Providing crisp, clear, actionable points-of-view to senior executives is becoming an increasingly important role of data scientists and data professionals these days. In this course, Communicating Data Insights you will gain the ability to summarize complex information into such clear and actionable insights. First, you will learn how to sum up the important descriptive statistics from any numeric dataset. Next, you will discover how to build and use specialized visual representations such as candlestick charts, Sankey diagrams and funnel charts in Python. You will then see how the data behind such representations can now be fed in from enterprise-wide sources such as data warehouses and ETL pipelines. Finally, you will round out the course by working with data residing in different public cloud platforms, and even in a hybrid environment, that is with some of it on-premise and some of it on the cloud. When you’re finished with this course, you will have the skills and knowledge to pull together data from disparate sources and use nifty visualizations to convey crisp, actionable points-of-view to a senior executive audience.
Author Name: Janani Ravi
Author Description:
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing … more

Table of Contents

• Course Overview
  1min
• Communicating Insights from Statistical Data
  36mins
• Communicating Insights from Business Data
  37mins
• Visualizing Distributions and Relationships in Data
  22mins
• Integrating Data in a Multi-cloud Environment
  28mins
• Integrating Data in a Hybrid Environment
  21mins