Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Interview in Forbes: What is a Data Scientist?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Interview in Forbes: What is a Data Scientist?
AnalyticsJobs

Interview in Forbes: What is a Data Scientist?

Daniel Tunkelang
Daniel Tunkelang
1 Min Read
SHARE

Dan Woods has been interviewing a variety of folks to answer the question: “What is a data scientist?“, and I had the honor to participate in his series.

More Read

Swimming with the Smarter Customer: The Speedo International Story
Ben Goertzel’s Report on AGI-09: The Second Conference on…
The Future of Data Science
Will Predictive Analytics Help Forecast Profitable IPOs for Stock Traders?
BI Shouldn’t Be Part-time Pursuit for Analysts

Here is a teaser of my interview:

Above all, a data scientist needs to be able to derive robust conclusions from data. But a data scientist also needs to possess creativity and strong communication skills. Creativity drives the process of hypothesis generation, i.e., picking the right problems to solve that will create value for users and drive business decisions.

Read the rest on Forbes.com. And thanks to Drew Conway for the awesome data science Venn diagram above.

TAGGED:analyst skills
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Top Data Analysts Must ‘Speak the Language of the Business’

4 Min Read

Analyst Skills are Hot

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?