Data Visualization

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization

In this course, you will review strategies on how to build effective data visualizations and tell compelling stories about those visualizations that will convince and persuade your clients to act. During the course, you will learn how to select a data visualization that matches the context, audience and goal and create an engaging story that communicates how the data visualization meets the client’s needs.

Objectives:

• Identify the kinformation required for creating a data visualization.

• Identify appropriate visual types to use in a data visualization Lay out visual types to ensure audience attention is directed to what thneed to see.

• Determine if the data visualization accurately meets the client’s needs/goals.

• Determine whether a data visualization is telling the appropriate data story.

In this course, you will review strategies on how to verify the information you have and what questions to ask to help ensure message clarity. During the course, you’ll practice evaluating a data visualization using proven methodologies and delivering positive, collaborative feedback to your team or other colleagues

Objectives:

• Identify the kinformation required before critiquing a data visualization

• Identify whether the audience’s attention is directed to what thneed to see

• Identify whether the visual types used in a data visualization are appropriate

• Identify whether design elements are appropriate in a data visualization

• Identify factors to consider in order to determine whether a data visualization is telling the appropriate data story

• Recognize the aspects of providing feedback while critiquing a data visualization design

This is a series of webcast videos covering the following topics. • The Power of Analytics Visualization and Storytelling • Design Principles and Design Critique • Storytelling with Data Analytics • Showcasing Data Viz Community • Graphics for Analytics by TIBCO • Bringing Data to Life through Story by Cole Knaflic • Beyond Data Analysis – Creating Impact with Visual Insight by Tableau • Journfrom Data to Impactful Business Decisions by Microsoft Links for individual topics The Power of Analytics Visualization and Storytelling Design Principles and Design Critique Storytelling with Data Analytics Showcasing Data Viz Community Graphics for Analytics by TIBCO Bringing Data to Life through Story by Cole Knaflic Beyond Data Analysis – Creating Impact with Visual Insight by Tableau Journfrom Data to Impactful Business Decisions by Microsoft

In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer.

After completing this course, you will be able to:

1.Describe Visual Analytics tools

2.Identify EY offerings in Visual Analytics

3.Identify different types of Visual Analytics tools and their features

4.Explain analytics concepts like creating visualizations, adding filters, creating a dashboard etc.

5.Identify key strengths and limitations of Visual Analytics tools

Master 20+ Excel charts & graphs and build custom visuals with a best-selling Excel instructor (Excel 2016 - Excel 2019)

This course teaches the essential concepts required to effectively utilize the Spotfire visualization tool. This is a deep dive of the tool including reviewing visualization properties and interactive features, most common visualization types, data accessibility and export options.

In this course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping.