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Crecimiento impulsado por datos: Cómo hacer crecer su negocio con datos

Visita Udemy para más información Desbloquea el potencial de tu negocio aprendiendo a integrar datos en cada aspecto de la toma de decisiones. Ya sea que busques refinar tus estrategias o renovar tus prácticas, este curso en Udemy está diseñado para equiparte con las herramientas necesarias para fomentar el crecimiento a través de datos. Sumé.
via Udemy

4160 Cursos


3 hours 33 minutes

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Resumen

Learn How to Adopt the Growth Mindset and Build a Successful Data-Driven Business What you'll learn:

How to adopt the data-driven growth mindsetTransform your company into a data-driven enterpriseDevelop the growth mindsetUnderstand the 3 levels of data maturityDiagnose the current state of affairs in your businessUncover business value by using dataStart making data-driven decisionsBuild a data-driven businessEnsure your business makes disciplined data-driven decisionsLeverage the power of A/B testing and experimentationAcquire the necessary budget to hire talent and invest in data infrastructureGet your business to data maturity level 3 What is data-driven decision making?Why is it essential for your business?How to take actionable steps to apply the growth mindset framework?By the end of this course, you will be able to answer these questions and will have a clear idea of how to transform your company into a data-driven enterprise.About the authorsTina Huang is one of the most popular data YouTubers with more than 350k subscribers. She holds a Master’s degree (Computer and Information Technology) from the University of Pennsylvania and has worked as a data scientist at Meta.Davis Balaba, PhD is a data science manager with significant experience in one of the MANGA companies.Why is this course different?The authors are not consultants who want to sell abstract ideas.

They are a pair of data science manager and data scientist who have actually implemented the strategies discussed in the course in their own work and seen the results. If you are a manager or a small business owner, you will know that strategy is crucial, but implementation is a whole other beast.

Davis and Tina are here to help you develop the growth mindset and help you start making data-driven decisions.The growth mindset frameworkWhat is the growth mindset? Why was it such a revolution?The growth mindset manifests itself in a culture of discontent of the current state.

The underlying assumption is that there is always more value to be uncovered and data is the path to unlock that value.What if our business does not have as much data as a large tech company?Growth is a mindset. Data fuels your growth thinkingYou don’t realize how much data you have until you start focusing on itThe course also provides actionable advice on how to get started on your data journey.

You don’t have to have big data to be data-driven.Why is the growth mindset important?This course is an amazing collection of videos that teach you how to approach data science work with a growth mindset. This mindset can be the key lever to grow your business.The growth mindset is important for three reasons:

Ensures that you always work on the most important problems firstHelps clarify what outcomes you can expectFocused on the desired end-result and encourages an execution mindsetHow will this course help you?You want to grow your company by trying to ensure it makes disciplined data-driven decisions.In the absence of prior data, the associated risk to a data science investment is assumed to be high.

When the associated risk is high, decision makers’ desire to invest is lower.Where does that leave you as a data scientist, a data science team, or a data science leader that is trying to accelerate your company’s data journey?This course will show you how approaching your work with a growth mindset can help you reduce the associated risk to data investment.Davis and Tina propose low-cost ways to de-risk the decision for the budget owner. In the process, you will acquire the budget to get the talent, skills, and the tools you need to fully unlock the value hidden in your data.Does the content of this course apply to all industries and verticals?The answer is yes.

In any vertical, in which you can have multiple challenges or multiple potential solutions (which is all businesses) coupled with limited resources, having a growth mindset will always help you prioritize better.How is the course structured?If this sounds a bit vague to you, no problem. Let’s be more concrete with full examples of what you can achieve at each stage of maturity.Assuming we can define three stages of data maturity (level 1, level 2, level 3), Tina and Davis will explain what the different stages look like (in case you are not sure which stage you are in) and discuss how to use the growth mindset in that stage and what you can accomplish using the data you have.Then the lessons will be hands-on and Davis would walk you through a full project, so you can see the exact steps in implementation.

At the end of each section, Tina will discuss, what are the steps you need to undertake to get to the next stage of data maturity.Sounds like one of the most valuable online courses you have come across, doesn’t it?Well then what are you waiting for?Buy the course now and get started on your data-driven journey today!

Programa

  • Introducción al Crecimiento Impulsado por los Datos
  • Visión general de la toma de decisiones basada en datos
    Importancia de los datos en los negocios modernos
    Historias de éxito del crecimiento basado en datos
  • Comprensión de los Datos: Tipos y Fuentes
  • Datos estructurados vs. datos no estructurados
    Fuentes de datos internas (CRM, datos de ventas, etc.)
    Fuentes de datos externas (tendencias de mercado, redes sociales, etc.)
  • Recolección e Integración de Datos
  • Métodos y herramientas de recolección de datos
    Almacenamiento e integración de datos
    Asegurando la calidad y precisión de los datos
  • Técnicas de Análisis de Datos
  • Análisis descriptivo e informes
    Análisis predictivo y pronósticos
    Análisis prescriptivo para la toma de decisiones
  • Herramientas y Tecnologías para el Análisis de Datos
  • Panorama de plataformas de análisis de datos (e.g., Excel, Power BI, Tableau)
    Introducción a los lenguajes de programación (e.g., Python, R)
    Uso del aprendizaje automático para obtener conocimientos empresariales
  • Construyendo una Cultura Basada en Datos
  • Fomentar la alfabetización en datos entre los empleados
    Gobernanza de datos y ética
    Estrategias de gestión de cambio para la adopción de datos
  • Estudios de Caso y Aplicaciones
  • Aplicaciones exitosas de estrategias basadas en datos en diversas industrias
    Lecciones aprendidas de fracasos basados en datos
  • Implementando Estrategias Basadas en Datos
  • Identificación de indicadores clave de desempeño (KPI)
    Construcción de una hoja de ruta impulsada por datos
    Monitoreo y mejora continuos
  • Desafíos y Tendencias Futuras
  • Desafíos comunes en la toma de decisiones basada en datos
    El futuro del big data y la IA en el crecimiento empresarial
    Tecnologías emergentes y su impacto
  • Conclusión y Próximos Pasos
  • Resumen de las conclusiones clave
    Recursos para un aprendizaje adicional
    Desarrollo de un plan de acción personal para el crecimiento basado en datos

Impartido por

365 Careers, Davis Balaba and Tina Huang


Materias

Business