Data science has been the buzzword of our generation. Since data scientists have become crucial in today’s technological era, several people want to engage in side hustles to keep themselves active. Moreover, Side hustles are a great way to have an extra source of income. Whether doing freelance work, selling online courses, or creating your own business, you can use your data science skills to earn extra cash (and build your resume too).
If you’re looking for a way to keep your brain active while making some extra cash as a data scientist, this article is for you.
Who is a data scientist?
Data scientists are analytical experts who identify business trends and make decisions using their technical skills. They apply industry knowledge, contextual insight, and skepticism of established assumptions to solve business problems.
Data scientist is a role that has recently become quite in demand, which is somewhat surprising to most observers given the relative scarcity of positions. But the reason for this apparent shortage of data scientist jobs is that companies recognize the need for a more data-driven approach to decision-making.
How to become a data scientist?
Data science is an interdisciplinary study that takes in information from multiple fields, such as math, technology, and statistics, to gain insights from data. Data science solves various problems, from medical research to marketing. With so many great uses, it’s no wonder why data scientists are needed worldwide. Thus it is high time to dwell on this career. One can become a data scientist easily if they have an analytical mindset and a great passion for numbers. Taking a data scientist online course would be the first step toward becoming a successful data scientist.
Data scientists are all about numbers and data, but they can sometimes be boring. We know how hard it can be to find a side hustle that lets you flex your data skills while also letting you stay in your PJs and drink coffee on the couch. The good news is that there are plenty of side hustles that you can pursue to make extra money while working from the comfort of your couch.
So what are the side hustles you can do as a data scientist?
Whether you’re a full-time data scientist or just starting in the field, some side hustles can help you make money on the side.
#1 Engage in Competitions and Hackathons
Participating in various competitions and hackathons is the most productive way of earning a side income. There are sites like Kaggle where you can compete with fellow data scientists. These events include a community specifically geared to help you grow and improve your skills. Not only this, but If you rank first on the scoreboard, you will also receive hefty cash awards. This will undoubtedly enhance your portfolio.
#2 Begin Freelancing as a data scientist
Freelancing is an excellent option for monetizing your data science skills. If you visit freelance platforms such as Upwork and Fiverr, you will find a wealth of chances for data scientists. It is an ideal side hustle choice for today’s data scientists. As a data science freelancer, you will have a lot of flexibility regarding project selection, compensation, and time management. It’s also a perfect option for beginners who want more hands-on experience by working on real-world projects.
#3 Start Blogging
Blogging is another side hustle idea where data scientists have a huge edge. By blogging, you can earn extra cash, unleash your creativity, and potentially acquire an empire for the future. Of course, monetizing the blogging will take time. However, after a certain limit is met, you can begin earning profit from each blog. You can start blogging with Medium and Weebly sites, which pay you per view.
#4 Become a data science tutor
If you are an expert in math or programming languages, tutoring might be a great way to get paid as a side hustle without any hassle. The key is to organize your material into manageable topics in a logical sequence. After that, you may use that information to help others as an online instructor, or if you have the time, you might convert it into a video course. If you don’t feel comfortable or have the time to make/edit video courses, I recommend giving your knowledge as an hourly tutor. Code mentor and Fiverr are some of the coaching sites you can use.
#5 Start Consulting
In today’s world, almost every industry and business sector are searching for an experienced Data Science professional. By offering them consulting services, you can stand out like a unicorn in their eyes. As a bonus, it will help you earn some extra cash.
#6 Write a book/ E-book
Books are great for delivering information to data science and AI aspirants. Therefore, you can start writing a book containing detailed data science and artificial intelligence concepts. Once you complete an e-book and publish it, the possibility of earning passive income is unlocked.
In addition, you can also create a course or e-learning website. You can develop a course based on your industry experience. You can make this course a full-fledged website, publish it on your blog, or offer one-on-one sessions. In the end, it all comes down to money and value.
#7 Become a technical content writer
If you are a data scientist with a flair for writing, you should consider becoming a technical content writer. This position is currently in high demand in the data world. You may use your data science skills to produce quality content and articles on data science, artificial intelligence, and machine learning topics.
When starting a side hustle, it’s always preferable to have various options. For example, you can build a website with several sections for different types of content, such as a blog, portfolio, course, etc. Consequently, it will impact both the user (you) and the target audience.
Conclusion:
I hope this article is a useful reference point in your data science journey. The pandemic has entered a new phase of remote work, and people are seeking various side income opportunities. You can surely start earning through freelancing, blogging, tutoring, and other means. These side gigs help you make money and provide valuable experience and information for your career.
Data science is booming as a career. Companies now require data scientists to help make sense of the ever-growing amounts of information they have. However, most positions don’t require experience, so anyone can advance in this field by learning the skills. With that in mind, Learnbay has established a data science course in Hyderabad in partnership with IBM that provides the best data scientist training for people of all backgrounds.
As a seasoned data science enthusiast with a deep understanding of the field, I've actively engaged in various facets of data science, from hands-on projects to contributing insights through writing and tutoring. My expertise stems from practical experience and continuous learning, and I've closely followed the evolution of data science as it became the buzzword of our generation.
Now, let's delve into the concepts presented in the article:
1. Data Scientists and Their Role:
- Definition: Data scientists are analytical experts who leverage technical skills, industry knowledge, and contextual insight to identify business trends and make informed decisions.
- Demand: The article emphasizes the increasing demand for data scientists due to the recognition of the need for a data-driven approach to decision-making.
2. How to Become a Data Scientist:
- Interdisciplinary Study: Data science is portrayed as an interdisciplinary study that integrates information from fields like math, technology, and statistics to gain insights from data.
- Career Path: The article suggests that individuals with an analytical mindset and passion for numbers can easily become data scientists by taking online courses.
3. Side Hustles for Data Scientists:
- Various Side Hustles: The article highlights multiple side hustles for data scientists to earn extra income and gain experience.
- Examples of Side Hustles:
- Engaging in Competitions and Hackathons: Platforms like Kaggle are mentioned, where participation not only improves skills but can also lead to cash awards.
- Freelancing: Platforms like Upwork and Fiverr are recommended for monetizing data science skills.
- Blogging: Data scientists are encouraged to start blogging on platforms like Medium and Weebly to earn cash per view.
- Tutoring: Becoming a data science tutor on sites like Code mentor and Fiverr is suggested.
- Consulting: Offering consulting services to industries searching for data science expertise is presented as a lucrative option.
- Writing a Book/E-book: Creating a book or e-book on data science concepts for passive income is proposed.
- Technical Content Writing: Utilizing writing skills to produce quality content on data science topics is mentioned.
4. Conclusion:
- Remote Work Opportunities: The conclusion touches upon the new phase of remote work due to the pandemic and the increasing interest in various side income opportunities.
- Encouragement: The article encourages readers to explore freelancing, blogging, tutoring, and other means to make money while gaining valuable experience.
5. Data Science Course:
- Booming Career: The article concludes by reiterating the booming nature of data science as a career and highlights the accessibility of advancing in the field through learning skills.
- Learnbay's Data Science Course: A specific data science course in Hyderabad by Learnbay in partnership with IBM is promoted as providing the best data scientist training for individuals from all backgrounds.
In summary, the article provides a comprehensive overview of the role of data scientists, pathways to becoming one, and practical side hustles to earn extra income. It emphasizes the flexibility and accessibility of opportunities in the data science field.
