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What Does it Take to be a Great Data Scientist?

Guest Author

Welcome to the dawn of the Big Data age. Your organization may still be years away
from implementing a big data strategy, but the groundwork is being laid now and
big data skills are highly sought after. Organizations worldwide are looking for data experts who will help lead
their organizations into the future.

According to a study by McKinsey
Global Institute,
by 2018, there will be a shortage of 1.7 million workers
with big data skills in the U.S. alone—140,000 to 190,000 workers with deep
technical and analytical expertise and 1.5 million managers and analysts with
the skills to work with big data outputs.


Which core skills should Data Scientists have?

  • Varied technical skills and experience with
    technologies like Hadoop, NoSQL, Java, C++, Python, ECL, SQL, Hbase, Hive, and
    Pig… to name a few
  • Data Modeling, Warehouse and Unstructured Data
    Skills
  • Business Skills and understanding of the Domain
    expertise
  • Experience with Visualization Tools
  • Communication and story telling skills – this is
    at the heart of what makes a true data scientist. Read this data scientist core skills article
    for more about how to tell a story with your data.

Data Science Needs Traditional Data Management Skills and Big Data Analytics Skills

Universities are expanding curriculums to train
the next generation of data scientists.

But as Mary Shacklett's article  illustrates, ideal data scientists needs a combination of traditional data management skills and new big data analytics
skills.

Even your organization’s big data revolution seems further
out. IT developers and analysts everywhere should be building expertise now so
you're on the front lines of your data revolution.

Build Big Data Skills with Oracle University Training Courses

As a leader in the world of data, Oracle is uniquely
positioned to educate IT professionals about core big data technologies. 
Top Oracle University training courses to help you become a better
data scientist include:

-Kate Jones, Senior Marketing Manager, Oracle University

Join the discussion

Comments ( 2 )
  • guest Saturday, March 22, 2014

    I understand that Big Data is one of the skill set that is required. But, it is not the only skill set. In order to become a better data scientist (I still wonder from where they came up with this fancy world). There are lot of skills that are required for different phases of working with data. And for that, you need statistical skills, understanding your data, cleaning the data, building models out of your data, exploring the hidden patterns, visualising but far the most you need to have a good insight in to the data.

    So, Having just the skills of programming languages and Big data might be the first step but they are not just enough.


  • guest Monday, July 14, 2014

    True. We need to have Statistical background as well good working knowledge of Statistics patterns and without those basic skills Big Data is not going to fetch any thing.


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