Formations Data Scientist Devenez Data Scientist

Emily Johnson

-Mar 12, 2026, 1:33 PM

formations data scientist devenez data scientist

Data scientists are among the top jobs in the US. Learn how to become one with this guide. Data scientists bring enormous value to companies by harnessing the power of data and using it to make predictions and draw actionable insights. Between 2022 and 2032, the US Bureau of Labor Statistics (BLS) projects data scientist jobs to grow by 35 percent. This figure represents an average of 17,700 job openings annually [1]. Data scientists also earn higher-than-average salaries and generally feel satisfied with their work-life balance [2].

In this article, we'll discuss how to become a data scientist—with little to no experience—and key skills and technologies you'll want to learn to succeed in this career path. The amount of time it takes to become a data scientist depends on your previous experience, education, and skills. If you're transitioning into data science from a related career such as software engineering or machine learning, gaining the required competencies through certificate programs or online classes may only take a few months. However, if you do not have a background in data and wish to pursue a data science career, you may need to earn at least a bachelor's degree or gain foundational knowledge and experience... Entry-level data scientists are often expected to know SQL, data visualization tools, and statistical computing [3]. Learn how to become a data scientist with this step-by-step guide.

Explore educational paths, essential skills, and how to earn a certificate to start your career in data science. Data scientists are digital detectives who interpret the stories hidden within collected data. They blend their math and statistical know-how with programming skills to help companies make smarter business decisions. Data scientists help identify trends, fine-tune algorithms, and analyze customer usage. They commonly work in industries like technology, finance, marketing, healthcare, biotechnology, retail, commerce, and even professional sports. According to the Bureau of Labor Statistics (BLS), data scientists earn a median annual salary of $112,590 as of May 2024.

While there's no one-size-fits-all path to becoming a data scientist, these steps can make the move easier: Want to become a data scientist but don't know where to start? This guide shows you exactly how to break into data science in 2026, from learning essential skills to building a portfolio and landing your first job. Data science jobs are expected to grow 34% from 2024 to 2034, according to the U.S. Bureau of Labor Statistics. With the right approach, you can transition into data science regardless of your background, even without a traditional tech degree.

This guide focuses on hands-on projects and practical learning. It's how I became a data scientist, transitioning from a history degree to machine learning engineer and founder. A data scientist is someone who uses data to answer questions and solve problems. They collect large amounts of information, clean it, analyze it, and turn it into something actionable. They use tools like Python, R, and SQL to manage and explore data. They apply statistics, machine learning, and data visualization to find patterns, understand trends, and make predictions.

Data science has long been called the “sexiest job of the 21st century,” but the role has changed significantly over the past three years. In 2020, Data Scientists primarily focused on cleaning data and developing predictive models from scratch. With the emergence of Generative AI (GenAI) and Large Language Models (LLMs), the profession has evolved. Today’s Data Scientists are more like strategic AI architects who leverage advanced pre-trained models to address complex business challenges, moving beyond traditional coding. For those aiming to enter the field, it’s essential to go beyond basic statistics and familiarize themselves with the Modern Data Stack. This guide covers the new skills, tools, and salary expectations for the next era of Data Scientists.

Data science is an exciting profession in that part of the job is technical and requires the ability to work with computers and software. The other part of the job requires having an analytical mind and the ability to recognize trends and patterns within the information. This guide will explain how to become a data scientist step by step, including information on required education, skills, and experience. Data science is one of the fastest-growing fields in the world, and for good reason. Data scientists are in high demand across various industries, as they have the skills to collect, analyze, and interpret large datasets to help organizations make better decisions. If you're interested in a career in data science, you may be wondering how to get started.

This guide explains how to become a data scientist step by step, including information on the required education, skills, and experience. The first step to becoming a data scientist is to earn a bachelor's degree in a relevant field. Some common majors for aspiring data scientists include: In addition to a strong academic foundation, data scientists need to possess various technical and soft skills. Some of the most important skills for data scientists include: BrainStation’s Data Scientist career guide can help you take the first steps toward a lucrative career in data science.

The guide provides an in-depth overview of the data skills you should learn, the best data training options, career paths in data science, how to become a Data Scientist, and more. Speak to a Learning Advisor to learn more about how our courses can help you become a Data Scientist. By clicking “Submit”, you accept our Terms. Couldn’t submit! Refresh the page and try again? There are many ways to become a Data Scientist, but because it is generally a high-level position, Data Scientists have traditionally been well educated, with degrees in mathematics, statistics, and computer science, among others.

This, however, has started to change. In recent years, technology has advanced at an incredible pace, completely transforming the way we work and live. Businesses everywhere are now embracing data science and tapping into its potential to derive valuable insights from massive volumes of information. This shift has definitely elevated the importance of skilled data science professionals and their ability to apply their expertise across many industries. For those interested in this field and who want to learn how to become a data scientist, the most important question is whether to focus on hands-on experience, education, or mastering specific tools. The answer is a blend of all three and a few more steps.

Becoming a data scientist is one of the most rewarding career choices you can make. It’s all about persistence, curiosity, and willingness to develop a blend of technical and analytical skills needed for the responsibilities associated with the role. Although there are different approaches one could take in pursuing data science, the following steps to become a data scientist offer a clear and practical option toward success. The foundation of a career in data science begins with an undergraduate degree in a relevant field that can help you master programming languages, data handling, and statistical methods. Some popular choices include data science, computer science, mathematics, or statistics. Data scientists are like the private investigators of the data world.

They study large quantities of data and look for analytics insights. Then they use these findings to help their companies or organizations make smart and informed decisions. Data science is a quickly growing field, and salaries can rise into the six-figure range. As a data scientist, you can work for companies throughout the industry spectrum, and hold titles like computer systems analyst, data scientist, and computer and information research scientist. Want more information on the field of data science? Read on to learn more about the job, as well as Drexel University’s data science programs.

How to become a data scientist step by stepThere are different paths you can take to become a data scientist. Getting an education in data science, whether that is a master’s degree, a doctorate or a certificate, is a great way to build a strong knowledge foundation and signal to potential employers that you... But there are other ways to support your degree and help you stand out in the job market: If you want to enter the data science field, it’s important to have a mix of technical skills and nontechnical skills. Some of the most relevant technical skills are programming, machine learning and AI, and analysis. Equally important nontechnical skills include business savvy and communication.

Formations Data Scientist Devenez Data Scientist

People Also Search

Data Scientists Are Among The Top Jobs In The US.

In This Article, We'll Discuss How To Become A Data

Explore Educational Paths, Essential Skills, And How To Earn A

While There's No One-size-fits-all Path To Becoming A Data Scientist,

This Guide Focuses On Hands-on Projects And Practical Learning. It's