Wow, i just added my browser bookmark with Story Telling with Data. And this post title as same as the book, which the writer was Cole Nussbaumer Knaflic.
By wiley.com, there is book overview as below:
The book (Storytelling with Data) teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in the story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. This description is illustrated on blog-section of storytellingwithdata.com
The sample is how to use bullet graph to make data-owner easier to explain the others. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don’t make it any easier. The book demonstrates how to go beyond conventional tools to reach the root of your data. And also how to use your data to create an engaging, informative, compelling story.
By wiley.com, specifically in this book, you’ll learn how to:
Understand the importance of context and audience
Determine the appropriate type of graph for your situation
Recognize and eliminate the clutter clouding your information
Direct your audience’s attention to the most important parts of your data
Think like a designer and utilize concepts of design in data visualization
Leverage the power of storytelling to help your message resonate with your audience
This book will help the reader turn data into high impact visual stories that stick with audience target. Rid your world of ineffective graphs, one exploding 3D pie chart at a time (wiley.com).
I think, when i have experienced about Relational Database (RDMS), like Oracle, i need to know about the other concept of database. I am googling about it, and i got “NoSQL” in video format, and technopedia’s article. In this post, i want to share them at “introduction” section, and what is the difference between RDBMS, which i’ve faced every project, and NoSQL, the other database technology solution.
Nowadays, the data science field is more trendy. It may will change some condition in the near future. While a data driven approach is finding its way into all facets of business, companies are fiercely fighting for the best data analytic skills that are available in the market, and salaries for data science roles are going in overdrive.
Companies’ increased focus on acquiring data science talent goes hand in hand with the creation of a whole new set of data science roles and titles. Sometimes new roles and titles are added to reflect changing needs; other times they are probably created as a creative way to differentiate from fellow recruiters. Either way, it’s hard to get a general understanding of the different job roles, and it gets even harder when you’re looking to figure out what job role could best fit your personal and professional ambitions. DataCamp is facilitating that new trend. This is the detail of them.
The Data Science Industry: Who Does What
DataCamp is the first online learning platform that focuses on building the best learning experience specifically for Data Science. They have offices in Boston and Belgium. DataCamp took a look at this avalanche of data science job postings in an attempt to unravel these cool-sounding and playful job titles into a comparison of different data science related careers. They summarized the results in our latest infographic “The Data Science Industry: Who Does What”