FREE-or-Land-Job BootCamp

From Graduation in a Quantitative Field to a Data Science Career

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What is this BootCamp About?

To prepare you get hired as a professional data scientist!

What do You Need to Get Hired?

• Learn the Skills

  • Programming, Statistics & Probability, Data Manipulation & Cleaning
  • Machine Learning & Deep Learning & Reinforcement Learning
  • Version control, Writing modular production-ready code, MLOps, MLflow, Docker, CI pipelines
  • Big data tools, Cloud platforms

• Develop Portfolios

  • Build at least 6 extremely high-quality end-to-end advanced projects on real-world (not toy) datasets
  • Publish them on GitHub. Pay close attention to how you present them, or they will be ignored.
  • Participate in Kaggle competitions
  • Contribute to open-source projects

• Resume & LinkedIn

  • Tailored to your applications, or you will be ignored.

• Network

  • Connect to other data scientists, hiring managers, recruiters

• Ace all Levels of Interviews

  • Recruiter call
  • First-level technical interview
  • Mission impossible day (whole day — multi-subject — many people)
  • Negotiate your salary (or lose ~10k–30k per year)

Bootcamp’s Structure

  • • Part 1:

    • Develop all that is needed to get hired (as listed above)

  • • Part 2:

    • Career support to help you land your ideal job

Part 1 - Skill Development

  • • We guide you through 27 chapters

  • • Each consists of a course, a PartyTime project, and an advanced project

  • • Each has a unique subject like Machine Learning, Deep Learning, Reinforcement Learning, SQL, Big Data, MLOps, etc.

  • • We help you publish advanced projects to build your online presence the way that hiring managers look for

Part 1 - Learning Approach

  • • Chapter Speeds

    • No more than one chapter per week
    • You need to finish at least the Course and Party Time to move to the next chapter
    • There is no limit on how much time you need to finish each chapter

  • • What You Get per Chapter

    • Course: Google Colab Notebook
    • Party Time Project: Google Colab Notebook
    • End-to-End Advanced Project: VS Code
      • A comprehensive guide on how to turn the PartyTime Project into a professional-looking GitHub repo to build your online presence
      • How to turn them into web applications and deploy to the cloud to practice MLOps

Part 2 - Overview

  • • You will pay for Part 2 only after you land a job

  • • You need to pass Part 1 and its exam to qualify

  • • Sign-up for Part 2 is optional

  • • There will be a separate contract, independent of Part 1

  • • Starts after Part 1 and continues:

    • Until a job is secured, or
    • 12 months have passed

No Job After 12 Months?

  • • No payment required for Part 2

  • • Our entire 12 months of effort becomes FREE

Part 2 - Job Hunting Assistance

Our services include:

  • • Job Search:

    • Identifying the best-fit roles for you (both public and internal positions)

  • • Networking:

    • Direct outreach to recruiters or hiring managers

  • • Resume Customization & Interview Prep:

    • Tailor your resume to specific roles
    • Prepare for interviews and salary negotiations

  • • Continuous Support:

    • Receive ongoing guidance via email, direct messages, or live chats

Program Highlights

Step-by-Step Roadmap

100% done-for-you structured schedule outlining exactly what to learn at each stage.

Weekly Live Sessions on Demand

Personalized, instructor-guided support sessions to solve your challenges along the way.

Build Your Online Presence & Portfolio

Work on real-world projects, receive expert reviews, and showcase your work on GitHub.

Technical & Soft Skills

Master all skills needed to land a job, from machine learning to interview & resume prep!

Job Application Prep & Mentoring

Step-by-step guide on job search strategies, networking, and application materials!

Get Support When Needed

Connect with mentors for help, ask questions anytime, and join group discussions to learn and grow together.

Application Process

1. Submit an Application

Complete the application form below to help us understand your needs and interests.

2. Application Review

We will go through your application materials and make sure this program is the right fit for you.

3. Admission

You will receive an offer of admission, which can be accepted by signing the documents.

What You'll Learn

  • Fundamentals: Programming - Statistics - Probability
  • Data Manipulation and Visualization
  • Machine Learning
  • SQL and Databases
  • Deep Learning
  • Specialized Topics: NLP - Time Series - Gen AI - MLOps
  • Real-World Projects
  • Develop Industry-Specific Knowledge
  • Build Your Portfolio and Online Presence
  • Prepare for Job Applications

Tools You'll Master

Linux
Git
Python
Regex
SQL
Pandas
NumPy
Matplotlib
Seaborn
Plotly
Scikit-learn
PyTorch
LangChain
Prophet
NetworkX
NLTK
SpaCy
Docker
AWS
GCP
Azure
Hadoop
Apache Spark
Tableau
Power BI
BeautifulSoup
Selenium
Scrapy

Program Certification

Upon successful completion of the program and passing the final exam, you'll receive a certificate testifying to your expertise in data science. The final exam is designed to match the interview questions at top US companies.

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Who Is This Program For?

Physics, math, engineering, and related majors who are good in Math and Python programming.

Apply to Part 1 of BootCamp