Fortune’s Best Data Science and Analytics Bootcamp since 2022
Become a Gen AI Data Scientist
Career-ready training. Fraction of the cost.
Live online bootcamp with hands-on projects, IBM certification, and guaranteed job readiness for only $1,195. Hands-on training with Fortune 500 instructors. IBM Certificate. No IT background needed.
Next batch starts August 9, 2026 — Sundays 2–4 PM CT and Wednesdays 7–9 PM CT.
Kickstart your AI career — try 2 classes free. Reserve your spot in our next cohort. No commitment required. Ask questions live.
Dallas Data Science Academy at a glance
- Nearly 1,000 graduates across 17 countries since 2017
- 70% job placement rate within 6 months of graduation
- 3.2 months average time to land a first data role
- 40% average career growth for career switchers
- 12 weeks from beginner to job-ready
- Small cohorts for personalized attention
- 5.0 star average rating across roughly 300 reviews, independently verified by Trust Index
- Graduates have landed roles at 68+ companies
Find the Right Path for You
Three distinct programs — choose by where you are today and where you want to go.
12-Week Gen AI Data Science Bootcamp — $1,195 (most popular)
For IT and non-IT professionals going career-ready. Live, instructor-led evenings and weekends covering Python, machine learning, NLP, and Agentic AI, with real projects, career coaching, and an IBM Gen AI certificate included.
AI Practicum — $595
For learners who want real project experience. A 6-week, mentor-guided program built around an actual client engagement: build production-style AI systems, work on real scoped problems, produce portfolio-ready deliverables, and apply responsible-AI practices throughout.
AI for Young Minds — $695
For high school and college students and the parents guiding them. A beginner-friendly youth track over 6 weekends: foundations of AI and data made approachable, creative hands-on projects, and safe, mentor-led small groups that build confidence for future study.
Why Choose Dallas Data Science Academy?
Industry-Recognized Certifications
Earn an IBM AI Certificate included in your tuition, plus preparation for Microsoft Azure and Google Cloud certifications valued at $3,000+.
Unbeatable Value
At $1,195, our program costs 75% less than typical industry bootcamps ($15,000) while delivering superior outcomes and lifetime access.
Expert Instructors
Taught by experienced data scientists from top US Fortune 500 companies. Get insider knowledge and industry connections.
Flexible Live Learning
Convenient evening and weekend sessions designed for working professionals. All sessions recorded for lifetime access, so you never miss important content.
Comprehensive Support
Small cohorts for personalized attention, dedicated Slack channel, weekly office hours, career coaching, and access to our active alumni network.
Built for Today’s AI Job Market
Hands-on projects using GenAI, Python, SQL, Tableau, and NLP, plus Agentic AI using Crew AI and AI Governance. Real business use cases from healthcare, retail, and social sectors — not just theory.
What’s included
- 12-week program covering Python, machine learning, and AI
- Live online sessions with real-time Q&A and collaboration
- Flexible evening and weekend schedule for working professionals
- Small cohorts for personalized attention
- IBM AI certification included in tuition
- Lifetime access to recordings, tools, and code templates
- Career coaching and 1:1 mentoring
- No IT background required — we start from the basics
Complete 12-Week Curriculum
Week 1 — Big Data Science Life Cycle
Understand the data science lifecycle, roles, and real-world workflows. Get hands-on with Tableau and Google Colab using Python. Learn data collection, storage, and processing fundamentals, plus an introduction to business problem-solving with data. Project: analyze a Dallas-based oncology hospital dataset to explore patient trends and treatment indicators.
Week 2 — Exploratory Data Analytics with Python
Perform descriptive statistics and visual analytics using pandas and matplotlib. Learn to frame questions, clean data, and summarize insights. Data quality assessment, handling missing values, statistical distributions, and hypothesis testing basics. Project: rank and compare USA school performance using open data.
