• Application closes on

    31 May, 2026
  • Program Duration

    26 weeks
  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

Enroll your employees into this program, NOW!

Fast-track Your Career

After completing the course, learners have made successful career transitions, boosted career growth, and got salary hikes.

Graduate Achievements

Top-Reported Salary

$350k

Average Salary

$76k

Employers Hiring Grads

1500+

Our Alumni In Top Companies

Program Overview

Learn Data Analytics with UT Dallas in this online bootcamp. Gain skills in Excel, SQL, Python, Tableau, ETL, and GenAI, master industry tools, and complete hands-on projects and real-world assignments. Build practical expertise to analyze and become job-ready.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies

    Program Details

    The UT Dallas Data Analytics Bootcamp provides job-ready skills in Excel, SQL, Python, Tableau, ETL, and GenAI. Through 25+ real-world projects, you'll use advanced analytics and AI-assisted workflows to analyze data, build powerful insights, and launch your high-impact data analytics career.

    Learning Path

      • Begin your analytics journey by mastering Excel as a tool for business intelligence.
      • Learn to work with advanced formulas, pivot tables, and data-cleaning techniques to perform descriptive analytics.
      • Apply basic statistics and automation features like Power Query to streamline analysis and support data-driven decision-making.
      • Develop essential SQL skills to query, clean, and manage data stored in relational databases.
      • Build a strong understanding of database structures, write complex queries involving joins and window functions, and learn how to extract actionable insights from structured datasets used across business operations.
      • Develop essential SQL skills to query, clean, and manage data stored in relational databases.
      • Build a strong understanding of database structures, write complex queries involving joins and window functions, and learn how to extract actionable insights from structured datasets used across business operations.
      • Convert complex datasets into clear, interactive dashboards using Tableau.
      • Learn how to prepare and model data, design compelling visualizations, and apply advanced analytics features.
      • Focus on building executive-ready dashboards that simplify insights and support strategic decision-making across teams.
      • Build a strong programming foundation with Python, the most widely used language in data analytics.
      • Learn essential concepts such as data types, loops, functions, and data structures.
      • Develop the coding confidence required to manipulate data, automate tasks, and prepare for advanced analytics with Python.
      • Advance your analytics capabilities by applying Python to clean, analyze, and model data.
      • Use powerful libraries like NumPy, Pandas, and Matplotlib to perform exploratory analysis, build visualizations, and uncover patterns.
      • Learn regression modeling, time series analysis, and introductory supervised and unsupervised learning techniques to solve real-world analytical problems.
      • Gain a foundational understanding of Generative AI and Large Language Models (LLMs) and how they enhance modern analytics.
      • Learn prompt engineering strategies, explore AI-assisted problem-solving, and use tools like ChatGPT to accelerate exploratory analysis, documentation, and insights generation while maintaining ethical and responsible AI use.
      • Leverage Generative AI to automate and accelerate complex analytics tasks.
      • Integrate tools such as ChatGPT, Gemini, and Claude into your workflow to streamline ETL processes, generate visualization and report drafts, and enhance data storytelling.
      • Learn how AI can boost productivity, improve decision quality, and support end-to-end analytics delivery.
      • Develop the judgment and responsibility required to handle data ethically in professional environments.
      • Discover privacy standards, regulatory frameworks, and best practices for handling data fairly.
      • Understand concepts like bias, transparency, and responsible AI usage to ensure ethical decision-making in every step of the analytics process.
      • Build a real-world analytics solution using Excel, SQL, ETL, Python, Tableau, and GenAI.
      • Clean, analyze, and visualize data to deliver clear insights and a portfolio-ready project showcasing your end-to-end analytical skills.

    12+ Skills Covered

    • AI Assisted Analytics
    • Generative AI
    • Data Cleaning
    • Tableau
    • Dashboarding
    • Predictive Analytics
    • Regression Modeling
    • ETL Processes
    • Data Pipelines
    • Data Storytelling
    • SQL Querying
    • Python Programming

    21+ Tools Covered

    LSU_ExcelLSU_JupyterLSU_MySQLLSU_TableauLSU_ChatGPTLSU_AWS_GlueLSU_PythonLSU_NumpyLSU_MatplotlibLSU_PandasLSU_SeabornLSU_ZapierLSU_UizardLSU_invideoLSU_Otter_AILSU_JuliusLSU_MiroLSU_GeminiLSU_descriptLSU_Claude_AILSU_Data_Squirrel

    Industry Projects

    • Project 1

      E Commerce Dashboard

      Develop an interactive dashboard to analyze sales performance across regions and categories, offering insights into sales patterns.

    • Project 2

      Retail Data Management

      Integrate Excel and SQL to manage retail operations and prepare data for AI-based forecasting or recommendation systems.

    • Project 3

      Crime Analysis

      Analyze crime data to uncover spatial and temporal patterns and identify emerging crime hotspots using visualization and statistical insights.

