Communicating Data Insights

This course covers the key statistical and technical tools needed to convey clear, actionable insights from data to senior executives, including the use of powerful visualizations such as Sankey diagrams, funnel plots and candlestick plots.
Course info
Rating
(13)
Level
Advanced
Updated
Jun 21, 2019
Duration
2h 26m
Table of contents
Course Overview
Communicating Insights from Statistical Data
Communicating Insights from Business Data
Visualizing Distributions and Relationships in Data
Integrating Data in a Multi-cloud Environment
Integrating Data in a Hybrid Environment
Description
Course info
Rating
(13)
Level
Advanced
Updated
Jun 21, 2019
Duration
2h 26m
Description

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.

About the author
About the author

A problem solver at heart, 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.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi. My name is generally Ravi, and welcome to the scores on communicating eight. Our insights a little about myself. I have a master's degree in electrical engineering from Stanford and have a look at companies such as Microsoft, Google and Flip Card at Google was one of the first engineers working on real time collaborative editing. Google Dogs and I hold four patterns for its underlying technologies. I currently work on my own start up lunatic on a studio for high quality video content. Providing Chris clear, actionable points of view senior executives is becoming an increasingly important role off data scientists and data professionals these days. In this course, you will gain the ability to summarize complex information into clear on actionable insights. First, you will learn how to some of the important descriptive statistics from any numerically. Next, you will discover how to build and use specialized visual representations. Such a scandal stick charts, sancti diagrams and funnel charts invite. You will then see how the data behind such representations can now be fed in from enterprise wide sources such as data warehouses and rail pipelines. Finally, you were found out, of course, by working with data residing in different public cloud platforms even in a hybrid environment that this with some off it on premise and some off it on the club. When you're finished with this course, you will have the skills and knowledge to pull together data from the start sources and used nifty visualizations to convict actionable points off you to a senior executive audience.