Week 3 — Machine Learning: Regression
Learn supervised ML using regression algorithms (linear, lasso, ridge). Work with Python libraries enhanced by Gen AI recommendations. Model evaluation, performance metrics, feature selection, and engineering techniques. Project: forecast product demand in retail using past sales data.
Week 4 — Machine Learning: Classification
Build and evaluate classification models like logistic regression and random forest. Use AI agents like ChatGPT and Gemini to explain code and tune models. Confusion matrices, precision, recall, F1-scores, cross-validation, and hyperparameter tuning. Project: predict hospital patient readmission status from historical data.
Week 5 — NLP and Text Analytics
Process text data with tokenization, TF-IDF, and sentiment analysis. Apply Python-based NLP with LLM support to auto-summarize reviews. Text preprocessing, feature extraction, named entity recognition, and topic modeling. Project: analyze Amazon and Yelp product and service reviews.
Week 6 — Feature Engineering + Agentic AI Foundations
Prepare data using transformations, binning, and advanced encoding. Introduction to Agentic AI: autonomous agents and multi-agent systems. Building AI agents with LangChain and AutoGen frameworks. AI Governance fundamentals: ethics, bias detection, and responsible AI. Project: profile income levels across Texas counties using SQL, Python, and R-Studio.
Week 7 — IBM Gen AI Certification: Setup & Guidance
Begin the IBM Gen AI certificate journey with 1:1 mentoring support. Set up the IBM SkillsBuild platform and complete key modules. Understand generative AI foundations and applications, plus AI ethics and responsible AI practices. Project: solve foundational IBM lab exercises using AI agents like Claude and Perplexity.
Week 8 — Agentic AI Development + Advanced Labs
Build autonomous AI agents for data analysis and report generation. Multi-agent orchestration and tool-use patterns. AI Governance: compliance frameworks and regulatory considerations. Deploying Agentic AI solutions in enterprise environments. Project: build Gen AI-powered tools for summarizing reports and analyzing text.
Week 9 — Agentic AI Applications + Certification
Finalize IBM Gen AI modules with an Agentic AI focus. Build production-ready AI agents for business automation. AI Governance: model monitoring, audit trails, and accountability. Agentic AI portfolio projects and documentation. Project: complete a capstone quiz and reflection exercise for certificate readiness.
Week 10 — Agentic AI Career Prep + Resume Building
Position yourself for Agentic AI Specialist and AI Governance roles. Resume writing for emerging AI job titles. Mock interviews focusing on Agentic AI concepts. LinkedIn optimization for AI-focused career paths. Project: build and review your first resume draft and simulate basic interview rounds.
Week 11 — Resume Writing + Interview Questions, Part 2
Continue mock interviews with deeper business cases and Gen AI tool usage. Practice with 400+ interview questions compiled from past graduates. Job offer evaluation, career growth strategies, technical interview preparation, and coding challenges. Project: final resume draft and a full-length mock interview.
Week 12 — Freelance Project + Final Prep
Complete a startup freelance project with guidance from our mentors. Get access to 100+ Python and R code templates, Google Colab notebooks, and support forums. Project delivery and client communication skills, plus career transition planning. Project: deliver a working ML model for a business use case and submit results for feedback.
Career Outcomes
DDSA graduates have landed roles at 68+ companies. Your next opportunity could be just 12 weeks away. Most students start without prior AI experience — we help you grow from beginner to job-ready in 12 weeks.
Roles our graduates move into
- Agentic AI Data Analyst — transform business data into actionable insights using modern AI platforms and analytics tools. Ideal for beginners: the program takes you from fundamentals to job-ready skills.
- Applied ML Engineer — design, build, and deploy machine learning models for structured and unstructured data using industry-standard tools.
- LLM Prompt Engineer — work with large language models and prompt engineering.
- BI + GenAI Specialist — business intelligence, chart and graph design, and GenAI-powered reporting.
- Principal Data Scientist — senior technical leadership for experienced practitioners.
