Onramp](https://edcroma.com/wp-content/uploads/2024/10/panel_stateflow-300x300.webp)
Stateflow Onramp
Learn the basics of creating, editing, and simulating state machines in Stateflow.
![Static analyzers](https://edcroma.com/wp-content/uploads/2024/10/Microsoft-Learning-788x791-1-300x300.jpg)
Static analyzers
This module introduces the static analyzers SonarCloud and CodeQL in GitHub.
![CognitiveClass](https://edcroma.com/wp-content/uploads/2024/12/CognitiveClass-300x300.avif)
Statistical analysis and Geo Visualization in Agriculture
Learn statistical analysis and geospatial visualization techniques for agricultural data. Use spatial data analysis to monitor crop yields, soil health, and other key metrics, applying Python and GIS tools to optimize farming practices and land management.
![CognitiveClass](https://edcroma.com/wp-content/uploads/2024/12/CognitiveClass-300x300.avif)
Statistical Analysis and Visualization for Marketing
Dive into statistical analysis and visualization techniques for marketing. Learn how to analyze customer data, visualize trends, and use statistical methods to make data-driven marketing decisions that drive business growth.
![Statistical Analysis with Matplotlib](https://edcroma.com/wp-content/uploads/2024/11/Pluralsight-788x788-1-300x300.jpg)
Statistical Analysis with Matplotlib
This course demonstrates how Python and Matplotlib are used to work on different statistical distributions. Standard charts like histograms, boxplots, and violinplots are used to display statistical distributions.
![Statistical Concepts Explained and Applied in R](https://edcroma.com/wp-content/uploads/2024/10/2022030110324013538-300x300.jpg)
Statistical Concepts Explained and Applied in R
Thoroughly understand statistical concepts, apply them in R and interpret the results correctly with maximum validity
![Statistical Simulation in Python](https://edcroma.com/wp-content/uploads/2024/10/DataCamp-1-788x788-1-300x300.jpg)
Statistical Simulation in Python
Learn to solve increasingly complex problems using simulations to generate and analyze data.
![Statistical Techniques in Tableau](https://edcroma.com/wp-content/uploads/2024/10/DataCamp-1-788x788-1-300x300.jpg)
Statistical Techniques in Tableau
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
![Statistical Thinking in Python (Part 1)](https://edcroma.com/wp-content/uploads/2024/10/DataCamp-1-788x788-1-300x300.jpg)
Statistical Thinking in Python (Part 1)
Build the foundation you need to think statistically and to speak the language of your data.
![Statistical Thinking in Python (Part 2)](https://edcroma.com/wp-content/uploads/2024/10/DataCamp-1-788x788-1-300x300.jpg)
Statistical Thinking in Python (Part 2)
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
![Statistics](https://edcroma.com/wp-content/uploads/2024/10/d15ae7614383cc9255845266a5b5589d87a5c163-1456x816-1-300x300.png)
Statistics
Delve into statistical theory and its applications in data analysis and research methodologies.