• duration
    Duration
    28 Weeks
  • duration
    Category
    Data Science
  • duration
    Upcoming Cohort
    Jan 15, 2024

Become a Data Science and Analytics Professional in 28 Weeks

The online Data Science and Analytics Bootcamp* is a hands-on, 28-week training program for IT professionals who want to advance their careers. Our rigorous curriculum includes live lectures, workshops, and weekly projects covering employer-aligned skills, including Transact-SQL, Excel, PowerBI, data visualization, Python, NumPy, Matplotlib, Seaborn, and Pandas. Our industry-expert mentors provide real-world insight and advice to help you through the bootcamp and in your career.

*non-credit
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Data Science and Analytics Bootcamp
Learning Experience

capstone-project

Immersive Capstone Projects

We work with industry experts, hiring managers, and Data Science and Analytics professionals to curate a leading-edge curriculum. Your portfolio will demonstrate your understanding and proficiency in top Data Science and Analytics skills and highlight project experiences from your 28-week program.

mentoring

Virtual Office Hours

Meet with industry-expert mentors throughout your bootcamp experience to identify your career interests, goals, and opportunities. Virtual office hours are also available for up to twelve months after program completion.

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Career Support

QuickStart’s career services will support your career growth. Online learners will have access to resume building resources and mock interviews, as well as internship and job opportunities.

Bootcamp Courses

Through our partnerships with top technology organizations, we’re able to offer leading-edge IT training and coursework designed for the future of the field. Each bootcamp course will prepare you with new skills and tools to pass top industry and career-relevant certifications.

  • Week 1-2
    Introduction to Data Science and Analytics
    This first course in this series will introduce you to fundamentals of data and its analysis, statistics and machine learning basics.
  • Week 3-4
    Introduction to Mathematics for Data Science
    This course will cover the foundational mathematics for data science. You will learn mathematical concepts such as standard deviation, confidence intervals, derivates and integrals, correlations, and linear algebra.
  • Week 5
    Analyzing and Visualizing Data with Excel
    Learn to analyze and visualize data using Excel, one of the leading data tools. In this course, you’ll learn to import and merge data sets and prepare data for analysis. This course will also cover essential Excel functions and the DAX calculation engine.
  • Week 6
    Microsoft Power BI Data Analyst – PL-300
    You will dive deeper into using Power BI to analyze and visualize data. Based on twelve modules, you’ll cover desktop data transformation, desktop modeling, desktop visualization, Power BI service, connecting and collaborating with Excel, direct connectivity, develop API and mobile application.

    Beginning with Python fundamentals, this course will cover the basics of Python syntax and functions. You will also cover NumPy, plotting with Matplotlib, Seaborn, and Pandas.
  • Week 7-8
    Project 1: Exploratory Data Analysis
  • Week 9-10
    Introduction to Python for Data Science
    Beginning with Python fundamentals, this course will cover the basics of Python syntax and functions. You will also cover NumPy, plotting with Matplotlib, Seaborn, and Pandas.
  • Week 11-12
    Essential Math for Machine Learning: Python Edition
    Designed to support students in machine learning coursework, this course covers essential math concepts, including neural networks, decision trees, clustering and logistic regression models.
  • Week 13-14
    Data Science Research Methods: Python Edition
    This course will focus on essential research methods, specifically for use with Python. The coursework will cover data gathering and scraping, analysis and documentation, how to formulate a hypothesis, developing a research plan, and analyzing conclusions.
  • Week 15-16
    Application of Machine Learning: Python Implementation
    In this course, you will learn about the application of machine learning and Python concepts covered in previous coursework. You will study regression, model tuning, clustering, logistic regression, neural network and decision tree implementation.
  • Week 17-18
    Project 2: Machine Learning
  • Week 19-20
    Querying Data with SQL
    This course will cover querying tables with SELECT, along with use functions, subqueries, table expressions, data modification, and error handling.
  • Week 21-22
    Data Presentation and Visualization
    To prepare students to best present data findings, this course will focus on data visualization, communication, and display skills.
  • Week 23-24
    Project 3: Data Querying and Cleaning
  • Week 25
    Ethics and Law in Data and Analytics
    During this course, you will learn about ethics in data science, GDPR compliance, law, morals and ethics in machine learning, and parameters around personal data use.
  • Week 26
    Analytics Storytelling for Impact
    In this course, you will learn how to convey the story your data presents.
  • Week 27-28
    Capstone Project: Covid-19

Choose Your
Learning Track

28 WEEKS

Next Cohort:
Jan 15, 2024
  • Virtual Hands-On Labs Virtual Hands-on labs sharpen your skills and prepare you for real world scenarios.
  • Virtual Office Hours Meet live with your mentor for guidance, discussion and deeper learning.
  • Capstone Projects Capstone projects will demonstrate to employers the skills and knowledge you acquired through the bootcamp.
  • Career Services QuickStart’s career services assist students in their efforts in finding a role in Data Science and Analytics through resume building, mock interviews, and internship and job opportunities access.
  • Annual Course Access With any learning track, students have 12 months’ access to 100+ courses.

Immersive
Data Science and Analytics Bootcamp

$7,900*

*Pre pay discount available

This learning format features two, 2-hour live sessions per week. This format is ideal for students who want instructor support and have a more flexible schedule.

