How can one become a data scientist? Is it even worth it to pursue a career in data science? Today, I share 10 tips that can help you get started in data science. Thread 🧵👇🏾
1️⃣ You can find all the learning resources to get started with data science online and mostly for free on websites like freeCodeCamp, DataCamp, Codecademy, Coursera, Udemy, etc.
2️⃣ Sharpen your technical skills and go deep, be it Python or R and SQL. Build your skills in Data Science using a language of your choice - You could explore more languages, if needed once you’re well versed with your chosen language.
3️⃣ Even if you’re not from a Math background, a foundational course in Mathematics and Statistics will go a long way.
4️⃣ Remember that data science is more of a tool so have an understanding of the business problem you’re trying to solve using data science so that your solution aligns with the business objectives.
5️⃣ Build projects for your portfolio. You can also create your own projects by going onto platforms like Kaggle and finding datasets with suggested use cases.
6️⃣ Soft skills like communication, collaboration and empathy are very important as a data scientist.
7️⃣ If possible, do at least one data science internship. This really helps in giving you an industrial perspective to how data science can be applied.
8️⃣ Network with other data scientists (peers and mentors) on platforms like LinkedIn, Reddit and Kaggle.
9️⃣ Join hackathons like the Kaggle 30 Days of ML and attend data science conferences and meetups; there are many online events happening every week on Eventbrite, LinkedIn events and Meetup.
🔟 Don’t remain stuck on a problem for too long. Your roadblock may not be unique and there may be several available solutions online. Google and Stack Overflow are your friends.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
