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[mitsumi]

Security Engineering: Asset Evaluation and Execution Plan

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Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 167.41 MB | Duration: 1h 10m 39s​

This course empowers you with the vital skills needed for asset inventory, management practices, and creating an execution plan.


Globomantics, a multi-billion-dollar tech innovator, has recently acquired several smaller companies. They have tasked their security team with determining the security posture of these newly acquired assets and the most effective methods to protect them. Your team has been assigned the responsibility of conducting a comprehensive evaluation of Globomantics' assets across their expanding infrastructure. The initial step involves establishing robust asset inventory and management practices.
In this course, Security Engineering: Asset Evaluation and Execution Plan, you will learn techniques to catalog all critical systems, applications, and data repositories, ensuring a thorough understanding of their asset landscape.
Following this, you will conduct thorough asset assessments to uncover potential weaknesses or misconfigurations that may expose Globomantics to cyber threats. This entails analyzing software versions, service configurations, access controls, and more across the identified assets.
Finally, based on your findings, you will create a detailed engineering execution plan outlining the necessary steps to address vulnerabilities and strengthen Globomantics' security posture. This plan will include implementing customized access controls, updating software, reconfiguring services, and establishing continuous monitoring processes.
The security of Globomantics' acquisitions relies on your ability to meticulously evaluate their assets, identify risks, and devise a robust security strategy.
When you are finished with this course, you will have the expertise in asset management, assessment, and execution planning to safeguard their newly acquired entities and establishing a resilient security architecture for their expanding enterprise.

Homepage:

https://www.pluralsight.com/courses/sec-engineering-asset-evaluation-execution-plan

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[mitsumi]

Security Engineering: Secure Endpoints

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Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 97.16 MB | Duration: 45m 3s​

Endpoint security is an important consideration when evaluating the overall security of your systems. This course will teach you how to harden and monitor Windows, Linux, and container endpoints.


Are you looking to secure Windows, Linux, and container endpoints on your network? In this course, Security Engineering: Secure Endpoints, you'll learn to harden and monitor endpoints on an enterprise network. First, you'll explore endpoint monitoring. Next, you'll discover endpoint and container hardening. Finally, you'll learn how to maintain file integrity. When you're finished with this course, you'll have the skills and knowledge of Security Engineering needed to configure secure endpoints.

Homepage:

https://www.pluralsight.com/courses/sec-engineering-secure-endpoints

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https://rapidgator.net/file/1fdff7d10cd61a7f267a03326ccfd8cb/faxwx.Security.Engineering.Secure.Endpoints.rar.html

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[mitsumi]

Simplified Machine Learning End To End™

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.01 GB | Duration: 7h 15m​

With Case Study This comprehensive course offers an in-depth journey into Machine Learning and Data Science


