Data Science Super Skills
Captain Obvious
Focus on Python.
Almost every data science project could be improved with Python scripting. When looking at employing data scientists, the top desired skill is Python. While there are many open source languages available today, Python consistently takes first place across the data science industry.
Agent Collaboration
Develop those people skills.
Often overlooked, people skills are critical for data scientists. With more and more citizen data scientists and business users getting involved in data science projects, business acumen, good communication, getting along with others, and building trust and relationships are valuable skills for a data scientist.
The Incredible Scaler
Raise your ability to scale.
Innovative companies are racing to scale data science, AI, and ML. But there are several barriers to overcome, including devops considerations, implementing a low-code/no-code analytics environment, balancing open source with other technologies, and infusing analytics into the business for real value.
Doctor Data
Uncover your inner data engineer.
Wonderful data scientists make raw data enterprise-ready with data engineering. That means expertise in data prep, federation, and virtualization technologies; SQL; and master data management & reference data management.
Ethos
Keep ethics in mind.
Remember, just because you can do something doesn't mean you should. With these new data science superpowers comes great responsibility to consider ethics, privacy, and regulatory issues.
Vog
Learn to soar in the cloud.
Fluency in diverse cloud computing solutions can bring great value to your organization. Make sure you consider the following in any cloud computing project: business need, cross-cloud compatibility, and hybrid cloud environments.
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