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Skills Required for the most popular job roles in data science

What is Data Science is a question that has plagued many in the last two decades. But the answer couldn’t be simpler.

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Data Science reveals trends and generates insights that businesses can use to make better decisions and develop more innovative products and services. Well, not just businesses, but its extracted value extends beyond businesses and into academic and social pursuits as well. There is virtually, and arguably, no industry that can't benefit from it.

Data Science skill set is varied. People from a number of functions are employed in this industry, so it is necessary to jot down some common skills that are required for each title.

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Here’s a data science skills checklist for you to follow:

Data Scientist

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Programming skills in R, MatLab, SQL, Python, SAS, SCALA, and other complementary technologies
Familiarity with BI tools, e.g., Tableau
Mathematical skills such as Statistics, Algebra
Experience with big data technologies such as Hadoop and Spark
Data storytelling skills
Ideally, a strong background in engineering, computer science, machine learning, statistics, or applied mathematics.

Data Engineer

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Programming skills in Java, Scala, Python, SQL, and Machine Learning
NoSQL databases such as MongoDB, Cassandra DB
Experience with frameworks such as Apache Hadoop
Experience in statistical modeling and regression analysis
Ideally, a degree in software engineering, computer science, or information technology
Additional vendor-specific certification offered by Google, IBM, Cloudera, or Microsoft Certified Solutions Expert

Data Analyst

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Programming skills in R or Python, SAS
Familiarity with BI tools, e.g., Tableau
Experience with statistical software, e.g., Stata, SPSS
Profficiency in Microsoft Excel and the ability to use advanced analytics and formulas
Data wrangling, Data warehousing, and Data visualization skills
Ideally, a Bachelor's degree in IT, computer science, or statistics.

‍Data Architect

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Programming skills in Python or R, SQL
Knowledge of C, PHP, JAVA languages
Familiarity with BI tools, e.g., Tableau
Experience in data modeling and machine learning
Ideally, a bachelor's degree in systems, computer science, engineering, or related fields.