What you'll learn
Introduction to Machine Learning:- Understand the basics and types of Machine Learning.
ML Unsupervised Learning:- Learn the concepts and techniques of Unsupervised Learning.
Supervised Learning - Regression:- Master regression models for predicting continuous outcomes.
Evaluation Metrics for Regression Model:- Evaluate regression models using metrics like MSE, RMSE, and R-squared.
Supervised Learning - Classification in Machine Learning:- Learn classification algorithms for categorical predictions.
Supervised Learning - Decision Trees:- Understand how Decision Trees work for classification and regression.
Unsupervised Learning - Clustering:- Explore clustering techniques to group data points.
Unsupervised Learning - DBSCAN Clustering: Apply the DBSCAN algorithm for density-based clustering.
Unsupervised Learning - Dimensionality Reduction:- Learn techniques to reduce data dimensions while retaining key information.
Unsupervised Learning - Dimensionality Reduction with t-SNE:- Use t-SNE for visualizing high-dimensional data in a reduced form.
Model Evaluation and Validation Techniques:- Understand model validation methods like cross-validation.
Model Evaluation - Bias-Variance Tradeoffs:- Learn to balance bias and variance for improved model performance.
Introduction to Python Libraries for Data Science:- Get familiar with key Python libraries such as NumPy, Pandas, and Scikit-learn.
Introduction to Python Libraries for Data Science:- Explore advanced Python libraries used in data analysis and machine learning.
Introduction to R Libraries for Data Science:- Learn essential R libraries for data manipulation and modeling.
Introduction to R Libraries for Data Science Statistical Modeling:- Apply statistical modeling using R's powerful libraries.
Requirements
Basic Understanding of Mathematics Familiarity with linear algebra, probability, and statistics is helpful.
Basic Analytical and Problem-Solving Skills Ability to think critically and solve complex problems.
Anyone can learn this class it is very simple.
Description
This comprehensive course offers an in-depth journey into Machine Learning and Data Science, designed to equip students with the skills needed to build and evaluate models, interpret data, and solve real-world problems. The course covers both Supervised and Unsupervised Learning techniques, with a strong focus on practical applications using Python and R.Students will explore essential topics like Regression, Classification, Clustering, and Dimensionality Reduction, alongside key model evaluation techniques, including the Bias-Variance Tradeoff and cross-validation. The course also includes an introduction to powerful libraries such as NumPy, Pandas, Scikit-learn, and t-SNE, along with statistical modeling in R.Whether you're a beginner or looking to enhance your knowledge in Machine Learning, this course provides the foundation and advanced insights necessary to master data science tools and methods, making it suitable for aspiring data scientists, analysts, or AI enthusiasts.Introduction to Machine Learning:- Understand the basics and types of Machine Learning.ML Unsupervised Learning:- Learn the concepts and techniques of Unsupervised Learning.Supervised Learning - Regression:- Master regression models for predicting continuous outcomes.Evaluation Metrics for Regression Model:- Evaluate regression models using metrics like MSE, RMSE, and R-squared.Supervised Learning - Classification in Machine Learning:- Learn classification algorithms for categorical predictions.Supervised Learning - Decision Trees:- Understand how Decision Trees work for classification and regression.Unsupervised Learning - Clustering:- Explore clustering techniques to group data points.Unsupervised Learning - DBSCAN Clustering: Apply the DBSCAN algorithm for density-based clustering.Unsupervised Learning - Dimensionality Reduction:- Learn techniques to reduce data dimensions while retaining key information.Unsupervised Learning - Dimensionality Reduction with t-SNE:- Use t-SNE for visualizing high-dimensional data in a reduced form.Model Evaluation and Validation Techniques:- Understand model validation methods like cross-validation.Model Evaluation - Bias-Variance Tradeoffs:- Learn to balance bias and variance for improved model performance.Introduction to Python Libraries for Data Science:- Get familiar with key Python libraries such as NumPy, Pandas, and Scikit-learn.Introduction to Python Libraries for Data Science:- Explore advanced Python libraries used in data analysis and machine learning.Introduction to R Libraries for Data Science:- Learn essential R libraries for data manipulation and modeling.Introduction to R Libraries for Data Science Statistical Modeling:- Apply statistical modeling using R's powerful libraries.Courtesy,Dr. FAK Noble Ai Researcher, Scientists, Product Developer, Innovator & Pure Consciousness ExpertFounder of Noble Transformation Hub TM
Overview
Section 1: Introduction to Machine Learning
Lecture 1 Introduction to Machine Learning
Section 2: ML Unsupervised Learning
Lecture 2 ML Unsupervised Learning
Section 3: Supervised Learning- Regression
Lecture 3 Supervised Learning- Regression
Section 4: Evaluation Metrics for Regression Model
Lecture 4 Evaluation Metrics for Regression Model
Section 5: Supervised Learning- Classification in Machine Learning
Lecture 5 Supervised Learning- Classification in Machine Learning
Section 6: Supervised Learning- Decision Trees
Lecture 6 Supervised Learning- Decision Trees
Section 7: Unsupervised Learning- Clustering
Lecture 7 Unsupervised Learning- Clustering
Section 8: Unsupervised Learning DBSCAN Clustering
Lecture 8 Unsupervised Learning DBSCAN Clustering
Section 9: Unsupervised Learning- Dimensionality Reduction
Lecture 9 Unsupervised Learning- Dimensionality Reduction
Section 10: Unsupervised Learning- Dimensionality Reduction with t-SNE
Lecture 10 Unsupervised Learning- Dimensionality Reduction with t-SNE
Section 11: Model Evaluation and Validation Techniques
Lecture 11 Model Evaluation and Validation Techniques
Section 12: Model Evaluation- Bias-Variance Tradeoffs
Lecture 12 Model Evaluation- Bias-Variance Tradeoffs
Section 13: Introduction to Python Libraries for Data Science
Lecture 13 Introduction to Python Libraries for Data Science
Section 14: Introduction to Python Libraries for Data Science
Lecture 14 Introduction to Python Libraries for Data Science
Section 15: Introduction to R Libraries for Data Science
Lecture 15 Introduction to R Libraries for Data Science
Section 16: Introduction to R Libraries for Data Science Statistical Modeling
Lecture 16 Introduction to R Libraries for Data Science Statistical Modeling
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.

