Data Science Bootcamp

The most trusted training to help you succeed in the world of data science.

Upcoming Cohort

Summer 2021

Start Date

June 9

Duration

16 weeks

Learn Practical Data Science

The Data Science Bootcamp is designed to bring you the best training in data science, engineering, and machine learning. With our comprehensive curriculum, interactive learning environment, and challenging real-world exercises, you’ll learn through a practical approach. Our curriculum includes the right mix of lectures and hands-on exercises, along with office hours and mentoring. The Bootcamp employs a business-first approach to help you stand out in the market.

Bootcamp Highlights

Key Features

Our Data Science Bootcamp is the most popular and top-rated training in the field. The training includes a diverse set of exercises, designed for all industries, along with a Kaggle Competition to keep you motivated.

Hassle-Free Programming

Free access to cloud-based Jupyter Notebooks, allowing you to code from anywhere. You do not need to set up a dedicated programming environment. Code from your browser with nothing but a working internet connection.

Continued Learning

Your journey doesn’t end with this program. We have a rich database with tons of resources to keep you going. Our tutorials, demos, and exercises will be available even after the program to help you practice your newfound data science skills.
Bootcamp Certificate 1 » Data Science Dojo

Earn a Verified Certificate

Earn a certificate from the University of New Mexico (UNM), verifying your skills. Step into the market with a proven and trusted skillset. After completing the bootcamp, you will receive a verified certificate from UNM worth 7 Continuing Education Credits.

Comprehensive Curriculum

Pre-Work to Get Started

You will get access to a learning platform with pre-training tutorials. The tutorials will ensure that you're ready for the training.

War Stories and Best Practices

You will hear war stories and anecdotes from the trenches, along with the importance to always be in think-business-first mindset.

Data Fundamentals and Storytelling

You will learn how to make the most out of datasets by using exploration and visualization techniques to tell meaningful stories.

Statistics and Mathematics

You will learn and practice all the fundamental statistical and mathematical skills needed for a data scientist in today’s world.

Key Tools and Techniques

You will get hands-on experience in R and Python along with vital techniques for regression, clustering, and text analytics.

Hyperparameter Tuning

You will develop expertise in cross-validation techniques to make the most out of machine learning libraries.

Big Data Engineering

You will be introduced to modern topics in data science such as Big Data, Real-Time Analytics, and the Internet of Things

Evaluation Metrics and KPIs

You will learn to pick the right evaluation metrics and KPIs relevant to your use case and make the most out of your data.

Deploying a Model

You will learn how to develop a working model and deploy it in real-world products, and to run an online experiment.

Endorsed by CITREP+

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Are you a citizen or permanent resident of Singapore?
You may be eligible for up to SGD 3000 subsidy from CITREP+.

Expert Instructors

Our instructors are dedicated to helping you steer your career. With years of experience in the field, our instructors are professional data scientists and practitioners. They bring real-world stories and anecdotes to the class, adding immense value to your learning.

Trusted by Leading Companies

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Recommended by Practitioners

Harris Thamby, I.T. program manager at Microsoft and his team are responsible for the data platform and management for the real estate and security teams. Harris’s team took over data recently controlled by external vendors. As they onboarded the new data, they decided to build a data warehouse to store it. He attended our Seattle, October 2019 Bootcamp with his team. He loved how the concepts were joined with examples. With our training, he left with the confidence he needed to make more informed decisions with his data.

Learning Plans

Frequently Asked Questions

We are a technology-neutral and vendor-agnostic training. Both R and Python code samples will be shared with attendees.

Yes. Every live session is recorded and made available on the learning platform for review. However, there is a 75% attendance requirement for The University of New Mexico Certificate.

Yes, you will be receiving 7 CEU’s after completing the bootcamp. You will be able to request a transcript from the University of New Mexico by paying a fee of ten US Dollars.

Once you have completed the training, you will be issued a certificate that you can print or add to your LinkedIn profile for others to see, which confirms that the course was completed through the University of New Mexico Continuing Education.

If you are a University of New Mexico faculty, you may be reimbursed by the university up to $2500. Please contact help@datasciencedojo.com for more information.

We do offer discounts starting at 27% off. Discounts are available in limited quantities and offered on a first-come, first-served basis. You can also apply for loan through Skills Fund.

Each class period is 3 hours and occurs once per week for 16 weeks. Additionally, each week will have 2-3 hours of homework. You can reasonably expect 5-6 hours of time per week to be spent in class and on homework.

Contact Us

Feel free to ask questions or share your comments with us. We'll get back to you soon. You can also reach out to us by phone or email.