Data Analytics

PROFESSIONAL LEVE

Data Analytics

 

Aprenderás los conceptos generales de las bases de datos luego trabajar sobre bases de datos relacionales. Implementarás como analista técnico y como usuario bases de datos relacionales por medio del lenguaje de consultas estructuradas (SQL). Diseñarás y desarrollarás tableros de control con la herramienta Power BI, utilizando DAX (Data Analysis Expressions),  Lenguaje M y Power Query. Al terminar el curso podrás desarrollar proyectos de data analytics como un analista integral, desde el relevamiento inicial hasta la creación de un tablero.

 

Idioma: Español

Live

11 semanas

Sobre el curso

n this course we’ll help validate your expertise with DevOps by covering a variety of topics such as provisioning, operating, and managing applications on the AWS platform. By the end of this course, you won’t just be prepared to sit for your AWS DevOps Engineer – Professional exam – you’ll also gain the advanced technical skills needed to become a DevOps subject matter expert.

This course will cover the core concepts for each of the 6 domains outlined in the AWS blueprint including:

  • SDLC Automation
  • Configuration Management and Infrastructure as Code
  • Monitoring and Logging
  • Policies and Standards Automation
  • Incident and Event Response
  • High Availability, Fault Tolerance, and Disaster Recovery

We’ll cement your knowledge in these domains by diving deep into individual services and best practices with clear and concise 5–20 minute lessons. Along with real-life examples, practical labs and more, we’ll walk you through each of the major development and operational domains of Amazon Web Services, step by step.

The ideal student for this course is ready to master the next level of the Amazon Web Services ecosystem and has already earned either the AWS Certified SysOps Administrator Associate or AWS Certified Developer Associate.

Lab Highlights

Working with CloudFormation Condition Functions
Creating an AWS CodeCommit Repository that Triggers Email Notifications

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Tomar el programa Python SQL.

 

What you can expect

  • Design and manage continuous delivery systems(CI/CD)and methodologies on AWS

  • Understand, implement, and automate security controls, governance processes, and compliance validation in AWS.

  • Design and implement monitoring, metrics, and logging systems on AWS

  • Implement systems that are highly available, scalable, and self-healing on the AWS platform

  • Design and maintain tools to automate operational processes

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Meet your instructor

Joel Hansen

Joel is a marketing advisor and LinkedIn storyteller that manages a client portfolio of 2 million followers and speaks to companies on the power of LinkedIn.

He’s given two TEDx talks on the impact of social media and storytelling, and he’s partnered with brands like Uber, Amazon, Slack, Microsoft, Adobe, Hootsuite, and Airbnb.

On LinkedIn, he produces content on an individual and corporate level that’s earned 10 million+ views, with some stories gaining 1 million+ impressions alone. His LinkedIn newsletter, the Personal Brand Brief, has over 17,000+ subscribers.

Start the bootcamp prepared!

Our Data Science course is very intense. To save time and nail it from the beginning, our students must complete an online preparation work before starting the bootcamp. This work takes around 40 hours and covers the basics of Python, the pre-requisite language of the course, and some mathematical topics used every day by data scientists.

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Statistical inferences

You’ll learn how to structure a Python repository with object-oriented programming in order to clean your code and make it re-usable, how to survive the data preparation phase of a vast dataset, and how to find and interpret meaningful statistical results based on multivariate regression models

Communication

Data analysts are meant to communicate their findings to non-technical audiences: You will learn how to create impact by explaining your technical insights and turn them into business decisions using cost/benefits analysis. You’ll be able to share your progress, present and compare your results to your teammates.

Cohort-Based Course

A new type of online course

Active Learning, not Passive Watching

Live online course, which means students are learning in real time via Zoom / Meet.

Teach with a Cohort of Peers

Learn with a cohort of peers

Practice and Feedback

You are a busy person. You can work things out when needed, but it’s important to give feedback and accountability to boost your students’ likelihood of success.

Tactics, Cheatsheets, and Frameworks

Not just theory and principles. Mentors share the best practices they use that they have seen work across industries.

Practice and Feedback

Fundamental skills cannot be learned by passively watching videos, they must be practiced. With live practices your students learn better

Próximas fechas

Octubre
13/10 al 29/12

Duración
23 clases
Lunes y Miércoles
de 18:30 a 20:30

Octubre
13/10 al 29/12

Duración
23 clases
Lunes y Miércoles
de 18:30 a 20:30

Octubre
13/10 al 29/12

Duración
23 clases
Lunes y Miércoles
de 18:30 a 20:30

Octubre
13/10 al 29/12

Duración
23 clases
Lunes y Miércoles
de 18:30 a 20:30
Introducción a la programación de Python

Programa Asíncrono

En este curso, aprenderá los fundamentos del lenguaje de programación Python, junto con las mejores prácticas de programación. Aprenderá a representar y almacenar datos usando tipos de datos y variables de Python, y a usar condicionales y bucles para controlar el flujo de sus programas. 

Nivel: Inicial

Nanodegree Data Engineer

Programa Asíncrono

Aprende a diseñar modelos de datos, crear almacenes de datos y lagos de datos, automatizar canalizaciones de datos y trabajar con conjuntos de datos masivos. Al final del programa, combinarás sus nuevas habilidades completando un proyecto final.

Nivel: Avanzado

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