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Data science is overtaking the global tech and data-driven market by storm in recent years. The data science domain has started offering multiple lucrative job professions such as data scientists, data analysts, data operators, and many more in reputed companies across the world. But there are two categories in these data-centric professions such as self-taught data scientists as well as data scientists with degrees. Self-taught data scientists are revolutionizing the qualification requirements in tech companies without having a professional degree in data science. They are ready to compete with data scientists with degree to land lucrative jobs to contribute to the data world. Thus, there is an utmost need for data science resources for self-taught data scientists to learn more and gain in-depth knowledge of the domain. Let's explore some of the top ten data science resources essential for self-taught data scientists to gain a competitive edge in 2022.
MOOCs are one of the top leading data science resources and are known as the Massive Open Online Courses available for any data scientist to enrol in free online data science courses. It offers self-taught data scientists to gain a strong understanding of data science in affordable and flexible methods to give a competition to data scientists with degree.
In this digital world with the integration of digitalization and the online education system, people tend to have forgotten the importance of textbooks. Thus, it is one of the top data science resources for self-taught data scientists. Textbooks contain different information about data science that can be hard to find in the online library.
One of the popular data science resources is YouTube and all the necessary information is available for both self-taught data scientists as well as data scientists with degree. The videos are very helpful in gaining sufficient knowledge of the field in different languages. It helps them to understand basic concepts clearly with explainable videos on YouTube.
Kaggle is known for providing a no-setup and customizable Jupyter Notebooks environment with a huge repository of community-published data and code. It is one of the key data science resources to complete work and projects in this field. Kaggle consists of more than 50,000 public data sets as well as 400,000 public notebooks for effective data analysis.
Internships are important for self-taught data scientists to gain hands-on experience in this technical and data-centric field. Internships in tech- and data-driven companies help a lot in gaining exposure to the basic and practical concepts to compete with data scientists with degree.
GitHub is helping professionals in the data-centric world to build seamless software with the largest and the most advanced development platform in the world. Self-taught data scientists can write less code in the best community-approved projects to boost the work and share it in the community.
Hackathons and other data science competitions are very essential to participate in to gain confidence and improve on the key focus areas for self-taught data scientists. There are multiple platforms like Kaggle, DrivenData, Data Analysis Olympiad, and many more that can help to gain exposure in this data-centric field.
For self-taught data scientists as well as data scientists with degree, personal projects are one of the top data science resources. Personal projects are always required to add value to the portfolio to get hired in tech companies like FAANG. It shows that the candidate has worked on useful projects and has the technical and data know-how to the core.
Data science communities are one of the top effective data science resources for self-taught data scientists. These communities can be found on multiple social media platforms such as Facebook, Twitter, Instagram, and even LinkedIn. They post certain issues, topics, problems, events, and much more relevant information that are useful to gain knowledge efficiently and effectively. These communities also offer contacts with senior professionals for their insights and guidance in this field.
Attending webinars is one of the top data science resources for both self-taught as well as data scientists with degree. In this data-centric era, data science or big data webinars are thriving with data professionals with their insights, guidance, and predictions for the future.
