management Cursos

Encontramos 20 Cursos disponĂ­vel para vocĂŞ
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Time Management for Professional Productivity

1 lição
16.8 horas
Iniciante

In this Specialization, you will understand how investment strategies are …

O que vocĂŞ vai aprender
Learn to plan effectively to achieve your personal and professional goals
Learn to recognize and overcome barriers to successful time management
Identify specific time management tools and use them effectively
Manage resources both effectively and efficiently
Keep your sense of perspective to prevent and manage crises
Learn to delegate effectively
Learn to manage expectations and say “No” when appropriate
Livre

Analytic Techniques for Business Specialization

2.5 horas
Intermediário

In this Specialization, you’ll learn to frame business challenges as …

O que vocĂŞ vai aprender
Helps to predict performance
Increased the retention rates
Boost in cost efficiency

Applying Data Analytics in Marketing

8.5 horas
Intermediário

This course introduces students to the science of business analytics …

O que vocĂŞ vai aprender
Get the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.
Identify the ideal analytic tool for their specific needs
Understand valid and reliable ways to collect, analyze, and visualize data
Utilize data in decision making for their agencies, organizations or clients.

Survey analysis to Gain Marketing Insights

18.8 horas
Todos os nĂ­veis

How do consumers see your brand relative to your competitors? …

O que vocĂŞ vai aprender
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.