Desafío Súper Profesionales 3.0 Exponencial



Desafío Súper Profesionales 3.0 Exponencial
MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: Spanish | Size: 16.8 GB | Duration: 12h 56m



What you'll learn
Gestión de recursos humanos
Derechos humanos
Desarrollo humano y profesional
Requirements
Personas con ganas de aprender

Description
La inteligencia humana va más allá de los aspectos cognitivos e intelectuales.

Existen muchos estudios que demuestran que las carencias en las habilidades de Inteligencia Emocional afectan a los seres humanos dentro y fuera del contexto social.

Las personas emocionalmente inteligentes no sólo son más hábiles para percibir, comprender y manejar sus propias emociones, sino también son más capaces de extrapolar sus habilidades de percepción, comprensión y manejo a las emociones de los demás.

Saber detectar, comprender y convivir con todas las emociones, miedo, tristeza, alegría, decepción.forma parte de la vida y como tal deberíamos de enseñar su manejo, donde las emociones no les impidan desarrollar la vida que les gustaría.

Un adecuado crecimiento personal ayuda a una estabilidad emocional que favorezca el desarrollo del resto de capacidades. Por eso es muy importante trabajar los siguientes aspectos:

La felicidad y entusiasmo.

El tiempo dedicado al desarrollo de habilidades humanas y profesionales.

Todas las habilidades relacionadas con el bienestar personal y colectivo, incluyendo la capacidad de comunicarse constructivamente en diferentes entornos, de mostrar respeto, de expresar y comprender puntos de vista diferentes, de negociar sabiendo inspirar confianza y de sentir empatía, son vitales para un buen crecimiento personal, ayudándoles a construir un proyecto de vida, sano y equilibrado.

El desarrollo de estas habilidades fomentan valores como la colaboración, la autoestima, la integridad y la honestidad.

Consciencia del ser humano de pertenecer a una comunidad y la sociedad en general.

Capacidad de emprendimiento e iniciativa.

Participación en actividades con el entorno.


Who this course is for:
Equipos de trabajo


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Aprendiendo a tocar la guitarra desde cero!



Aprendiendo a tocar la guitarra desde cero!
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: Spanish | Size: 11.3 GB | Duration: 8h 48m



What you'll learn
Los estudiantes van a aprender a tocar un instrumento, en este caso, la guitarra. Van a aprender las cuestiones esenciales y basicas que se necesitan tener en cuenta a la hora de tocar la guitarra
Requirements
Para este curso no se requieren conocimentos previos! El requisito mas importante es la constancia y la voluntad para practicar!

Description
Aprender un instrumento es sumamente difícil: Al principio sin importar lo mucho que practiques sentirás que no podras lograrlo, y eso es normal en casi todos los musicos, de hecho, yo lo he sentido.

Sin embargo cuando no pierdes la constancia en prácticar y en mejorar un poquito cada dia, esa sensación se ira desvaneciendo!

Como lo he dicho en muchas ocaciones: El camino de la musica, es de valientes! No solo por lo dificil que es, sino que sumale a aquellas personas con las que todos los musicos nos hemos cruzado, diciendonos "dedicate a otra cosa" "consiguete algo serio"

Ahora bien, una vez que cruzas la barrera de todas aquellas adversidades, sentiras que haces aquello que los artistas anhelamos: hacer musica

En este curso, mi objetivo es acompañarte en este aprendizaje, es por ello que ante las minimas inquietudes requerimos que por mensaje me consultes tus dudas, para asi poder ayudarte

Lo que se aprende en el curso es: Acordes (mayores, menores, acordes con séptima dominante), cambio de acorde (puesto que es una de las cosas que mas cuestan), rasgueos, canciones con los rasgueos aprendidos, cejilla y acordes con cejilla.

Este curso esta hecho especialmente para aquellos que recién se inician en este instrumento. Ahora si, te doy la bienvenida a este curso: "Aprendiendo guitarra, desde cero"


Who this course is for:
Personas que recién esten comenzando el camino de la musica, y que hallan elegido, dentro del ambito musical, aprender desde cero y sin conocimientos previos a tocar la guitarra


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2021 Data Science & Machine Learning with R from A-Z Course (Updated 1/2021)



2021 Data Science & Machine Learning with R from A-Z Course (Updated 1/2021)
Duration: 28h 39m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 12.4 GB
Genre: eLearning | Language: English

Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!

