Data science involves studying and analyzing large data volumes to drive meaningful insights. A Data Scientist needs a robust toolkit for this where they can experiment, manipulate and visualize data to get the outcome.
According to Anaconda’s 2020 State of Data Science Report, 75% of Data Scientists frequently use Python to carry out tasks related to data science. While coding skills are commendable, people often ask, “Does data science require high coding skills?” If yes, “How much coding is required in data science?”
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As the data science landscape changes with technical advances, data projects today can also be carried out without code. These technologies do not wipe out coding from a Data Scientist’s set of skills, but they provide a platform for this with little to no coding experience. However, experienced Data Scientists today continue to code.
How Much Coding is Required in Data Science?
Now that you have the answer to “Is coding required in data science?”, let’s address the next — how much coding must you know to excel in data science?
The answer to this question is dynamic as it keeps changing with roles, positions, projects, and companies. However, it is advisable to know the basics of coding languages like Python, R, Java, Perl, C/C++ and SQL, with Python being the most popular.
What is No-Code Data Science?
Low-code and no-code data science platforms offer an efficient and streamlined workflow for non-coders to start with data science. These may include pre-built models, templates, logical sequences, and drag-and-drop features to speed up experimentation and deployment.
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Top 3 Data Science Jobs That Do Not Require Coding
Although coding is a fundamental element of data science, some roles are still available for those with minimal coding skills.
Data Manager
A Data Manager supervises accessing, validating, and storing the data in the database management system to conduct business operations. Insight into database management is more critical for Data Managers than knowing to code.
Data Product Manager
Data Product Managers collect and interpret product data to design and develop products based on it. The role does not demand knowledge of programming languages or coding.
Data Analyst
A popular data science role, this position does not call for coding. The role of Data Analysts is to produce conclusions from the collected data, which does not require coding.
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Having coding skills always sets the scope to establish yourself in data science. Nevertheless, there is room for the ones who don’t know much about it.
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