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https://rapidgator.net/file/d1967ea011778e92cc03900bc8040135/zdbig.Simplified.Machine.Learning.End.To.End.part1.rar.html
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[mitsumi]

Simplifie Sql Data Science For Data Scientist - Aiml Tm

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.31 GB | Duration: 4h 6m

Real time Case Study​

What you'll learn
Data Science Session:- Understand the foundational concepts and workflow of data science.
Data Science Session 2:- Dive deeper into key data science techniques and processes.
Data Science vs Traditional Analysis:- Learn the differences between data science methods and traditional data analysis.
Data Scientist:- Explore the role, responsibilities, and skills required to be a successful data scientist.
Introduction to SQL for Data Science:- Get familiar with SQL and its importance in data science for managing and querying data.
SQL Queries for Data Science:- Learn how to write basic SQL queries to manipulate and retrieve data.
SQL and Advanced Queries:- Understand more complex SQL queries for data analysis, including joins and subqueries.
Requirements
Basic Computer Skills:- Familiarity with using a computer and basic software applications.
No Prior SQL Experience Needed: This course is designed for beginners with no prior knowledge of SQL.
Description
The Introduction to SQL for Data Science - Data Scientist™ course is designed to equip students with essential SQL skills for managing and analyzing data in the context of data science. Whether you're new to SQL or looking to strengthen your data analysis skills, this course will guide you through the fundamentals and advanced techniques necessary to query and manipulate data effectively.Starting with basic SQL concepts, you'll learn how to write queries, retrieve information from databases, and work with large datasets. As you progress, the course covers more advanced SQL topics, including joins, subqueries, window functions, and query optimization. By the end, you'll understand how SQL integrates with data science workflows, enabling you to handle real-world data problems confidently.Ideal for aspiring data scientists, analysts, and professionals looking to add SQL to their skill set, this course will provide a solid foundation in data management and analysis with hands-on practice using SQL.Data Science Session:- Understand the foundational concepts and workflow of data science.Data Science Session 2:- Dive deeper into key data science techniques and processes.Data Science vs Traditional Analysis:- Learn the differences between data science methods and traditional data analysis.Data Scientist:- Explore the role, responsibilities, and skills required to be a successful data scientist.Introduction to SQL for Data Science:- Get familiar with SQL and its importance in data science for managing and querying data.SQL Queries for Data Science:- Learn how to write basic SQL queries to manipulate and retrieve data.SQL and Advanced Queries:- Understand more complex SQL queries for data analysis, including joins and subqueries.
Overview
Section 1: Data Science Session
Lecture 1 Data Science Session
Section 2: Data Science Session 2
Lecture 2 Data Science Session 2
Section 3: Data Science Vs Traditional Analysis
Lecture 3 Data Science Vs Traditional Analysis
Section 4: Data Scientist
Lecture 4 Data Scientist
Section 5: Introduction to SQL for Data Science
Lecture 5 Introduction to SQL for Data Science
Section 6: SQL Queries for Data Science
Lecture 6 SQL Queries for Data Science | AIML End-to-End Session 57
Section 7: SQL and Advanced Queries
Lecture 7 SQL and Advanced Queries
Section 8: SQL and Advanced Queries Part 2
Lecture 8 SQL and Advanced Queries Part 2
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.

