Data Science and Visualization for Business.
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Professionals from all sectors are identifying, analyzing, preparing and leveraging data to make smarter decisions on a daily basis. In this course, participants discover the basics of data science through data insights and visualization. Gain real-time guidance, feedback and professional insights from professors and experts from Google, Amadeus and McKinsey. With their help, students apply statistical concepts underlying data analytics to create meaningful displays that improve decision-making.
What will you learn in this program?
Using Excel and a variety of other software, you will apply a wide range of essential techniques to visualize data and leverage statistics for effective data summary and presentation. Alongside this, you will create projects to identify, understand, analyze, prepare and present visualization on a number of topics, while also discovering how to capitalize on story points and data dashboards using Tableau.
MODULE 0. INTRODUCTION
Receive an overview of program expectations, schedule, learning materials and outputs. Review tips and requirements to successfully complete the course.
MODULE 1. BREAKING THE ICE: EXPLORING DATA
Students are introduced to the importance of data science through two real-life examples: the Space Shuttle Challenger and Starbucks Tech in a Cup. They will learn basic data science terminology, processes and definitions. Later, they will get hands-on experience with data by working on a data set involving concession sales. This will allow them to develop their skills on Excel, learning useful functions and commands using a concession data set.
MODULE 2. DATA VISUALIZATION: THE BASICS
A graph often gives you a better understanding of a variable than looking at raw data. Students will learn the importance of data visualization, and how to build and interpret graphs for categorical and quantitative variables. With Excel, they will summarize data and see how different types of data and variables entail different organization/visualization methods. The module’s video uses Halloween data collected from trick-or-treaters in Cincinnati, OH.
MODULE 3. TURNING DATA INTO NUMERICAL INFORMATION: THE SCIENCE OF STATISTICS
Students will study how to accurately describe three key features of univariate data sets. They will learn how to identify and evaluate the impact of missing data and outliers. Some measures of bivariate data will be introduced. The problem of “lying with numbers” will be discussed. At this point, students will have acquired the knowledge necessary to identify situations in which statistics were used to misleadingly.
MODULE 4. TAKING VISUALIZATION TO THE NEXT LEVEL: TABLEAU
In the fourth module, students will learn how to create professional and interactive visualizations using Tableau software. This is a very practical module in which students will be introduced to the Tableau interface, in order to build sophisticated charts and create calculated fields using the US_flights data set, which involves U.S. airline flights from 2010 and 2011.
MODULE 5. THE ART OF DATA SCIENCE: DASHBOARDS AND STORYTELLING
Students will learn about dashboards and all they imply. They will learn how to create an interactive dashboard, and asked to evaluate different types and identify their key characteristics. The second part of this module is dedicated to the art of storytelling. Here, Tableau is used to create story points for particular messages. A full description of the final assignment is also provided.
Who should attend
- Individuals at all stages of their careers who are eager to embrace technology and recognize the increasing and immediate importance of data analytics in business decision-making
- Professionals who want to apply an understanding of data-driven models to their own business solutions
- Professionals keen to upskill in technical areas, changing the way they make decisions in uncertain work environments
- Those interested in a career in data science or any field requiring a foundation in data