09-Jun-2021 19:09:52 pm
Data science is currently the most exciting field and is in serious demand by data scientists. For good reason – data scientists do everything from building self-driving cars to automatically captioning photos. Considering all the interesting applications, data science is meant to be the most demanding job.
In this post I will share some steps that will help you in your journey to become a Data Scientist. The journey is not easy, but it is more inspiring than following the conventional wisdom.
Becoming a Data Scientist — FAQs :
The appeal of data science is that you have to answer interesting questions with real data and code. These questions are "Can I predict that a flight will arrive on time?" "How Much Does America Spend on Education Per Student?". You need to develop an analytical mindset to ask and answer these questions.
The best way to cultivate this mindset is to start it with news articles. Find articles like these that make you better and find out if sugar is really bad for you. Think :
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Learn The Basics
Once you know how to ask questions, you are ready to use your technical skills to answer them. I would start learning data science by learning the basics of programming in Python.
Python is a programming language with a standard syntax that is recommended for beginners. Fortunately, it provides the skills to perform more complex data science and machine learning-related tasks, such as deep learning.
Many people worry about choosing a language, but the important things to keep in mind are :
As you learn the basics of coding, you should begin developing programs that answer interesting questions and showcase your data science skills. Plans don't have to be complicated.
For example, you can analyze Super Bowl winners to find patterns. It's important to find interesting datasets, ask questions about the data, and then code those questions with answers. If you need help finding databases, check out this post for a list of good places to find them.
When making plans, keep this in mind :
Share Your Work
Once you've created some projects, you need to share them with others! It's a good idea to upload them to GitHub for others to see. You can read a good post here about uploading projects to GitHub, and learn more about linking to a portfolio. Uploading Project:
Once you start building an online presence, it's a good idea to start a conversation with other data scientists. You can do this in person or in online communities. Some good online communities:
Personally, I was very active in Kaggle and Quora when I was studying, which helped me a lot. The best way to do this is by joining online communities:
Become a Data Scientist – Frequently Asked Questions :
Data scientist qualifications
Data Scientist Educational Requirement
What skills are required to become a data scientist ?
Specific requirements vary slightly from job to job, and more specific roles develop as the industry matures. However, in general, the following capabilities are expected for any data science role :
Most of the time, machine learning will focus on a role in a specific subdomain. Every data scientist is expected to be familiar with the basics, but one role may require more in-depth experience with natural language processing (NLP), while another may focus on developing product-ready prediction algorithms. is.
How many years does it take to become a data scientist ?
What salaries do data scientists make?