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https://rapidgator.net/file/0826dee7a4c48fd36e68a43b6324b2a8/zldoe.Simplifie.Sql.Data.Science.For.Data.Scientist..Aiml.Tm.part1.rar.html
https://rapidgator.net/file/9832de9bb89003bef03c3adf3e984a5b/zldoe.Simplifie.Sql.Data.Science.For.Data.Scientist..Aiml.Tm.part2.rar.html

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[mitsumi]

Smart Goals

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 282.53 MB | Duration: 0h 55m

Be the exception​

What you'll learn
Learn the importance of a written goal that follows a proven formula to achieve meaningful goals.
Understand the SMART formula in goal creation, and why it's so impactful to goal attainment.
Create a SMART goal that is meaningful to you.
Incorporate helpful tips and additional success factors in attaining meaningful goals.
Requirements
There are no formal prerequisites recommended for this workshop, just a desire to direct your own life by attaining meaningful goals.
Description
Sometimes the day-to-day world we live in can push us in a direction we don't necessarily want to go. We may go in a direction that isn't quite right for us out of necessity or expediency or it just happens while we're busy living. For those of us who want to direct our own lives and create a future that makes us whole, authentic, and happy, it's necessary to set and attain goals for ourselves that are meaningful in our lives. This seems obvious, but the statistics show that only 3 percent of those people who set goals actually attain them. For those people who do attain their goals, they are 10x more likely to be successful. What is impactful aspect about being a person who set meaningful goals and attains them, is that you're living a life that is purposeful and relevant to you. You are more authentic and living the life you want to live. It reduces the randomness that often happens when we don't have a specific goal or intention. This workshop walks through a proven formula for attaining meaningful goals. It's the SMART formula. As part of this workshop, you will create a meaningful SMART goal that can move your life in the direction you want it to go. By the end of the workshop, you'll have a goal you can attain. You can begin to envision your future and the successes you want to experience. You can use this workshop to work through either a personal or a professional goal, as the formula can be used for any type of goal you have in mind.
Overview
Section 1: Introduction
Lecture 1 SMART Goals Introduction
Section 2: Three Common Types of Goals
Lecture 2 Three Common Types of Goals
Section 3: SMART Goals Formula
Lecture 3 SMART Goals Formula
Section 4: Specific
Lecture 4 S = Specific
Section 5: Measurable
Lecture 5 M = Measurable
Section 6: Achievable
Lecture 6 A = Achievable
Section 7: Relevant
Lecture 7 R = Relevant
Section 8: Time-Bound
Lecture 8 T = Time-Bound
Section 9: Written SMART Goal
Lecture 9 Written SMART Goal
Section 10: Recap
Lecture 10 Recap of SMART Goals and Helpful Hints
This workshop is intended for people who want to direct and lead their own lives. This is managed through attaining meaningful goals that will move toward the future envisioned for oneself. People who attain their goals are 10x more likely to experience success. However, most people do not attain their goals. This workshop is for people who are serious about attaining their important goals.

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https://rapidgator.net/file/f7b035f91cbbf77ec731b942c53d7913/slgfl.Smart.Goals.rar.html

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[mitsumi]

Spanish Pronunciation for Gringos

Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 38m | Size: 1.37 GB

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Speak Spanish Naturally: Master Sounds, Syllables, and Rhythm Clearly


What you'll learn
Master the key sounds of Spanish pronunciation to speak with greater clarity and accuracy.
Improve fluency by applying correct pronunciation to real-life conversations.
Distinguish between tricky sounds like the rolled and soft "R", and the various uses of "LL", "Y", and "G".
Understand regional pronunciation differences across Latin America and Spain to communicate more effectively with native speakers.
Requirements
No prior experience is necessary. This course is designed for beginners and intermediate learners alike. All you need is an interest in improving your Spanish pronunciation. A willingness to practice and an open mind are the only tools you'll need to succeed!
Description
Struggling with Spanish pronunciation? Do you feel like your accent is getting in the way of truly connecting with native speakers and fully expressing yourself in Spanish? You're not alone, and that's exactly why this course was created-to help you overcome those challenges and feel confident speaking Spanish with ease.This course is specifically designed for English speakers who want to sound more natural and fluent in Spanish. We'll guide you through breaking down the key sounds, vowels, and pronunciation rules that will make your Spanish clearer, more accurate, and easily understood by native speakers. From mastering the infamous rolled "R" to getting a handle on tricky sounds like "LL" and "Y," you'll gain the knowledge and practice needed to significantly improve your fluency and confidence. You'll also learn valuable pronunciation tips that will make your conversations flow more naturally.Imagine yourself effortlessly ordering food, asking for directions, or engaging in conversations with native speakers without worrying about being misunderstood. By the end of this course, you'll feel much more assured in your Spanish-speaking abilities and be able to communicate effectively, whether you're traveling, living abroad, or simply practicing for personal growth.Are you ready to transform your Spanish pronunciation? Let's get started today, and begin your journey toward speaking Spanish with clarity, fluency, and confidence.
Who this course is for
This course is for English-speaking learners who want to improve their Spanish pronunciation, whether you're a complete beginner or someone with basic conversational skills looking to refine your accent. It's ideal for travelers, expats, or anyone interested in speaking Spanish more clearly and confidently. If you want to sound more natural when communicating in Spanish, this course is for you!

