Time Management for Professional Productivity
In this Specialization, you will understand how investment strategies are …
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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
Mastering the selling process
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Create several sales necessary tools that are essential to becoming a high-performer in sales. These tools are based around the foundation of knowledge, skill and discipline.
Each tool makes up the Sales Toolkit, which is a living document to guide you through each and every step of the sales process.
Analytic Techniques for Business Specialization
In this Specialization, you’ll learn to frame business challenges as …
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Helps to predict performance
Increased the retention rates
Boost in cost efficiency
Applying Data Analytics in Marketing
This course introduces students to the science of business analytics …
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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
How do consumers see your brand relative to your competitors? …
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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.