Format:
    100% online
    Learn on your own time
    Duration:
    9 months
    15-20 hrs/wk
    Apply by:

    Cohort starts

    Build in-demand data science skills

    In the University of Massachusetts Global Data Science Bootcamp, you will work through technical units that will equip you with the skills needed to launch a successful career in data science. You’ll learn all aspects of the Data Science Method (DSM) through a curriculum built by subject matter experts, then test your learning. You won’t just learn — you’ll participate in solving real-world business problems and complete portfolio-worthy projects that you can show to hiring managers. Preview a selection of the units and capstone projects from the course below.

    The Python Data Science Stack

    Python has become the lingua franca of data science. In this section of the course, you'll learn how to program in Python, follow best coding practices, and start using an ecosystem of useful and powerful Python-based tools.

    SQL and Databases

    In this section of the Core material, you’ll learn how to leverage Structured Query Language (SQL) to query relational database management systems. In other words, you'll use queries to understand the data contained in databases.

    Data Storytelling

    A data story is a powerful way to present insights to your clients, combining visualizations and text into a narrative. Storytelling is an art and needs creativity. This section will try to get your creative juices flowing by suggesting some interesting questions you can ask of your dataset. It will also cover a few plotting techniques you can use to reveal insights.

    Final capstone

    This capstone takes place later in the bootcamp and has less guidance. You’ll be asked to:

    • Come up with a project idea and proposal

    • Find and wrangle data

    • Use exploratory data analysis techniques to understand that data

    • Pre-process and create a training dataset

    • Build a working model

    • Document and present your work

    Specialization areas

    Within the core curriculum, you’ll be able to choose from one of three specialization tracks, where you can learn specialized skills to help you stand out from other data scientists.

    The Generalist Track

    This track will prepare you to take on versatile data science roles across a wide variety of business domains and geographical locations. You’ll build on the foundational skills you learned in the core units and tackle more advanced topics like working with Big Data and software engineering best practices.

    The Business Insider Track

    This track aims to teach you advanced data visualization and business analytics skills to extract actionable business insights. While you will have the ability to build predictive machine learning models, you'll primarily focus on learning how to identify insights and effectively communicate recommendations.

    The Advanced Machine Learning Track

    This track aims to teach you advanced machine learning skills and concepts, including deep learning and the deployment of machine learning models on standard industry platforms. If you want to broaden your machine learning skills, this track may be the right one for you.

    Fit learning into your life

    • Learn on your own time: No need to quit your job. View lessons and work on projects on your schedule.

    • Build study plans that work for you: Complete the course sooner by putting in more hours per week.

    • Get unlimited 1:1 mentor support: Meet weekly with your personal mentor to receive feedback on projects, discuss blockers, and refine your career strategy.

    • Plan your future: Craft an engineering job search, practice interviews, and negotiate offers with 1:1 career coach calls.

    UMass Global

    Receive 1:1 mentorship from an industry expert

    At UMass Global, we ensure that you have full access to skilled mentorship throughout our Data Analytics Bootcamp. You’ll meet weekly with your mentor, but we also allow our students unlimited access to additional calls with mentors in our community. This service is provided at no additional cost, as we believe that you should always be able to get the help you need to succeed.

    Ryan Rosario
    Data Scientist
    Eric Rynerson
    Senior Data Scientist
    Sameera Poduri
    Data Science Manager
    Ike Okonkwo
    Data Scientist

    Learn from the best in the industry

    Since 1958, University of Massachusetts Global, formerly Brandman University, has provided working adults the education they need to be successful in their lives.

    • 13,000+ students study with UMass Global each year.

    • 90% of students balance their education with work.

    • 56% of students balance their education with parenting.

    University of Massachusetts Global is a private, nonprofit affiliate of the University of Massachusetts system, and is regionally accredited by the WSCUC Senior College and University Commission (WSCUC). Check our sources at umassglobal.edu/sources.

    UMass Global Students

    Apply Now:

    UMass Global 16355 Laguna Canyon Road Irvine, CA 92618

    Copyright © 2022

    Springboard

    UMass Global 16355 Laguna Canyon Road Irvine, CA 92618

    Copyright © 2022

    Springboard