Can a Non Programmer Learn Data Science?

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Introduction 

Data Science emerges as the most demanding, popular and emerging technology of the modern times. Aspirants of Data Science usually assume that to begin a career here they need to know to program. While this might be certain for certain job roles in data science. Fact is told, you can learn data science online without programming. In this post, we shall discuss how a non-programmer can learn data science. We shall also answer the question – 'is it possible to learn Data Science with Low-Code experience?'

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Does it Matter to Learn Programming to Become a Data Scientist?

Well, it doesn't matter to that extent. You can learn data science and become a data scientist without having an expert programming language. Any non-programmer can master data science. All you need to do is pursue an Educative course Data Science for Non-Programmers.

Such students who take up the data science online course aren't a programmer then, but gradually they learn to write code in Python. By the end of the online data science course, you will learn key concepts like machine learning, data cleaning, and predictive models.

How Much Programming is required in Data Science?

Data Scientists are professionals who need to code every day. However, if you don't have a background in programming, it doesn't mean you can't pick up data science as a career. The level of programming one has to learn for Data Science is basic.

At the least, you need to have an analytical mindset. Logical thinking helps you phrase the solution to your problem. You also need to be aware of the basics of programming languages, functions, and libraries in data science. Such individuals who have learned maths and physics at the 12th level can develop their mindset programmatically.

You don't need in-depth knowledge or expertise in coding, unlike software developers. All you need is the basics of coding or programming. Several online guides teach the syntax and functions of data science. For Example; R, General Python, and DataSci Python.

Below, we have highlighted some points that show how much programming is required in data science.

• Acquire basic knowledge of data structures.
• Try to gain some basic knowledge of algorithms in programming languages.
• Also, knowing some basic terms in the programming language, and object-oriented programming (oops) concepts are beneficial.
• Try to be good at a particular programming language. You can also try to learn 2 programming language basics.
• R and Python programming languages are quite crucial to be a data scientist
• But most probably python is used most of the time in the companies so just learn the python
• Remember, you need not be an expert in Python. All you need to know is the basic knowledge of Python-like strings, tuples, if-else statements, &, etc.

Scope of a Data Scientist Without Programming Skills

If you have no programming skills, don't worry. You can now pursue a data science master's for non-programmers online. Such master's training courses help you acquire basic programming skills. Anyone who has clear-cut knowledge of the basics of programming like functions, loops, and programming logic can become a data scientist.

Data Science is the most lucrative job in 2022. Here, career opportunities are massive but there is a huge gap between the demand and supply chain gap of data scientists. Nonprogrammers can learn data science and fill up the increasing demand for data scientists. There are several job opportunities for beginners in this industry.

Tips for Non-Programmers Data Scientists

1. Use GUI-based tools

The good news is you can now pursue a career as a data scientist with no programming skills. GUI-based tools are used by data scientists. These tools help in the completion of data science projects such as Auto-Weka, Tableau, and Rattle.

You can learn data science online courses to handle these GUI-based tools. Anyone who does not know programming can use the tool as it excludes the programming aspects. GUI tools have a user-friendly interface. If you gain a basic knowledge of GUI algorithms, you can understand and develop high-quality machine learning models.

2. Focus on business communication

If you manage to acquire excellent communication skills, you can get a better career path as a data scientist. Yes, this is the truth. To be a good data scientist, gain business acumen more than being an expert programmer. Hence, try brushing up your business communication skills. A non-programmer can become a data scientist with good communicative power.

3. Become a Great Story Teller

A data scientist who can convey his work progress to the stakeholder is always in-demand. Now, if you don't belong to a programming background, don't worry. The primary responsibility of a data scientist is to dig insights, bring valued numbers, design models, and present data science models to stakeholders. As a non-programmer, you must have unmatched storytelling skills. These skill sets help you pursue a data science career faster than your competitors.

Best 3 Best Data Science Tools

Below we have listed some of the vital data science tools. Every non-programmer should have full command of these tools before trying to enter the field of data science.

• Tableau

Tableau is a data visualization tool that allows data scientists to process raw data into an understandable format. It is compatible with MS Excel and SQL Server. As a non-programmer, you must learn to work with Tableau.

• RapidMiner

RapidMiner is a data science tool that's preferred by non-programmers. It is used for several technological processes like machine learning, deep learning, data preparation, predictive analytics, etc. If you have no programming skills, learn using RapidMiner.

• DataRobot

DataRobot helps data science professionals build and deploy accurate predictive models in a hassle-free manner. Non-programmers must learn to use this tool. The tool trains and evaluates models in several programming language libraries like R, Python, H2O, etc.

Conclusion 

By now, you must have understood that learning data science is easy. If you have no programming skills, don't lose heart. Data science masters for non-programmers are available online. You can pursue the master's program if you do not have programming efficiency.

Don't think you don't have a space in a data science career without coding skills. There are greater options in this field. You can rather focus on developing & polishing other skills rather than knowing about the program to become a data scientist. In case you want to explore data science in detail, you can enroll for the courses offered by The IoT Academy.