7 Steps To Building A Career As A Data Scientist Without A Degree

Data science is the most in demand field in today’s decade. There is a very low likelihood that candidates will have an actual degree in data science because it is a relatively new field. Below are 7 essential steps that will enable you to become a data scientist without a degree to make up for that.


  1. Gain Necessary Prerequisite Knowledge

The vast field of data science is derived from several branches of mathematics, computer science, and statistics. There are many books available that can help you learn more about these topics.

Additionally, you can learn about topics like calculus, linear algebra, probability, discrete mathematics, etc. You can learn Python and R, the two most widely used programming languages in the field of data science, to gain knowledge of the fundamentals of computer science.


  1. Learn Data Science Tools and Techniques

Learning data science is the next critical step toward becoming a data scientist. What does Data Science really consist of? Data science is made up of many different elements, including data extraction, data transformation, data cleaning, visualization, and prediction.

Each of these elements needs to be mastered separately. Storytelling is a crucial component of data science. You need to be proficient with a variety of tools in order to learn these skills. For instance, you need to be familiar with tools like ggplot2, seaborn, and matplotlib for visualization. 


  1. Get Certified

Although obtaining a certificate is optional for this step, it will only increase your chances of becoming a data scientist. An official certification will demonstrate the data science abilities you have used. Microsoft, Cloudera, SAS, and other organizations provide certifications in data science. If you’re looking for a complete data science bootcamp, an IBM-accredited data science certification course in Pune is the ultimate destination for your career. 





  1. Explore real-time Case Studies

Once you have a solid understanding of data science and the various tools used in the process, you should read and research various case studies of how large corporations are using data science to enhance their operations and increase their profits.

More case study research can help you discover challenges to solve and the best way to handle them.


  1. Work on live projects

In the more practical field of data science, you must work on real projects to solve real problems to gain true knowledge. Your data science skills will advance as a result of getting practical experience solving real-world issues. Finding a job in data science as a new graduate can be difficult, so make sure you work on worthwhile live projects and develop your skills.


  1. Build a Portfolio

Your work in the area of data science is displayed in your portfolio. Several Data Science projects can help you improve your portfolio. You can attract the attention of numerous job recruiters by increasing your presence on websites like Github, Linkedin, Kaggle, Tableau Public, etc. You can tailor your portfolio to a particular job. For instance, if your job requires machine learning, you will need to have projects in your portfolio that use machine learning algorithms.

The data analysis portfolio is another type of portfolio that allows you to show off data transformation, cleaning, visualization, etc. The storytelling portfolio, which is a comprehensive project that converts a business issue into data science, is the third category of the portfolio.


  1. Participate in Hackathons

Practicing data science is the best way to learn it. Kaggle is just one of many online venues that enable active participation in data science competitions. You can build your portfolio and add experience to your resume by participating in these competitions. You can thoroughly understand how to apply data science in real-life scenarios by engaging in extensive data cleaning, transformation, analysis, and visualization.


Summary

We underwent a number of steps, including acquiring prerequisite knowledge, learning essential data science skills, earning certificates, constructing a portfolio, and participating in competitions. Without a degree, one can still become a data scientist by following these steps. Do you want to work as a data scientist in MNCs? You can develop your expertise by gaining experience through the best data science course in Pune, which involves learners engaged in real-world projects created by industry experts.

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