Homepage:

https://www.udemy.com/course/spanish-pronunciation-for-gringos/

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https://rapidgator.net/file/a34de49876176a41cb22bb5fd9221833/ifbmi.Spanish.Pronunciation.for.Gringos.part1.rar.html
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[mitsumi]

The No Nonsense Guide to Java Spring Boot

Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 3m | Size: 1.4 GB

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Go from Java Developer to Backend Engineer using Java 17 + mySQL


What you'll learn
Java Spring Boot
Controller, Service, Repository layers
Exception Handling & Reponses
Validation
Query String Parameters, @Query, Search
JDBC, JPA, Hibernate, Spring Data, ORMs
Unit Testing
Headers
Relational Mappings
Logging
Cache
External API Integration
Spring Security (Basic Auth)
Spring Security (JWTs - JSON Web Tokens)
Dependecy Injection
Spring Boot Actuator
Transactions & @Transactional
Dependency Injection, Inversion of Control, Spring Container
Requirements
Proficient in Java 8
Description
This comprehensive course is designed to transition Java developers into proficient backend engineers by mastering the essentials of Spring Boot. Unlike other courses that dive into complex concepts before covering the basics, this course follows a hands-on, real-world approach. We focus on building practical applications using live production code techniques, modern Java abstractions, and clear naming conventions commonly used in industry projects.You'll start by understanding how Spring Boot works before diving into the why-giving you the tools to build solid foundations before exploring advanced topics. Whether you're new to Spring Boot or looking to solidify your backend skills, this course offers a straightforward, no-nonsense guide that covers all the essential components needed for building scalable, production-ready applications.What You Will Learn:Controllers, Services, Repositories, and Entities: Understand the core building blocks of Spring Boot applications, including how to set up RESTful APIs, business logic layers, and data access layers.Database Integration with MySQL: Learn how to run MySQL queries, set up database connections, and work seamlessly with relational databases.Exception Handling & Custom Error Responses: Master best practices for handling errors, defining custom error responses, and returning meaningful error messages in production.Input Validation: Implement input validation to ensure data integrity, and protect against invalid requestsSpring Data JPA & Custom Queries: Explore query string parameters, custom query methods with @Query, and interact with databases using Spring Data JPA.JDBC, JPA, and Hibernate: Learn the differences between JDBC and JPA, understand ORM (Object Relational Mapping) with Hibernate, and when to use each in your applications.Unit Testing: Write unit tests to ensure your code works as expected, covering both service and repository layers using tools like JUnit and Mockito.Working with HTTP Headers: Learn how to work with request and response headers, implement custom headers, and pass data effectively through API endpoints.Relational Mappings (OneToOne, OneToMany, ManyToMany): Understand how to model real-world relationships between entities in a relational database using JPA annotations.Logging: Implement effective logging strategies to track application behavior, debug issues, and monitor performance.Caching for Performance Optimization: Leverage caching strategies to improve application performance and scalability, including setting up default caching and custom cache eviction policies.External API Integration: Learn how to consume external APIs, handle authentication, and integrate third-party services into your Spring Boot application.Spring Security: Explore the built-in security mechanisms, set up Basic Authentication, and secure your applications with JWT (JSON Web Token) for token-based authentication.Dependency Injection & Inversion of Control (IoC): Gain a solid understanding of how Spring Boot manages dependencies and objects, ensuring modular and maintainable code.Monitoring with Spring Boot Actuator: Enable real-time monitoring of your application, track performance metrics, and expose health and status endpoints using Spring Boot's Actuator.Transactions & @Transactional: Manage database transactions, understand transactional boundaries, and ensure data consistency using Spring's @Transactional annotation.Advanced Java Concepts in Spring Boot: Delve into practical Java topics frequently used in Spring Boot applications, such as UUIDs for unique identifiers, event-driven programming, handling various return types, managing JSON data in MySQL, and implementing versioning for your APIs.
Who this course is for
Go from Java Developer to Backend Engineer using Spring Boot

Homepage:

https://www.udemy.com/course/no-nonsense-guide-to-java-spring-boot/

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rapidgator.net:

https://rapidgator.net/file/7df9b7bcb065253eeb383f039f43a6f3/pmokj.The.No.Nonsense.Guide.to.Java.Spring.Boot.part1.rar.html
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[mitsumi]

Time Management To Sell More And Earn More

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.90 GB | Duration: 2h 19m

A Time Management Course If You Don't Have Time To Learn​

What you'll learn
Find ways to improve your productivity and earnings
Easy fixes to get back more time to sell.
Use your own personal 'traits' to your advantage.
You'll have less stress and more time for enjoyment when you use these techniques.
Requirements
These are easy ways to fit these lessons into your everyday life.
No apps to download, no special requirements
Description
If you've ever laid in bed staring at the ceiling and can't sleep because you're worrying about the bills, you've come to the right course. Some of us are completely honest with ourselves and we know we've been wasting time doing "busy things" instead of focusing on our job - building an income. Others have no idea where the time went over the past week. Time just flew by and they have no clue how little they accomplished that week. Worse yet, that month. And yet, the rent is still due in a few days, as is the car payment, heat, hydro, taxes, insurance policies (life and car), and the little beads of sweat on your forehead aren't because you've been exercising. Let me help.In this course, you'll learn how to manage your time better. That's it. Time is the only asset you have and if you abuse it, it's going to cost you. If you control your time, you have more time to sell and that means you'll earn more. It's really that simple.So if you want to sell more, earn more money AND take pride in what you do, this is indeed the right place for you to be.
Overview
Section 1: Take Control of Your Most Valuable Asset
Lecture 1 Introduction
Section 2: Manage Your Time With Goals
Lecture 2 How Setting Goals will make you much more efficient.
Lecture 3 Prioritize your Time
Section 3: Procrastination
Lecture 4 You'll learn how easy it is to overcome procrastination
Lecture 5 You'll learn how easy it is to overcome procrastination.
Section 4: Save yourself time - DELEGATE!
Lecture 6 Learn how delegating some tasks will give you more time to sell and earn.
Section 5: Build a Ritual
Lecture 7 Doing your tasks in the same order every day makes your day more effective.
Section 6: Attending Meetings
Lecture 8 It's all about NOT WASTING YOUR TIME!
Section 7: Dealing With Time Barriers and Interruptions
Lecture 9 How to deal with interruptions to your selling time.
Section 8: The Finale!
Lecture 10 The benefits of good time management
Do you lay in bed at night staring at the ceiling wondering how you're going to fit everything you need to do into the next day.,If you're at work and you find yourself thinking about all the things you need to do at home, and when you get home, all you can think about is everything you need to do at work, this course is right for you.,You REALLY need this course if you feel like you could "explode" the next time someone says, "Hey, would you do this for me?"!

Screenshots​

rapidgator.net:

https://rapidgator.net/file/38d3f420994ec90a83c67cfb1ddfe75a/uxmuh.Time.Management.To.Sell.More.And.Earn.More.part1.rar.html
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[mitsumi]

Ultimate Copywriting Course For Beginners Start Copywriting

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 424.73 MB | Duration: 0h 44m

Start copywriting TODAY​

What you'll learn
the basics of copuwriting
how to write a copy
how to write an email marketing
Start copywriting today
Requirements
No experience needed
Description
I am making this course for me because when i wanted to start copywriting i was lost in tons of copywriting content, it was so frustating . tons of content that i needed and i have to watch before i start and if i dont watch it i feel like i am missiong out of something that can be interstingSo i was procrastinating a lot i wanted to start buy i dont know how even after watching all these videos i had no tangible idea that i can follow to actually start.. and i felt and overwhelming feeling and anxiety .. am i wasting my time ?So i made this course for you my friends to get you started i give you all the basincs that you need to actyally start this buisness today. You dont anymore information. You only need to go and excute what i taught you in this course and keep the ball rollingWhat i am aiming for is to get you started and make sure that you actually have some basics in your head to start writingThis course is for beginners who wanna start copywriting and they feel they dont know howWithout further ado i will see you inside the class
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 The basics of copywriting
Lecture 3 tools you need to become a copywriter
Lecture 4 Framework of your Copy that converts
Lecture 5 Homework
this course will SHOW YOU EVERYTHING YOU NEED TO KNOW

