5 Essential Skill Sets For Data Scientists
These skills won’t require as much technical training or formal certification, but they’re foundational to the rigorous application of data science to business problems. Even the most technically skilled data scientist needs to have the following soft skills to thrive today.
Being able to communicate your findings with business leaders and other data scientists without having to rely on someone else to translate your work is crucial. That’s why it’s important for you to be able to communicate results clearly, concisely, and correctly. It’s also important for you to be flexible, and able to move from project-to-project or business case-to-business case as the need arises.
Since BigData is very new, it is important to understand the context in which all data science happens. Data scientists are therefore expected to have an understanding of how data science relates to business strategy and how businesses operate.
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Data Scientists
The ability to communicate with a varied audience is essential. Data scientists need strong analytical and reasoning skills, but they also need to be able to communicate the results of their work.
You don’t need to be the best networker, but you are expected to be able to talk to people, ask questions and get answers. This improves your understanding of what’s going on and what kind of data you need.
1. Critical thinking
With this skill, you will:
Objectively analyze questions, hypotheses, and results
Understand what resources are critical to solve a problem
Look at problems from differing views and perspectives
Critical thinking is a valuable skill that easily transfers to any profession. For data scientists, it’s even more important because in addition to finding insights, you need to be able to appropriately frame questions and understand how those results relate to the business or drive next steps that translate into action. It’s also important to objectively analyze problems when dealing with data interpretations before you form an opinion. Critical thinking in the field of data science means that you see all angles of a problem, consider the data.
Whether you’re a student, data analyst, or business professional, critical thinking is a valuable skill that easily transfers to any profession. For data scientists, it’s even more important because in addition to finding insights, you need to be able to appropriately frame questions and understand how those results relate to the business or drive next steps that translate into action. It’s also important to objectively analyze problems when dealing with data interpretations before you form an opinion. Critical thinking in the field of
Using critical thinking in the field of data science means that you see all angles of a problem, consider the data source, and constantly stay curious.
2. Effective communication
With this skill, you will:
Explain what data-driven insights mean in business-relevant terms
Communicate information in a way that highlights the value of action
Convey the research process and assumptions that led to a conclusion
Communicating data-driven insights is a critical skill for data scientists. It helps data scientists be influential in an organization and allows them to make a sustainable impact.
Working with data is a team sport, and effective communication is necessary to ensure that others understand and act upon your insights.
Data Science is a helpful skill for other industries such as education, healthcare, and finance. Learn how to use data in a new way and get a better understanding of how it works!
If you're looking to break into data science or improve your data science skills, this course is a must. I've taken the course and it was very helpful. The instructor is top notch and the community of students is great.
3. Proactive problem solving
With this skill, you will:
Identify opportunities and explain problems and solutions
Know how to approach problems by identifying existing assumptions and resources
Put on your detective’s hat and identify the most effective methods to use to get the right answers
Data science is a very broad field. You need to be able to identify opportunities and explain problems and solutions. Know how to approach problems by identifying existing assumptions and resources. Put on your detective’s hat and identify the most effective methods to use to get the right answers.
4. Intellectual curiosity
With this skill, you will:
Drive the search for answers
Dive deeper than surface results and initial assumptions
Think creatively with a drive to know more
Constantly ask “why” — because one answer is usually not enough
Data Scientist is a new and exciting job, but getting started can be daunting. To help make learning easier and more fun, we created this challenge to provide structure while not being too prescriptive. It’s designed to help you learn the necessary skills through hands-on practice, building your own datasets, and sharing your work.
5. Business sense
With this skill, you will:
Understand the business and it's special needs
Know what organizational problems need to be solved and why
Translate data into results that work for the organization.
Data Scientists are able to help solve important business problems and have a direct impact on the bottom line of an organization. Data can be used to create new products, develop better strategies, and make more informed decisions. A strong data scientist is able to communicate the value of data and convey the importance of data-driven decisions.
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