    • Project 4

      Creating a Shopping App Using Python

      Build the backend for a shopping app, incorporating logic for recommendation systems or chatbot integration.

    • Project 5

      ChatGPT Based Storytelling

      Design an interactive storytelling experience using ChatGPT with dynamic narratives and creative branching paths.

    • Project 6

      Virtual Project Management Consultant

      Create prompt frameworks for ChatGPT to function as a virtual PM consultant providing insights and recommendations.

    • Project 7

      Financial Fraud Detection

      Build a fraud detection model leveraging EDA, SQL, and visual analytics to detect anomalies and patterns in transactions.

    • Project 8

      Patient Readmission Prediction

      Analyze patient data and apply machine learning to predict hospital readmissions and identify risk factors.

    • Project 9

      Predicting Customer Purchase Behavior

      Use analytics and ML to predict customer purchase trends, segment buyers, and inform marketing strategy.

    • Project 10

      Employee Performance Mapping

      Build an Excel dashboard to assess employee performance with productivity metrics and predictive trend analysis.

    Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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    An Immersive Learning Experience

    Learn from Industry Experts

    Learn from instructors focused to equip you with hands-on skills and industry first curriculum.

    Flexi Learn

    Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

    Mentoring session(s)

    Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

    Learning Support

    Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

    Learn from Industry Experts
    Learn from instructors focused to equip you with hands-on skills and industry first curriculum.
    Flexi Learn
    Mentoring session(s)
    Learning Support

    Program Advisors

    • Lakeisha Vance

      Lakeisha Vance

      MS in Technology & Management, UNC Greensboro

      Over 20 years of industry and leadership experience driving operational efficiency, enrollment growth, and improved job placements. Led major tech integrations that advanced reporting, visualization, and digital transformation across institutions.
       

    • Emily Rybinski

      Emily Rybinski

      MS in IT Business Intelligence & Data Analytics, Carnegie Mellon University

      Over 15+ years of experience shaping analytics and marketing strategies through data-driven measurement frameworks, large-scale content initiatives, and digital engagement improvements. Delivered brand growth by aligning analytics with organizational objectives.
       

    • Jared Teerlink

      Jared Teerlink

      MS in Business Analytics & Data Science, University of Texas at Dallas

      Designed enterprise-level predictive models that enhanced financial and operational performance. Built scalable analytics infrastructure, automated complex workflows, and developed high-impact AI solutions across business functions.
       

    • Bryan Kolano

      Bryan Kolano

      MS in Operations Research, Air Force Institute of Technology

      Directed mission-critical AI and analytics initiatives, built secure ML and ETL pipelines, and guided cloud architecture for enterprise environments. Delivered operational excellence through automation and scalable, high-value data solutions.
       

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    Career Support

    Career Assistance

    During your bootcamp and for a full year after your graduation, you can access the Fullstack Academy Career Success Program to help achieve your desired career outcomes.
    1:1 career coaching and interview prep

    1:1 career coaching and interview prep

    Access to a curated career success platform

    Access to a curated career success platform

    Career success workshops & career practicum lessons

    Career success workshops & career practicum lessons

    Alumni panels, guest lectures, and other industry events

    Alumni panels, guest lectures, and other industry events

    Batch Profile

    This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

    • The class consists of learners from excellent organizations and diverse industries
      Industry
      Information Technology - 53%Software Product - 26%Others - 21%
      Companies
      LinkedIn
      Google
      JPMorganChase
      Facebook
      Accenture
      Microsoft
      CloudFit Software

    Testimonial

    My goal was to actually do hands-on learning, and I think I'm a visual learner, so that's the best way for me to learn. Fullstack Academy was able to provide that for me.

    Paola Torres

    Data AssociateCFA Society Chicago

    What other learners are saying

    Admission Details

    Application Process

    The application process consists of three simple steps:

    STEP 1

    Submit Application

    Complete the online application form by providing the required information.

    STEP 2

    Reserve Your Seat

    Speak with your student advisor about the details of the bootcamp.

    STEP 3

    Start Learning

    Receive an admissions decision and start your program on the cohort date.

    Eligibility Criteria

    For admission to this Data Analytics Bootcamp, candidates should have:

    Be at least 18 years or older
    Have earned a high school diploma or GED equivalent
    No prior tech experience required

    Admission Fee & Financing

    The admission fee for this program is $7,995

    Financing Options

    We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

    Total Program Fee

    $7,995

    20% off

    $9,995

    Pay In Installments, as low as

    $800/month

    You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

    Apply Now

    Program Benefits

    • Completion certificate from UT Dallas
    • Fullstack Academy Career Success Services
    • Breaking into Tech with Fullstack Academy
    • GenAI Powered Industry-Relevant Curriculum
    • Get hands-on training with 25+ hands-on projects

    Program Cohorts

    Next Cohort

    Got Questions Regarding Cohort Dates?
    • Acknowledgement
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
    • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
    • Career Impact Results vary based on experience and numerous factors.