[TalkPython] Python Data Visualization Course

TalkPython – Python Data Visualization Course [FCO] About Have you ever been confused by all the different python plotting libraries? Have you tried to make a “simple” plot and gotten stuck and been unable to move forward? Do you want to make sophisticated, interactive data visualizations in python? If you answer yes, to any of […]

[Pluralsight] Elastic Stack Fundamentals – Learning Paths

  About This skill is intended to provide a foundational competence of the Elastic Stack. With this core knowledge in place, you will be able to leverage its capabilities and functions for security analysis, incident response, and threat hunting.   Description In this section, you will learn how to efficiently collect, analyze, and display information […]

[PacktPub] Splunk for Beginners: Make the Most of Machine Data Using Splunk [Video]

  Video Details ISBN 9781803242309 Course Length 5 hours 27 minutes   About Splunk offers extensive flexibility in the enterprise edition to help developers build robust applications. The development in Splunk path will equip you with the necessary knowledge and skills to build enterprise-grade applications by utilizing the best of what the platform has to […]

[NewLine] Fullstack D3 Masterclass

  The Fullstack D3 masterclass is the complete guide to D3. With dozens of code examples showing each step, you will gain new insights into your data by creating visualizations in this self-paced online course.   What You Will Learn How to build your first D3 chart Importance of information design How to integrate D3 […]

[DataCamp] SeaBorn Courses [Python]

-:SeaBorn Courses:-   Introduction to Data Visualization with Seaborn Course Description: Seaborn is a powerful Python library that makes it easy to create informative and attractive visualizations. This course provides an introduction to Seaborn and teaches you how to visualize your data using plots such as scatter plots, box plots, and bar plots. You’ll do […]

[Pluralsight] Interpreting Data Using Statistical Models with Python

By Janani Ravi This course covers techniques from inferential statistics, including hypothesis testing, t-tests, and Pearson’s chi-squared test, along with ANOVA, which is used to analyze effects across categorical variables and the interaction between variables. Course info Level: Beginner Updated: Oct 29, 2019 Duration: 2h 46m Description Data science and data modeling are fast emerging […]