Data analytics involves collecting, cleaning, and interpreting data to make informed decisions, solve problems, and optimize processes. Data analysts use statistical techniques, programming, and domain expertise to extract valuable information from data sources. Data analytics is pivotal in various fields, from business and healthcare to finance and marketing, helping organizations make data-driven decisions that lead to greater efficiency and competitiveness.
Expected growth of the data analysis job market by 2032, according to the US Bureau of Labor Statistics
Average salary for an entry-level data analyst
Projected growth of the data analytics market from 2023-2030
Courses designed to help you learn data analytics for an immediate jumpstart into the workforce. Learn with a 1:1 mentor and land a job after graduating — or your money back.
Gain hands-on experience with Tableau, PowerBI, SQL, Python, and Excel while mastering essential real-world, data-driven decision-making skills.
Extract actionable insights from real-world datasets using data visualization tools and AI to assist with uncovering patterns
Learn from a curriculum developed in partnership with Microsoft, and gain the strategic thinking mindset you’ll need on the job
Complete 29 mini-projects and two capstone projects to build an interview-ready portfolio
Master the end-to-end data science process while gaining proficiency in Python, SQL, R, Pandas, and other essential tools needed to land a lucrative job in data science.
Develop job-ready skills by completing 28 mini-projects, 3 capstones, and an advanced specialization project tailored to your career objectives.
Explore 18 in-depth topics, including problem identification, data wrangling, statistical analysis, machine learning, and data storytelling.
Learn AI tools to uncover patterns and extract insights.
Elevate your data analytics journey with these university-backed bootcamps. Graduate with job-ready skills and a university credential.
Learn the technical skills needed to become a data analyst, including business statistics, analytics and visualization tools, and advanced analysis techniques.
Master industry-standard tools, including Excel, SQL, Python, Microsoft Power BI, and Tableau
Complete 20+ hands-on mini-projects and a capstone project to build an impressive portfolio
Access a curriculum built in cooperation with experts from top consulting firms, including McKinsey, Wharton, and Bain
Develop analytical and technical skills needed to land an in-demand data analytics job, including SQL, Power BI, Tableau, and more.
Learn problem-solving frameworks to develop data-oriented solutions to any business problem, making yourself indispensable in any industry
Access 1:1 mentorship and career-focused units to help you land your dream data analytics job
Demonstrate your new end-to-end data analytics skills in a portfolio-ready capstone project using real-world datasets
Start a new data analytics career with an industry-focused curriculum that will teach you the technical and analytical skills needed to solve business problems in any industry.
Master popular analytics and visualization tools, including Excel, SQL, Python, and Tableau.
Determine data-oriented solutions to real-world problems using the HDEIP Framework and the Five-Step Problem Solving Approach
Complete optional career units throughout the curriculum and access 1:1 career coaching to get you job-ready
Just getting started in data analytics? These short (or free!) courses will help get you familiar with data analytics basics and set a solid foundation for future learning.
Learn the fundamentals of the data analytics and data science process—including data visualization, machine learning, and statistics—and decide if a career in data analytics is right for you.
Get acquainted with visualization tools and techniques to convert structured data into powerful visuals, including Excel, Tableau, Power BI, and more
Complete 25 learnings, including readings, videos, and a special case study, all designed by an industry expert
Apply your learnings in a case study using a synthetic dataset for fraud detection in financial transactions
Don’t fret if you don’t have one. In this article, we’ll cover the skill sets you’ll need to become a data analyst without a college degree.
We decided 12 would be a much more manageable number, so we put together a comprehensive list of the best 12 data analytics bootcamps on the market.
In this guide, we will cover everything you need to know to become a successful data analyst, including where to start, the specific steps you need to take, and the relevant data skills you should learn along the way.
“The Springboard course was very well-structured for a non-technical person like me, starting with the simplest concepts and gradually moving to the harder ones. It helped build my confidence, and as I went through the course, my imposter syndrome went down.”
We’re going to break them down based on the technical skills, analytical skills, and communication skills that are expected of employees in each role.
The strong job outcomes for BAs coupled with competitive salaries and a diverse range of employment opportunities mean it is both a promising and exciting field for anyone considering a career change.
While many organizations seek candidates who have at least some experience in a business analyst role, there are ways to work around this requirement by developing and demonstrating the skills needed to do the job of BA.