Scrum Master Professional -1

Climate change is the defining challenge of our time — and carbon footprint measurement is at the heart of sustainable solutions. This comprehensive course will guide you through the fundamentals of greenhouse gases, their global warming potential, and the science behind carbon footprints. You’ll explore how emissions are generated across sectors, how to calculate footprints for individuals, families, and industries, and how to implement strategies for reduction.Through real-world case studies and practical calculations, you will learn how to assess Scope 1, Scope 2, and Scope 3 emissions, quantify industry-specific footprints, and apply internationally recognized frameworks like the Paris Climate Agreement and IPCC guidelines.By the end of this course, you will not only understand carbon accounting but also gain the skills to measure, manage, and reduce emissions effectively — making you an asset in sustainability-driven industries.What You Will LearnThe Greenhouse Effect and human activities driving emissionsGlobal Warming Potential (GWP) and atmospheric lifetime of major GHGsDefinition calculation of a carbon footprintCarbon emissions by sector, top global emitters, and country comparisonsParis Climate Agreement goals and IPCC report findings (rich vs poor nations)Carbon footprint of fuels: diesel, petrol, LPG, coal-based electricity, and aviationStep-by-step methods to calculate family and industry footprintsScope 1 (direct), Scope 2 (indirect), and Scope 3 (value chain) emissions explainedPractical case studies:Family household carbon footprintIndustrial

This comprehensive course is designed to equip learners with the knowledge and practical skills required to design, analyze, and financially evaluate hybrid rooftop solar systems. From estimating power demand to selecting system components, from 3D modeling in Google SketchUp to financial feasibility studies, this course offers a 360° learning experience in hybrid solar project design.Learners will not only master the technical aspects but also gain hands-on exposure to tools like Google SketchUp for shadow analysis and NREL’s PVWatts software for power estimation. The course emphasizes real-world applications, enabling students to prepare a complete design, bill of materials (BOM), and financial model for a hybrid rooftop solar project.Whether you are an aspiring renewable energy engineer, a solar entrepreneur, or a professional seeking to expand your expertise, this course provides a career-defining skill set in one of the fastest-growing global industries.Learning OutcomesBy the end of this course, students will be able to:Understand the fundamentals of hybrid rooftop solar systems and their applications.Estimate power demand (manually and using PVWatts software).Perform 3D modeling & shadow analysis using Google SketchUp.Select appropriate solar panels, inverters, batteries, and balance-of-system components.Prepare a Bill of Materials (BOM) for procurement.Conduct financial modeling (CAPEX, OPEX, payback period, IRR, NPV).Design optimal hybrid systems integrating grid, solar, and storage solutions.Gain insights into operation, maintenance, and project feasibility studies</

1: Getting started with R2: Setting up your R environment, data types and structures, loading and installing packages3:Data exploration:Reading and writing data files, looking into data, basic graphs and basic statistics4:Introduction to common packages (tidyr,dplyr, ggplot2,reshape2,ggthemes,ggpubr, RColorBrewer, psych,corrplot, Hmisc)5:Statistical tests in R:Statistical tests are applied according to the data and your questions.ANNOVA test is used to test the means of the groups.One-way ANOVATwo-way ANOVATwo-Sample t-TestChi-squared test Wilcoxon test Kruskal-Wallis test Pearson Correlation Test Spearman Correlation Test Kendall Correlation TestFriedman TestMann-Whitney U Test6:Graphics with R:hist() function used to create Histograms.boxplot() function for creating Boxplots.Pie charts can be created by using a simple function pie() stripchart() function can be used for Strip charts.barplot() function used for Bar plots in R.7:Creating reproducible reports in RThis is very important for R code integration and reports. We want to share our reports with Classfellows, collaborators or instructors.Then, the R Markdown file can help us to recognise and compile the basic components of reports.Create the R Markdown file to submit your results in PDF, Word, or HTML using Knit.