Career support included
- Portfolio development, GitHub setup, resume building, and interview prep
- Career coaching and 1:1 mentoring
- Global alumni network across 17 countries
- Credly digital credentials
Student Reviews
5.0 average rating across roughly 300 reviews. All reviews are from real students and independently verified by Trust Index.
“I attended Data Science Academy in Dallas in 2019, where I completed their data science course. Overall, it was a solid learning experience that helped me build a strong foundation in the field.”
“I joined the September cohort at Dallas Data Science Academy while exploring a career change, and this program exceeded every expectation I had. I’ve always loved math, statistics, and analytical thinking, so I was excited to dive in.”
“I recently completed the Data Science, Machine Learning & AI Bootcamp, and I can’t recommend the Dallas Data Science Academy enough! Coming back after a long career gap, I was unsure if I could keep up but joining this course was one of the best decisions I made.”
“Very detailed course and excellent Instructor, Vamsi. The course had a very good flow that made me more comfortable with grasping all the Data Science material. I definitely feel I’m well prepared for this skillset.”
“Getting certified in Generative AI, Data Science, and Machine Learning at Dallas Data Science Academy really changed the game for me career-wise. The program had a great mix of practical projects and real-world applications.”
“Highly Recommended! I recently completed an online Data Science course and found it to be an enriching experience. The program offered a well-structured curriculum covering key concepts thoroughly.”
Frequently Asked Questions
Got questions? We’ve got answers. Find everything you need to know about our data science bootcamp, from prerequisites to career outcomes.
- Do I need a technical background to join?
- No IT background required! Our program is designed for beginners. We start with Python fundamentals and build up your skills progressively. Many of our successful graduates came from non-tech backgrounds including finance, marketing, and healthcare.
- What’s included in the $1,195 price?
- Everything you need: 12 weeks of live instruction, IBM AI certification, all course materials, lifetime access to recorded sessions, hands-on projects with real datasets, career coaching, and job placement assistance.
- When are the live sessions held?
- Live sessions are held during convenient evening and weekend hours designed for working professionals. All sessions are recorded and available for lifetime access if you miss a session.
- What certifications will I earn?
- You’ll earn an IBM AI Certificate upon completion, which is recognized by major employers in the tech industry. We also provide preparation for Microsoft Azure and Google Cloud certifications.
- What’s your job placement rate?
- 70% of our graduates land data science roles within 6 months of graduation.
- What are the free introductory sessions?
- We offer two free sessions where you can experience our teaching style, meet the instructors, and get a preview of the curriculum. No commitment required — it’s our way of ensuring the program is right for you.
- What support do I get during the program?
- You’ll have access to instructors during live sessions, a dedicated Slack channel for questions, weekly office hours, career coaching, and lifetime access to our alumni network.
- Do I need to know programming before starting?
- No programming experience necessary! We start with Python basics and assume no prior knowledge. Basic computer skills and high school math are all you need to succeed.
- How is this different from university programs?
- We focus on practical, job-ready skills rather than theory. You’ll work with real datasets and client projects, learn from industry practitioners, and get hands-on experience that employers value — all at a fraction of the cost.
- What software will I use?
- You’ll work with tools used by real data scientists: Google Colab (with Gen AI), Tableau, Python, pandas, scikit-learn, and large language models like ChatGPT. Everything is free to use, and we’ll get you set up in the first week — no downloads needed.
About Dallas Data Science Academy
Transforming careers through practical data science education since 2017, with nearly 1,000 graduates across 17 countries. Dallas Data Science Academy has been named one of Fortune’s Best Data Science and Analytics Bootcamps every year since 2022, and is an IBM Partner, Microsoft Partner, AWS Partner Network member, and Google Cloud Partner.
Free introductory sessions
Kickstart your AI career by trying two classes free. Experience our teaching style, meet the instructors, and ask questions live. No commitment required. Attend free sessions.