Building Electrical Systems
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 3 lectures (1h 11m) | Size: 1 GB

(For Aspiring Energy Managers/Energy Auditors)

This is a course designed by Experienced Energy Auditors & Professionals to become Certified Energy Auditor
A thorough understanding of Energy management and Project management is provided.

Foundations of Statistics for Data Scientists: With R and Python

Foundations of Statistics for Data Scientists: With R and Python | English | 2021 | ISBN: ‎ 0367748452 | 486 pages | True PDF | 15.63 MB


Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.
The Effect: An Introduction to Research Design and Causality

The Effect: An Introduction to Research Design and Causality | English | December 21, 2021 | ISBN: 1032127457, 1032125780 | True PDF | 600 pages | 14.9 MB


The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams.