How to become a data scientist with expert-led courses | edX

How to become a data scientistLearn 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.Browse online data science programs and coursesStand out in your fieldUse the knowledge and skills you have gained to drive impact at work and grow your career.Learn at your own paceOn your computer, tablet or phone, online courses make learning flexible to fit your busy life.Earn a valuable credentialShowcase your key skills and valuable knowledge.What to expect from a career in data scienceData 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.How to become a data scientist: A step-by-step guideWhile there's no one-size-fits-all path to becoming a data scientist, these steps can make the move easier:Step 1: Earn a relevant degreeMany data scientist positions require formal education. Nearly all data scientists have at least a bachelor's degree in computer science, statistics, mathematics, or a related field. As competition gets tighter for entry-level roles, however, many employers seek applicants with a master's or doctorate degree in more specialized areas like artificial intelligence, machine learning, data science, or analytics.If you'd like to brush up on essential math for data science, or you're still exploring artificial intelligence and machine learning, online courses can help you learn the basics and build practical skills.Step 2: Learn key programming languagesThe most widely used programming languages for data scientists are Python and R. It may be best to begin with Python, as it's more beginner-friendly and has excellent tools for data work. Then, consider learning R for its statistical analysis abilities.You'll also want to get familiar with Pandas for optimizing datasets and NumPy for crunching numbers.Step 3: Build your data analysis toolkitData scientists have many tools of the trade to help them collect, analyze, interpret, and visualize data, including:SQL: Store and manage dataTableau or PowerBI: Visualize large datasetsJupyter Notebooks: Explore and interact with dataGit: Track of changes in source codeCloud platforms (AWS, Google Cloud, or Azure): Build and deploy machine learning modelsGithub: Showcase your skills through an online portfolioStep 4: Understand machine learning fundamentalsMachine learning is an essential skill for data scientists that requires both advanced math and computer science skills. Consider starting simple with basic supervised learning, where you essentially teach a computer to make predictions. Then, let computers find patterns on their own through unsupervised learning.Deep learning will require tools like scikit-learn and TensorFlow. For each learning stage, practice by using real-life data from Kaggle.Step 5: Gain practical experience and build your portfolioKnowing the theory is nice, but data scientists must prove they can actually do the work. Here are some ways to gain hands-on experience:Contribute to open-source projects to practice coding in real-world scenariosEnter Kaggle competitions to build your skills through friendly, motivating challengesBuild projects that solve real problems, which is often what employers look forShare your work on platforms like Medium or LinkedIn to showcase your expertise and grow your professional presenceNetwork with other data scientists to gain insights into their daily work and learn from their experiencesStart your data science journey with edXWhether you're starting with a course or pursuing a degree, edX offers flexible data science programs to fit your schedule and reach your career goals.Explore all online data science programs and courses Frequently asked questionsWhat is a data scientist?A data scientist uses math, statistics, and various computer software and technologies to store and analyze large amounts of data to find insights that help businesses improve their product or processes.How much does a data scientist make a year?Data scientists earn a median annual salary of $112,590 as of May 2024, according to the BLS. The highest 10% of data scientists earned over $194,410 in 2024.How long does it take to become a data scientist?If you already have a relevant bachelor's or master's degree, it can take one to two years to get familiar with the skills and technology required in data science. If you are already confident with coding or statistics, you could become a data scientist in roughly 6 to 12 months.