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.

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.

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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.

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

                                                                                Data Scientist

  • 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

  • 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

  • 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

  • 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.