What you'll learn
Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
How to write complex R programs for practical industry scenarios
Learn data cleaning, processing, wrangling and manipulation
Learn Plotting in R (graphs, charts, plots, histograms etc)
How to create resume and land your first job as a Data Scientist
Step by step practical knowledge of R programming language
Learn Machine Learning and it's various practical applications
Building web apps and online, interactive dashboards with R Shiny
Learn Data and File Management in R
Use R to clean, analyze, and visualize data
Learn the Tidyverse
Learn Operators, Vectors, Lists and their application
Data visualization (ggplot2)
Data extraction and web scraping
Full-stack data science development
Building custom data solutions
Automating dynamic report generation
Data science for business

Requirements
Basic computer skills

Description
Welcome to the Learn Data Science and Machine Learning with R from A-Z Course!

In this practical, hands-on course you'll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.

The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.

We understand that theory is important to build a solid foundation, we understand that theory alone isn't going to get the job done so that's why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!

R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.

Together we're going to give you the foundational education that you need to know not just on how to write code in R, analyze and visualize data but also how to get paid for your newly developed programming skills.

The course covers 6 main areas:

1: DS + ML COURSE + R INTRO

This intro section gives you a full introduction to the R programming language, data science industry and marketplace, job opportunities and salaries, and the various data science job roles.

Intro to Data Science + Machine Learning

Data Science Industry and Marketplace

Data Science Job Opportunities

R Introduction

Getting Started with R

2: DATA TYPES/STRUCTURES IN R

This section gives you a full introduction to the data types and structures in R with hands-on step by step training.

Vectors

Matrices

Lists

Data Frames

Operators

Loops

Functions

Databases + more!

3: DATA MANIPULATION IN R

This section gives you a full introduction to the Data Manipulation in R with hands-on step by step training.

Tidy Data

Pipe Operator

dplyr verbs: Filter, Select, Mutate, Arrange + more!

String Manipulation

Web Scraping

4: DATA VISUALIZATION IN R

This section gives you a full introduction to the Data Visualization in R with hands-on step by step training.

Aesthetics Mappings

Single Variable Plots

Two-Variable Plots

Facets, Layering, and Coordinate System

5: MACHINE LEARNING

This section gives you a full introduction to Machine Learning with hands-on step by step training.

Intro to Machine Learning

Data Preprocessing

Linear Regression

Logistic Regression

Support Vector Machines

K-Means Clustering

Ensemble Learning

Natural Language Processing

Neural Nets

6: STARTING A DATA SCIENCE CAREER

This section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training.

Creating a Resume

Personal Branding

Freelancing + Freelance websites

Importance of Having a Website

Networking

By the end of the course you'll be a professional Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.


Who this course is for:
Students who want to learn about Data Science and Machine Learning

Homepage

Linkedin Learning Advanced Power BI Custom Visuals with d3 js-XQZT



Linkedin Learning Advanced Power BI Custom Visuals with d3 js-XQZT | MKV | 790.30 MiB

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Linkedin Learning Apache Kafka Essential Training Building Scalable Applications-XQZT



Linkedin Learning Apache Kafka Essential Training Building Scalable Applications-XQZT | MKV | 186.70 MiB

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Linkedin Learning Deep Learning Foundations Natural Language Processing with TensorFlow-XQZT



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Linkedin Learning Cisco Certified CyberOps Associate Cert Prep 1 Security Concepts-XQZT



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Linkedin Learning CSSLP Cert Prep The Basics-XQZT



Linkedin Learning CSSLP Cert Prep The Basics-XQZT | MKV | 171.57 MiB

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Linkedin Learning Python Pen Testing AWS-XQZT



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Linkedin Learning CISSP Cert Prep 2021 7 Security Operations-XQZT



Linkedin Learning CISSP Cert Prep 2021 7 Security Operations-XQZT | MKV | 527.34 MiB

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Linkedin Learning CISSP Cert Prep 2021 6 Security Assessment and Testing-XQZT



Linkedin Learning CISSP Cert Prep 2021 6 Security Assessment and Testing-XQZT | MKV | 448.92 MiB

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Linkedin Learning Using SABSA to Architect Cloud Security-XQZT



Linkedin Learning Using SABSA to Architect Cloud Security-XQZT | MKV | 177.21 MiB

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