Screenshots​

rapidgator.net:

https://rapidgator.net/file/2ae9f48df8f3e58217a7df558c3e7395/wjteh.Ultimate.Copywriting.Course.For.Beginners.Start.Copywriting.rar.html

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[mitsumi]

Understand quality indicator for clinical laboratory

Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 13m | Size: 593 MB
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Establishing Quality indicators,Monitoring Quality indicators,practical statistical calculation for quality indicators


What you'll learn
understand the basic concepts and importance of quality indicators in a clinical laboratory setting, including their role in ensuring accurate results
Students will gain a thorough understanding of the ISO 15189:2022 standards, particularly the requirements related to implementation and management indicator
Students will learn how to establish and define appropriate quality indicators for different phases of laboratory processes, ensuring alignment with ISO 15189
Students will develop the skills to effectively monitor quality indicators, including identifying key performance metrics, setting benchmarks, and action plan
Students will acquire the knowledge needed to collect relevant data and perform statistical calculations for quality indicators.
Students will be able to generate comprehensive reports on quality indicators, conduct root cause analysis to identify issues, and develop action plans
Requirements
No any prior understandings of quality management system
Description
This comprehensive course provides in-depth training on the implementation and management of quality indicators in medical laboratories, fully aligned with ISO 15189:2022 standards. Designed for medical laboratory professionals, quality managers, and healthcare personnel, this course equips learners with the knowledge and tools necessary to ensure accurate, reliable, and compliant laboratory outcomes.Throughout the course, participants will learn how to define and monitor quality indicators across all phases of laboratory processes-pre-analytical, analytical, and post-analytical. Key topics establishing quality indicators, monitoring quality indicators, statistical calculation for all quality indicators ,include generating comprehensive quality reports, conducting root cause analysis, and developing action plans for continuous quality improvement.Participants will gain a strong foundation in statistical analysis, enabling them to assess performance metrics and track laboratory outcomes effectively over time. Additionally, the course emphasizes the importance of aligning laboratory practices with international standards, helping learners ensure compliance and meet accreditation requirements.By the end of the course, students will possess the practical skills to establish quality indicator in medical laboratory, to implement quality indicators, enhance laboratory performance, and foster a culture of continuous improvement in their organizations. Join us on this journey toward operational excellence and establish yourself as a leader in laboratory quality management.
Who this course is for
From basic to advanced

Homepage:

https://www.udemy.com/course/understand-quality-indicator-for-clinical-laboratory/

Screenshots​

Download link






rapidgator.net:

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[mitsumi]

Why Isn'T Solar Energy Powering Everything?

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.61 GB | Duration: 1h 15m

Understanding the sun and how we can use it to produce renewable energy to meet our needs.​

What you'll learn
Understand what we mean by solar energy production
Have an idea how solar energy production happens
Identify the different technologies used in producing energy from the sun
Identify the benefits and drawbacks of producing energy from the sun
Gain the knowledge to participate in informed discussions about how solar energy could and should be used
Requirements
Anyone with an interest in our futures and how we can produce and make use of clean energy will find this course useful.
Description
We're being urged to invest our time, money and future into clean energy for our homes and businesses. Solar power is a vital part of this clean energy future.But what is solar power? How does solar power work and what are its advantages and disadvantages. This course will help you to answer these questions while explaining why it isn't a complete solution to our current and future energy needs.Our reliance on fossil fuels to maintain our lifestyles is unsustainable. We're using them up and they cause much of the pollution we experience. For a large part of human history, we've powered our lives with renewable sources of energy, and we need to return to them but using clean, modern versions. Worldwide, the heat and light from the sun is one of the most important sources of clean, renewable energy.The course is presented using a blend of talking head and animation. We illustrate our points with images and case studies. Like all life, the course begins with the sun, which provides us with all the heat and light we need. We then examine how we can use this heat and light. To do this, we explore the four main solar technologies and their advantages and disadvantages.The course ends with a summary and a response to the question, why isn't solar energy powering everything? There's a quiz to check the knowledge you've acquired and a resource document for you to download.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 The Sun
Section 2: Generating Energy from the Sun
Lecture 3 Daylighting and Passive Solar Gain
Lecture 4 Solar Thermal Energy
Lecture 5 Advantages and Disadvantages of Solar Thermal Energy
Lecture 6 Solar Photovoltaic Power Part 1
Lecture 7 Solar Photovoltaic Power Part 2
Lecture 8 Advantages of Solar Photovoltaics
Lecture 9 Disadvantages of Solar Photovoltaics
Lecture 10 Concentrating Solar Power
Section 3: Course Conclusion
Lecture 11 Summary
Learners who are curious about renewable energy and what it means.,Learners who want to understand how solar energy can contribute to a clean energy future.,Learners who want to know why solar energy is not powering everything we do.

