Data science is a dynamic and exciting field that blends scientific methodologies with domain expertise. Data scientists are the architects of this process, combining programming skills, data manipulation techniques, and machine learning algorithms to build predictive models and discover actionable insights, making them indispensable to business and a range of industries, including healthcare, finance, and technology.
38%
The Bureau of Labor Statistics predicts that the employment of data scientists is projected to grow 38% from 2021 to 2031.
$128,000
Average salary for a data scientist in the United States, according to Indeed
250,000
Available data science roles in the US to fill by 2027, according to McKinsey Global Institute
Courses designed to help you learn data science for an immediate jumpstart into the workforce. Learn with a 1:1 mentor and land a job after graduating — or your money back.
Learn how to identify problems, improve your modeling skills, and document your work using the six-step Data Science Method.
Build data science skills and master machine learning techniques through a 100% online project-based curriculum
Build job-ready skills with 28 mini-projects and 3 capstones and an advanced specialization project
Work 1-on-1 with an expert mentor, industry career coach and student advisor
Learn the foundational Python, statistics, and probability skills needed to succeed as a data scientist.
Use Python to complete real-world coding exercises
Solve a real business problem — practice using data science tools to analyze and visualize data
Learn how to apply presentation techniques for executive, technical, and non-technical audiences
Master practical skills for problem-solving and strategic thinking through the use of data and analytics.
Complete 29 mini projects and two capstone projects
Choose a data set and conduct end-to-end analysis, synthesize insights, and create a presentation and share your findings
Work 1:1 with a mentor and career coach to build an interview-ready portfolio
Elevate your data science journey with these university-backed bootcamps. Graduate with job-ready skills and a university credential.
This 400+ hour curriculum is designed around two hands-on capstone projects and allows you to pick from one of three specialization tracks.
The Generalist Track will prepare you for versatile data science roles across various business domains
The Business Insider Track will teach you advanced data visualization and business analytics skills
The Advanced Machine Learning Track will teach you advanced machine-learning skills and concepts
This 100% online bootcamp combines projects, lecture theory, coding, reading/viewing, and career-related coursework with 1-on-1 mentorship from an industry expert.
Learn vital data science concepts and associated skills, including Python, SQL and databases, statistical interference and machine learning
Career-focused units help you create a job strategy, practice for informational interviews, and negotiate salary
Work through various technical units designed to help you establish industry-relevant skills.
Cover key data science concepts and skills designed to prepare you for a career in the industry
Each unit features a range of materials, including lectures, projects, coding practice, and assorted exercises
Build two hands-on capstone projects, designed to serve as portfolio centerpieces for hiring managers
Just getting started in data science? These short (or free!) courses will help get you familiar with data science basics and set a solid foundation for future learning.
Learn foundational Python, statistics, and probability skills to better prepare you for more in-depth data science courses.
Use Python to complete real-world coding exercises
Get comfortable with aspects of basic probability
Solve a real business problem — practice using data science tools to analyze and visualize data
This course is a perfect start for anyone looking to become familiar with key analysis tools.
Learn to examine key data analytics concepts via readings, videos, and a special case study
Practical how-tos of the many data science toolkits such as Excel, Python (and various libraries), Tableau, PowerBI, and many others
Learn analytics fundamentals, get hands-on project experience, and work 1-on-1 with an industry mentor.
Build your Excel skills using key functions to analyze a dataset
Solve problems by using frameworks and structured thinking foundations used by actual analysts
Turn data into insight and learn how to communicate your findings to different teams
The great news is, you don’t need prior experience to become a data scientist. There are plenty of ways to acquire a data science skillset on your own.
Discover the best data science bootcamps this year and gain the skills & knowledge needed to excel in this high-demand field.
A guide full of steps to help you learn data science and go from being a novice to being job-ready in the field of data science.
Find out what kind of data scientist roles are out there and what it takes to succeed in a career as a data scientist.
A guide to tell you everything you need to know about becoming a data engineer, and what to expect once you’re hired.
With our 9-step guide, you’ll be able to plan out and visualize clear goals that will help you progress on your journey to becoming a data scientist.