How to Become a Data Scientist by 2023

The demand for data scientists continues to grow year after year, and for many eager job-seekers, it can be a daunting task to try and break into this popular industry. This roadmap provides a comprehensive guide on the best way to become a data scientist by 2023.

Learn the Basics

No matter what career path you’re taking, a good foundation of knowledge is required in order to understand the more complex topics. Start by brushing up on the basics of math and computer science, such as Calculus and Python. Additionally, reading about the history and process of machine learning and AI will give you a better understanding of the role of a data scientist in today’s world. Take any opportunity to optimize your skills as a data analyst. Whether it’s tackling a few Kaggle competitions or simply reading up on the latest developments in data science, knowledge is essential in becoming a successful data scientist.

Familiarize Yourself with the Tools of the Trade

In order to land a job in the data science field, you must have experience with data science platforms and tools. Start by familiarizing yourself with the basics, like algorithms, data manipulation tools, and data visualization libraries. Feel free to experiment with different databases and cloud computing platforms to experience the differences between them. Additionally, gaining the ability to use statistical libraries like scikit-learn and Pandas will help you work more efficiently.

Network and Find Professional Opportunities

The best way to find a job or even a mentor in the data science field is to begin networking. Start by visiting Meetup events or attending conferences related to data science. This will give you the opportunity to meet people in the same field and build lasting relationships. Additionally, take some of your newfound knowledge to blogs and online forums to start engaging with industry professionals. Doing this can help you land an internship with a reputable data science team or company, which will provide you with invaluable experience.

Cultivate Your Brand as a Data Scientist

As a data scientist, your online presence is just as important as your technical abilities. With that in mind, create your online portfolio and start writing down your professional experiences and stories. Get familiar with popular data science communities and share your work and experiences. Additionally, try creating and writing content about the latest trends in data science on your blog or other popular platforms. Doing this will give potential employers an insight into your work.

Actively Pursue the Role

This is the time to stay active in your data science career pursuit. Take advantage of job postings, social media networking, and emailing data science teams. Make sure to follow up with any leads you acquire and be proactive in attending any job interviews you get. Once you're active in trying to find a job, you'll be better prepared to showcase your skills and get the job you've been hoping for.

Take Actionable Steps

• Read up on fundamental math, computer science and AI principles
• Grab the opportunity to sharpen your data analysis skills and take on Kaggle challenges
• Gain knowledge of data science platforms and tools such as algorithms, data manipulation tools and data visualization libraries
• Attend Meetups and data science conferences to build relationships with industry professionals
• Start writing content and build an online portfolio
• Stay active in your job search, take advantage of job postings, social media postings and email data science teams

Conclusion

Becoming a data scientist requires a lot of hard work and dedication. With this roadmap, you will have a detailed plan that outlines the best way to become a data scientist by 2023. By understanding the fundamentals of data science, familiarizing yourself with the tools of the trade, networking, cultivating your brand and actively pursuing the role, you will be steps ahead of your competition and better prepared to get the job of your dreams.