Do I need prior experience with data or coding?

No prior experience is required. Our bootcamp starts with Python fundamentals and teaches you everything from scratch. We focus on building a strong foundation before moving to advanced machine learning concepts.

Do I need to have previous experience in programming to join the bootcamp?

No, previous programming experience is not required to join our bootcamp. All you need is the desire to learn. We believe that everyone has the potential to code, and we'll help you discover it! If you can already open your browser and check Facebook, you're off to a great start! Ready to begin your coding journey? Check out our available bootcamps: Read about our Online Coding Bootcamp for flexible learning options. Learn more about our Data Science Bootcamp to dive into data science. Explore our comprehensive Coding Bootcamp that covers everything from the ground up. We also have a lot of free content on our website 4geeks.com to help you get started.

How do I stay motivated learning on my own?

You're never truly alone! Our AI tools provide instant feedback, you have access to mentorship sessions, and our active community of learners is always available for support and collaboration. Many students find this combination keeps them more engaged than traditional classes.

How long does it take to complete the Data Science program?

The self-paced program can be completed in as little as 16 weeks with dedicated study. However, you have lifetime access to all materials and can learn at your own pace-whether that's 30 minutes a day or intensive weekend sessions.

What tools and technologies will I learn in Data Science?

You'll master Python, Jupyter Notebooks, Pandas, NumPy, Matplotlib, Seaborn, SQL, Scikit-learn, TensorFlow, Keras, and Flask. These are the industry-standard tools used by data scientists and ML engineers worldwide.

Data Science and Machine Learning

Data Science and ML are among the fastest-growing careers through 2030. Our intensive program is built to get you hired, backed by an AI-first methodology, unlimited 1:1 mentorship, and lifelong career support.

+6000 graduates

Build and deploy ML models end to end, from raw data to live application.
Work with AI tools and coding agents to analyze, model, and automate faster.
Graduate with a production-ready DS and ML portfolio that gets you hired.

Your tutors:

Charly Chacón

Main Instructor

Rigo

AI Tutor

Named Forbes Advisor's Best Online Data Science Program with a Job Guarantee, 2025. Graduates land roles paying $80K–$150K+.

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18-week intensive program

Optional Job Guarantee

1:7 Student-to-Instructor Ratio

Unlimited 1:1 Mentorship

AI-Powered Learning & Feedback

Real Outcomes. Real Numbers.

6,000+ graduates. Strong outcomes across the board.

84%

Average hiring rate

55%

Average salary increase at new position

3-6 months

Average time to get hired

The demand is there. The talent isn't.

Why Data Science Now

Data scientists and ML engineers are among the fastest-growing roles globally. The World Economic Forum identifies AI and big data specialists as the top emerging jobs through 2030. Only the professionals who can turn raw data into intelligent systems will lead what comes next. That gap is your opportunity.

More New AI Roles Than Job Losses

Annual delta · 2021-2025 · indexed

+340%

net new AI roles created since 2021

2021

2022

2023

2024

2025

Displaced

Created by AI

Demand Is Outpacing Supply

McKinsey Global Institute · 2026 projection

50%

demand for data scientists will exceed supply by over 50% in 2026

50%supply gap

Available talent50%

Market demand50%

50%supply gap

50%

demand for data scientists will exceed supply by over 50% in 2026

Available talent50%

Market demand50%

Data Science Jobs Are Growing Fast

BLS projection · 2023-2033

36%

projected growth in data science jobs over the next decade

36% · 2033

Data Science and Machine Learning Program Overview

Master the industry-standard toolkit used by modern data teams. Go beyond simple analysis to build production-ready systems—from engineering raw data to deploying the predictive models that companies use to drive innovation and scale.

Weeks 1-3

Python Basics & Notebooks

Master Python fundamentals including conditionals, functions, and data structures
Work with Jupyter notebooks for interactive data exploration
Build a strong programming foundation for machine learning

Projects:

Complete Python exercises and create your first data analysis notebook

Weeks 4-6

Data Analysis & Visualization

Analyze and manipulate data with Pandas
Clean, normalize, and transform datasets
Create impactful visualizations with Matplotlib and Seaborn

Projects:

Build interactive data dashboards and exploratory analysis reports

Weeks 7-8

Data Collection with SQL, Scraping & APIs

Write SQL queries to extract data from databases
Scrape websites with BeautifulSoup
Work with REST APIs to gather real-world data

Projects:

Build a data pipeline that collects and processes data from multiple sources

Weeks 9-10

Math & Probability Foundations

Master probability and statistics concepts
Understand linear algebra fundamentals
Learn matrix operations that power ML algorithms

Projects:

Apply statistical analysis to real-world datasets

Weeks 11-14

Applied Machine Learning

Build regression and classification models
Implement decision trees, random forests, and boosting
Master clustering and time series forecasting

Projects:

Train, evaluate, and optimize ML models for real-world problems

Weeks 15-16

Deep Learning, NLP & Model Deployment

Build neural networks with TensorFlow and Keras
Implement natural language processing techniques
Deploy models to production environments

Projects:

Create and deploy a complete ML web application

The Most Personalized Path to Career in Data Science

From AI-powered feedback to unlimited 1:1 mentorship and lifelong career support, every part of the experience is built around you, not a classroom of thirty.

AI-powered feedback that never sleeps

Unlimited 1:1 mentorship, for life

Career support built for the AI job market

AI-powered feedback that never sleeps

Instant feedback from Rigobot, our custom AI tutor
Advice adjusted to your skill level and progress
24/7 help with debugging and problem-solving
Hundreds of interactive coding exercises and tests

Top rated across all major platforms.

4.9 on Course Report

4.8 on Google

4.9 on Career Karma

4.9 on SwitchUp

$90K–$150K

ML Engineer

$80K–$130K

Data Scientist

$80K–$120K

Data Analyst

The Roles You Can Land. And the Salaries That Follow.

High demand. High salaries.

Data science and ML roles are among the fastest-growing and highest-paying in tech. Companies across every industry are hiring urgently for professionals who can turn data into intelligence. These are some of the roles our graduates are landing, with entry-level salary ranges based on current US market data.

Where Our Graduates Work

From startups to global tech leaders, our graduates work at some of the most recognized companies worldwide

Ready to Become a Data Scientist?

Data Science is one of the fastest-growing careers in tech. This is your window. Join the next cohort.

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