Over the past several years, a significant number of new PLS path modeling (PLS-PM) approaches, techniques, and capabilities have been published in the leading academic and scientific journals. As a methodological field, variance-based path modeling with latent variables has witnessed more new, published technological advancements and developments than in the preceding two decades. This 7-session course teaches many of these new concepts and how to specify and model them with various PLS path modeling softwares available today. All of the demonstrated softwares, some as trial versions, are freely available to use as of the publication date of this Udemy course. Use the convenient new over-the-Internet PLS-GUI "Software as a Service" (SaaS) path modeling software platform with the capability to perform PLS-PM from any computer in the world using only a browser. Securely access, upload and/or download, and reliably estimate your PLS data files and/or modify and manipulate your PLS project and model files from any computer in the world. In addition to providing the convenience and speed of using the PLS-GUI SaaS platform, the workshop also instructs with respect to using the new ADANCO composite modeling PLS software which participants may install on their Windows or Mac computer. This is a "hands-on" course which explains the basis of many new PLS path modeling estimation capabilities and features, and which then proceeds to demonstrate numerous examples of these new capabilities and features using various PLS path modeling packages. All of the demonstrated software, some as trial versions, are freely available to use as of the publication date of this course. New PLS-PM capabilities and features which are explained and demonstrated include consistent PLS and non-linear PLS algorithm estimation, N-group multi-group analysis (MGA), prediction-oriented segmentation (PLS-POS) and genetic-algorithm segmentation (PLS-GAS), and new visualizations for illustrating latent

Introduction to Control Valves;Process Control TerminologyProcess Control Valves for oil gas,power,petro-chemicals-Sliding-Stem Control Valve TerminologyControl Valve FunctionsControl Valve Performance and Characteristics Throttling/Modulating Type Globe type;Ball valve;Butter fly valve; Construction; Major parts; Sizing Equations valve flow coefficient Cv definition ;Cv determinants;valve charecteristics; ANSI valve leakage class; Sizing Software; Installation Data,process data,Cv calculations, Selection of valve,port area,valve travel, Noise limitations ;Actuators; Pneumatic actuators; I/P converter, valve positioner. Electric Actuators,Hydraulic Actuators ;Process Control TerminologyAccessory: A device that is mounted on the actuator to complement the actuator’s function and make it a complete operating unit. Examples include positioners, supply pressure regulators, solenoids, and limit switches.;Actuator*: A pneumatic, hydraulic, or electrically powered device that supplies force and motion to open or close a valve. Actuator Assembly: An actuator,including all the pertinent accessoriesthat make it a complete operating unit.Backlash: The general name given to a form of dead band that results from a temporary discontinuity between the input and output of a device when the input of the device changes direction. Slack, or looseness of a mechanical connection is a typical example.Capacity* (Valve): The rate of flow through a valve under stated conditions.Closed Loop: The interconnection of process control components such that information regarding the process variable is continuously fed back to the controller set point to provide continuous automatic corrections to the process variable.Controller: A device that operates automatically by use of some established algorithm to regulate a controlledvariable. The controller input receives information about the status of the process variable and then providesan appropriate output signal to the final control element.

Meta-analysis is a powerful statistical technique that allows researchers to synthesize and integrate findings from multiple studies, providing a more comprehensive and accurate understanding of a research topic. Whether you're a graduate student, academic researcher, or industry professional, this course will provide you with a thorough understanding of the principles and practical skills needed to conduct and interpret meta-analyses.Master the Principles and Practical Skills of Conducting Meta-AnalysesUnderstand the purpose, benefits, and limitations of meta-analysisLearn how to conduct a systematic literature review and identify relevant studies for inclusionExtract data from primary studies and calculate effect sizes with confidencePerform meta-analyses using both fixed-effect and random-effects modelsAssess heterogeneity and conduct moderator analyses to explore sources of variationReport meta-analytic results and interpret their practical and theoretical implicationsIncorporate open science practices and utilize online resources for collaboration and data sharingWhat You’ll Learn in This CourseIn this course, you'll gain a deep understanding of the core principles of meta-analysis, starting with its purpose, benefits, and limitations. You'll learn how to conduct a systematic literature review to identify relevant studies and extract data for analysis. We’ll cover the key techniques for performing meta-analyses using both fixed-effect and random-effects models, as well as how to assess heterogeneity and explore sources of variation through moderator analyses.You'll also learn how to report meta-analytic results and interpret their implications for both practical and theoretical contexts. With a focus on open science practices, you'll understand how to utilize online resources for collaboration and data s