Handbook To Becoming A Data Scientist In 2023

#python #datascience #sql #data

What is Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured.

If you're interested in becoming a data scientist, there are a few things you need to do to prepare. In this handbook, we'll walk you through the steps involved in becoming a data scientist, from learning the basics to building your portfolio and landing your first job.

Learn the basics

The first step to becoming a data scientist is to learn the basics of mathematics, statistics, and computer science. There are many resources available to help you learn these basics.

Master the skills

Once you have a good foundation in the basics, you need to start mastering the skills that data scientists use every day.

This includes skills such as:

Programming: Python is the most popular programming language for data science, but other languages such as R are also used.
Statistics: Data scientists need to be able to use statistics to understand and interpret data.
Machine learning: Machine learning is a subset of artificial intelligence that allows computers to learn without being explicitly programmed. Data scientists usually use machine learning to build models that can make predictions and decisions based on data.

Build your portfolio

Once you have a good understanding of the basics and skills needed to be a data scientist, you need to start building your portfolio to show potential employers your skills and experience.

Land your first job

Be sure to tailor your resume and cover letter to each job you apply for, and highlight the skills and experience that are most relevant to the position.

You can find data scientist jobs on job boards such as Indeed, LinkedIn, and Monster. You can also reach out to companies directly to see if they have any open positions.

There are many resources and materials to learn data science both online and offline. Some of the online resources include taking courses on platforms such as;

Coursera
Udemy
Codecamp
Edx
Datacamp

Learning data science takes time and effort, but it's a rewarding career path. If you're passionate about using data to solve real-world problems, then data science may be the right career path for you.