Explore Pricing Options

28 WEEKS

Next Cohort:
Jan 15, 2024
  • Virtual Hands-On Labs Virtual Hands-on labs sharpen your skills and prepare you for real world scenarios.
  • Virtual Office Hours Meet live with your mentor for guidance, discussion and deeper learning.
  • Capstone Projects Capstone projects will demonstrate to employers the skills and knowledge you acquired through the bootcamp.
  • Career Services QuickStart’s career services assist students in their efforts in finding a role in Data Science and Analytics through resume building, mock interviews, and internship and job opportunities access.
  • Annual Course Access With any learning track, students have 12 months’ access to 100+ courses.

Flex
Data Science and Analytics Bootcamp

$5,100*

Students attend one, 2-hour live session per week. This format is ideal for students who are comfortable with asynchronous work.

Explore Pricing Options

Learn from Industry Experts

Our instructors have years of experience in information technology and data science. With the support of our instructors, you will develop the framework to solve problems data scientists professionals face daily.

Khurram Pirzada

Data Science and Analytics Instructor

Khurram is a Data Scientist and an AI/ML subject matter expert. In his experience working in data related roles, he was part of a research team investigating environmental data, developing statistical models for impact analysis and the predictions of future rate of change. Most recently, Khurram has worked to investigate climate and environmental changes caused by numerous factors and how the changing patterns impact the whole ecosystem. His favorite saying - “Nothing in nature is licensed!”.

Texas Tech University's Bootcamp Outcomes

Texas Tech University's Data Science and Analytics Bootcamp prepares students for successful IT careers. We pride ourselves on helping students achieve their career goals by empowering them with applied and in-demand skills and certifications.

  • portfolio
    Portfolio
    Building
  • real-world-objects
    Real World
    Projects
  • on-demand-mentoring
    Virtual Office
    Hours
  • Learn Top Data Science Skills

    Study industry-aligned competencies and develop skills through virtual hands-on projects

  • Earn Employer-Aligned Certifications

    Master the skills to pass top data science and analytics certifications

  • Start Your New Career Path

    Complete the program prepared for an entry-level data science and analytics role and equipped with career resources from QuickStart

Data Science and Analytics Bootcamp
Admissions Process

Submit a Request More Information Form
  • 1

    Our admissions team will review your form. If you have not scheduled a call with an advisor by the time your form is reviewed, one of our team members will reach out to you to schedule an interview.

  • 2

    You’ll interview with an admissions advisor to verify that the Data Science and Analytics Bootcamp is the right fit for your career goals. Your advisor will also answer your questions, cover financing options, and discuss next steps.

  • 3

    Upon enrollment, you will receive access to recommended coursework to prepare for the start of classes and get a head start on your learning.

  • 4

    Begin learning new skills in Texas Tech University’s Data Science and Analytics Bootcamp.

Career Services

This online bootcamp equips you with the necessary skills for an entry-level data science role. QuickStart’s career services include resume building, one-on-one mentoring, and mock job interview sessions to help you prepare for your next role.

career-counseling

Career Coaching

Focus on achieving your career goals through four, 30-minute sessions with a career coach.

interview

Interview Prep

Learn how to ace your data science and analytics interviews through constructive mock interviews.

resume

Resume Building

Build an analytical resume and portfolio with the help of QuickStart's career coach.

Boost Your Earnings
and Advance Your Career

Our program prepares students for a range of data science roles. While salaries and positions will vary, explore the career opportunities typically available to our program graduates.

*Source: Monster.com 2021

Texas Tech University Data Science and Analytics Bootcamp FAQs

What kind of bootcamps do you offer?

We offer cybersecurity, data science & analytics, cloud engineering, software engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, web development, data science & analytics, cloud engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, web development, data science & analytics and AI & ML bootcamps for immersive and flex learning tracks.

We offer cloud engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, data science & analytics, cloud engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, data science & analytics and cloud engineering bootcamps for immersive and flex learning tracks.

We offer cybersecurity, software engineering, data science & analytics, cloud engineering, and AI/ML bootcamps for immersive, flex and foundational learning tracks.

No, our flexible training hours allow you to balance academic and professional priorities. Pacing options are available based on your needs.

Immersive bootcamps are $7,900 and flex bootcamps are $5,100. We offer a pre pay discount, a variety of monthly installment options and a deferred monthly installment to cover bootcamp tuition costs. On-demand bootcamps cost $1,900 and are only able to be purchased prepaid.

*Deferred monthly installment eligibility depends on U.S. state of residence.

On average, flex and immersive bootcamps take about 28 weeks to complete.

Bootcamp scholarships are not offered for Texas Tech University bootcamp programs at this time.

Recommended prerequisites vary based on the bootcamp, but most programs require only basic IT experience and foundational programming knowledge.

Our bootcamps prepare students for entry-level roles. Our career services team is available to provide guidance to online learners in obtaining those roles.

Flex bootcamps offer 2 hour mentoring sessions once per week, and immersive bootcamps offer 2 hour mentoring sessions twice per week. On-demand bootcamps offer students up to five, 30-minute optional mentoring sessions if students need to ask questions or receive support on their capstone project.

Yes, our career coaches will help you with resume building, mock interviews, and internship/job opportunities.

Students are required to have a computer operating system with Windows to access training labs. The current lab environment does not support the Apple M1 chip.

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