Screenshots​

rapidgator.net:

https://rapidgator.net/file/15e96e9cd159883bf997a9eee5b65056/mmcdg.Why.IsnT.Solar.Energy.Powering.Everything.part1.rar.html
https://rapidgator.net/file/e743a7ee63fe14ea11ca7aea3121cef1/mmcdg.Why.IsnT.Solar.Energy.Powering.Everything.part2.rar.html

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[mitsumi]

Windows 11 Essentials - Beginner

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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 457.62 MB | Duration: 0h 50m

Essential for making the most out of Windows 11​

What you'll learn
Navigate the Windows 11 Interface: Understand and utilize the centered Start menu, Taskbar, Widgets, and Settings panel to enhance user experience.
Utilize Taskbar Features: Master the new Taskbar functionalities, including Search, Teams Personal Chat, and Snap Assist, to improve productivity.
Optimize Workflow: Apply the knowledge of Windows 11 features to streamline daily tasks and workflows, leading to a more efficient computing experience.
Customize Windows 11 settings, themes, and layout options to create a personalized and user-friendly interface tailored to your preferences and needs.
Requirements
Basic computer skills and/or knowledge of Windows 10
Description
Welcome to Getting Started with Windows 11, where we embark on a journey to explore the sleek and innovative features of Microsoft's latest operating system. This course is designed for users transitioning from previous versions of Windows or those new to Windows altogether.In this course, we'll dive into the intuitive interface of Windows 11, designed to simplify user experience in a hybrid work environment. You'll learn about the centered Start menu, which offers a streamlined approach to accessing your pinned and recommended apps, as well as documents. We'll also cover the dynamic Taskbar, Widgets, and the new Settings panel, which together enhance productivity and ease of use.Our course will provide hands-on tutorials on managing the new Taskbar features, accessing Widgets, and creating custom desktops with Task View. You'll also learn how to effectively use Search, and Snap Assist to optimize your workflow.For those who love to multitask, we'll demonstrate the power of Snap Assist and how it revolutionizes window management. By the end of this course, you'll be well-equipped to navigate Windows 11 with confidence and take full advantage of its features to elevate your computing experience. Join us to unlock the full potential of Windows 11 and transform the way you interact with your PC.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Windows 11 Essentials
Lecture 2 Logging In and the Startup Screen
Lecture 3 Managing Accounts and Sign In Options
Lecture 4 Understanding the Lock Screen
Lecture 5 Start and the Task Bar
Lecture 6 General Navigation
Lecture 7 The Action Center and Control Panel
Lecture 8 Tablet Mode
Lecture 9 Interacting with Windows and Snap Groups
Lecture 10 Pinning Applications
Lecture 11 Utilizing Search
Lecture 12 Multitasking to Switch Between Multiple Applications
Lecture 13 Multiple Desktops
Lecture 14 Copilot in Windows 11
Lecture 15 Adding Local and Network Printers
Lecture 16 Accessing Task Manager
Lecture 17 Powering Down Your PC
Section 3: Conclusion
Lecture 18 Course Recap
Section 4: Windows 11 Essentials Assessment
Windows 11 users looking to get the most out of their operating system environment

Screenshots​

rapidgator.net:

https://rapidgator.net/file/7efb39ca42aa7a7f64e14f526bb1412e/lkcep.Windows.11.Essentials..Beginner.rar.html

ddownload.com:

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