Cours

Gratuit

Time Management for Professional Productivity

Leçon 1
16.8 heures
Novice
Ce que tu apprendras
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
Gratuit

Introduction to Web Development

4.5 heures
Novice
Ce que tu apprendras
Describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript
Apply essential programming language concepts w
Creating HTML forms, select an appropriate web hosting service
Publish your webpages for the world to see.
Be able to develop a working model for creating your own personal or business websites in the future
Fully prepared to take the next step in more advanced web development or design course or specialization.
-39%
Intermédiaire

Applying Data Analytics in Marketing

19.00 31.00 

Applying Data Analytics in Marketing

8.5 heures
Intermédiaire
Ce que tu apprendras
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 heures
Tous niveaux
Ce que tu apprendras
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.
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