Kick Start Your Career in Data Science without Coding Knowledge

Kick Start Your Career in Data Science without Coding Knowledge

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Rashmi
Rashmi Karan
Manager - Content
Updated on Nov 1, 2023 16:23 IST

Though many coding geeks indeed choose to pursue a career in data science, learning data science is not just reserved for only those with coding knowledge. But the question often arises, does data science require coding? Many great enterprise data scientists began their careers in data science without any prior coding knowledge or experience. With this article, you will understand how you can start or switch to a career in data science even without any coding knowledge. Let’s begin…

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To learn more about data science, read our blog – What is data science?

Learn How to Take A Step Forward

First, there are core data science skills. You need to be able to manipulate files of different formats, clean and explore data, use program algorithms to modify the data, and create data visualizations, etc.

Second, there is knowledge of mathematics and statistics. It is not necessary to have a doctorate in mathematics or statistics to have a successful career in data science. However, it is mandatory to have a sound knowledge of the essentials of statistics and Math. You should also know how to interpret the algorithms.

Must Read – What is a Data Scientist?

The last, but not the least, is business skills. Usually, people don’t pay much attention to improving their soft skills and business knowledge. The ability to identify which issues need special attention, how to work with interdepartmental teams, and communicating the results to the stakeholders to help make them crucial business decisions, is indispensable.

Pick Up an Online Course

As a beginner, it might be a little overwhelming to see your peers doing better with data than you. You would need to learn data science and related concepts from scratch. You have a sound knowledge and work on data, be consistent and diligent, and probably you will outperform everyone once you acquire the subject-specific knowledge.

Learn Data Science Basics

You can get enrolled in any online data science course as per your aspirations and professional requirements. Both paid and free courses are available to help you build upon your data science skills. You can consider taking up a full-fledged and paid data science course, take up a free course, or audit a course without getting a certificate. You must know that demonstrating the right skills to your hiring managers is extremely important.

Pick courses that give you a concrete understanding of the main aspects of data science, including programming in R, basic data cleaning, analysis, regression, artificial intelligence, and machine learning.

One highly recommended course is Executive Data Science Specialization. You don’t need any prior data science experience to take up this course, and you will learn the concepts of data science and implement them in the real world.

Some other courses that don’t require a prior coding experience to master data science, include –

Learn Statistics

To succeed in your career in data science, you will have to work on different statistical tools and methods for data analysis/sorting/visualization. It is vital to have a good command and understanding of topics like statistical tests, distributions, maximum likelihood estimators, etc.

I would highly recommend you to pick specific statistics skills to make your resume strong enough to catch the attention of the recruiters. Some statistics courses which you must consider if you wish to enter the world of data science –

Learn Python

A Kaggle study reveals that Python, SQL, and R are the most popular programming languages. The most widely accepted, by far, was Python (83% of those surveyed used it). You need to get comfortable working with Python, as it comprises programmed functions, tools, and algorithms that can help you save a lot of time. It is a good idea to learn about Python libraries like PyTorch, Matplotlib, NumPy, TensorFlow, Keras, Pandas, Scikit-Learn, etc., and the ecosystem of data science packages in Python. Here are some of the popular Python Courses –

Learn How to Build Your Data Science Projects 

Employers prefer hiring candidates with applied knowledge and skills. One of the best ways to showcase your skills, while enriching your learning is to build a portfolio that demonstrates all of those data science skills effectively. You should also start contributing to open-source projects on platforms like GitHub. You can collaborate with others and learn from their feedback and expertise.

Create 5 – 6 data science projects, relevant to the job role you are interested in. This includes data cleaning projects, data storytelling projects, end-to-end projects, explanatory posts by picking a specific data science topic, optional portfolio pieces, data visualization projects, group projects, etc.

Must Read – Interesting Data Science Project Ideas for Aspiring Data Scientists

Here is how you can do it –

  • Find a suitable topic
  • Extract relevant data from the web and clean it
  • Dig deeper to get insights and utilize those insights in your project
  • Try to build features for your future consumers using external APIs
  • Explore some of the top data science platforms to help you learn how to build great data science projects.

Improve Your Business Skills

Let’s take a look at how you can improve your business skills –

  • Understand business objectives and data-based information needs
  • Interpret and contextualize the data in the best way possible to extract valuable information
  • Prepare a clear and compelling presentation and communicate the data effectively through the right data visualization tools such as tally charts, histograms, scatter plots, etc.
  • Learn how to make evidence-based decisions and present them to management and stakeholders

Lastly, Learn to Program!

You need to acquire the right knowledge of data analytics tools, technologies, as well as programming languages if you wish to grow in the field of data science. You don’t need to be an expert at any programming language, but its knowledge is something that will set you apart from others in terms of value addition. Learn programming languages through these online courses –

Conclusion

Embarking on a career in data science without prior coding experience is not only possible but also achievable with dedication and the right approach. 

To kickstart your journey, enrolling in online data science courses that cater to beginners can provide you with the necessary knowledge and hands-on experience. These courses cover various topics, from programming and data cleaning to artificial intelligence and machine learning.

Moreover, building a solid portfolio by working on data science projects and contributing to open-source initiatives is essential. This not only demonstrates your practical skills but also showcases your commitment to continuous learning and improvement.

In the ever-evolving field of data science, perseverance, continuous learning, and a strategic approach are vital to achieving success, even for those starting without coding experience. So, take that first step, embrace the learning curve, and open doors to exciting opportunities in data science.

FAQs - Career in Data Science without Coding

Can I pursue a career in data science if I don't have any coding experience?

Yes, you can. While coding can be beneficial, there are tools and platforms available that require minimal coding or even offer no-code/low-code solutions, making it possible to enter the field without extensive coding knowledge.

Are there online courses that cater to beginners in data science without coding experience?

Yes, there are numerous online courses tailored for beginners. Look for courses that cover data science fundamentals and offer hands-on experience without requiring extensive coding.

Do I need to be proficient in mathematics and statistics to succeed in data science?

While a Ph.D. in mathematics is not required, a solid understanding of essential statistical concepts is crucial for data analysis and interpretation.

Can I transition to a data science career from a non-technical background?

Yes, many successful data scientists come from non-technical backgrounds. Your domain expertise and analytical skills can be valuable assets in the field.

How long does it typically take to start a career in data science without coding knowledge?

The timeline varies depending on your starting point and the effort you invest. With dedication, you can gain foundational skills in a few months and gradually advance your career in data science.

About the Author
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Rashmi Karan
Manager - Content

Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio