The purpose of this article is to answer this question. We will dive into technical skills and non-technical skills that are critical to success in Data Science.
If you are a potential data scientist, you can use the information
to create a successful career in data science for you.
Skills needed to become a Data
Scientist
·
You need math, computer science, B.Tech or MBA background. This
area also provides the freedom to work on projects that are important to you.
·
You must have a good knowledge of various tools like SAS, R,
Python, SQL, Tableau, Machine Learning, IoT, Six Sigma, Mind Mapping, Data
Mining, Data Optimization, Minitab, Scala and Spark to name a few.
·
Practical knowledge through case studies or boot camps in addition
to theorical studies can only increase your chances of hiring.
·
Mathematical knowledge
·
Technical and software knowledge
·
Knowledge of data science tools and algorithms.
·
Strategic Insight.
All this can be learned, but the most important will be your
mindset. A data scientist should have the intellectual curiosity to know about
the problem. Data scientists must be highly curious to see new problems, ask
new questions, and try to find solutions.
Get
Certified:
This is an area where one should be trained and practiced. Without
proper training and practical skills, one cannot be successful as a data
scientist. There is a various data science tools and techniques for the learn.
Being certified will not only help you improve your skills, but will also
confirm your future as a data scientist.
Big data is everywhere, and all these data are promising a great
future. If you want to shine in this challenging and competitive field, Data
Science Certification will provide you with the best guidance.
What Is Data Science? Future Scope & Career
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