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Data Science Bootcamp

Data Science Bootcamp | Data Science Dojo
Data Science Bootcamp | Data Science Dojo
Data Science Bootcamp | Data Science Dojo
modules
16
months access to learning platform
12 +
CEUs
7
DESIGNED FOR EVERYONE

No technical skills required

We have carefully designed our data science bootcamp to bring you the best practical exposure in the world of data science, programming, 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. Our data science training employs a business-first approach to help you stand out in the market.

Curriculum

A lay-person’s overview to get you started with practical data science and data engineering.

Data Exploration, Visualization and Data Engineering
Dissect and explore data, form hypotheses, and validate them using various techniques through interactive exercises.

Storytelling with Data

Master storytelling to communicate insights effectively. Practice presenting analysis with clarity and impact.

Predictive Modeling for Real World Problems

Translate business problems into machine learning problems. Discuss common applications and the process of creating predictive models.

Decision Tree

Understand decision tree classification, node splitting, impurity measures, and how to adjust tree complexity using various parameters.

Evaluation of Classification Models

Understand and evaluate classification models using metrics like precision, recall, and F1 score.

Tuning of Model Hyperparameters

Learn hyperparameter tuning to build well-generalized models. Conduct practical exercises to prevent overfitting using cross-validation.

Ensemble Methods, Bagging, and Random Forest

Learn the importance of ensemble methods, including bagging and random forests, and explore key statistical concepts like Bootstrap sampling.

Boosting

Understand boosting techniques and sampling distribution. Examine AdaBoost and discuss its strengths, weaknesses, and potential pitfalls.

Online Experimentation and A/B Testing

Learn A/B testing, key metrics, and the differences between A/B, multivariate, and A/A testing. Avoid common pitfalls with real-world examples.

Deploying a Model as a Service

Set up real-time prediction endpoints in the cloud. Utilize predictive models to new data through practical demos.

Text Analytics Fundamentals

Convert unstructured text into structured data. Learn pre-processing techniques and model documents for finding similarities.

Unsupervised Learning and K-Means Clustering

Reveal hidden structures using k-means clustering. Categorize data based on common attributes through hands-on exercises.

Linear Models for Regression

Build a linear regression model for continuous numerical data. Optimize performance by adjusting regularization penalties and parameter updates. Regularization and Tuning of Linear Models

Ranking and Recommendation Systems

Learn the differences between collaborative and content-based recommenders, understand similarity measurements, and explore recommendation algorithms.

Big Data Engineering and Distributed Systems

Learn MapReduce and Hadoop basics. Explore Hive, Mahout, and Spark for distributed computing. Set up a Hadoop cluster.

Real-Time Analytics and IoT

Handle real-time data streaming. Build an ETL pipeline in the cloud for data extraction, processing, and analysis.
COMPLETE LEARNING ECOSYSTEM

More than just a course

Our data science bootcamp is not just a training program; it’s a gateway to mastering data science, with a variety of resources to support your learning journey.

Access hundreds of coding exercises, sandboxes, free tutorials and other bonus learning material.

Watch tutorials or practice coding in browser-based Jupyter notebooks and inline code runners. We call our learning platform a complete learning ecosystem.

Every attendee gets a dedicated compute and storage pre-configured with relevant libraries and packages.

In addition to the in-class exercises, attendees receive Python and R code samples that have been pre-tested.

All software licenses, subscriptions, tools, and computing resources are included. 

Get help from course staff, share ideas and discuss with your peers.

Dozens of other short courses and coding exercises are included in the registration.

Join the exclusive community of 11,000+ alumni globally. Discuss, collaborate, and expand your network.

ALUMNI COMPANIES

Trusted by Leading Companies

Our training programs are trusted by broad range of industries. Check out the list of alumni companies from your industry that have trusted us.

Instructors

Learn from practitioners with extensive industry experience
Instructor Raja Iqbal from Data Science Dojo, guiding participants through the LLM Bootcamp.

Raja Iqbal

Founder and Chief Data Scientist

Luis Serrano | Serrano Academy | LLM Bootcamp

Luis Serrano

AI scientist and popularizer

Recommended by Practitioners

Testimonial
At the end of the bootcamp I think all of us are at the same place, so that’s the beauty of this program. You could come from any background because we are covering some diverse topics here, and making sure it’s a level playing field and again, going back to to the motto of, hey, this is for everyone. Kapil Pandey, Analytics Manager at Samsung
CHOOSE A PLAN

Register Now

10th FEB - 14th FEB 2025

9AM – 5PM PT

Online / Seattle

Dojo

25% OFF
$3799
$ 2849
  • Instructor-led training
  • Course material
  • Restricted access to learning platform

Guru

25% OFF
$3999
$ 2999
  • Everything in Dojo plus
  • 1 year access to learning platform
  • Verified certificate
  • 1 year access to learning resources
  • Recordings of all live sessions
  • Repository of practice materials
  • Tutorials for continued learning
  • R/Python Jupyter Notebook
  • Software subscriptions
Certificate

Sensei

$ 4500
  • Everything in Guru plus
  • 5 hours of 1:1 mentoring with data scientists
  • Mentored project
CERTIFICATE
ACCREDITED CERTIFICATE

Earn a Verified Certificate

Earn a verified certificate from The University of New Mexico Continuing Education:

  • 7 Continuing Education Credit (CEU)
  • Acceptable by employers for reimbursements
  • Valid for professional licensing renewal
  • Verifiable by The University of New Mexico Registrar’s office
  • Add to LinkedIn and share with your network
Data Science Bootcamp Certificate | Data Science Dojo

Frequently Asked Questions

Is the training conducted in R or Python?

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

Are the live sessions recorded for viewing later?

Each live session is recorded and made available for review to both online and in-person participants a few days after the bootcamp concludes.

How many Continuing Education Credits (CEUs) will I receive?

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

What financing options do you offer?

Yes, we have partnered with Ascent Funding and Climb Credit to offer easy payment plans for those who are unable to pay upfront. Both financing partners offer a variety of options for students to consider. For more information, please visit our financing page.

What is the difference between in-person and online?

There is no difference between the online and in-person bootcamp in terms of curriculum and instructors. The only distinction is that breakfast, lunch, and beverages are provided at the in-person bootcamp.

Do you have any in-person part-time options?

No, we do not offer any in-person part-time options. The program requires a full-time commitment of 40 hours over 5 days.

What is the refund policy?

If for any reason, you decide to cancel, we will gladly refund your registration fee in full if notified the Monday prior to the start of the training. We would also be happy to transfer your registration to another bootcamp or workshop. Refunds cannot be processed if you have transferred to a different bootcamp after registration.

Will I earn a certificate from this data science bootcamp?

Yes! Once you have completed our Data Science Bootcamp, you will be issued a certificate in association with The University of New Mexico Continuing Education that you can print or add to your LinkedIn profile for others to see.

Are there any discounts available?

Yes, discounts are available. The Dojo and Guru packages are currently offered at a 25% early-bird discount. Please note that these discounts are limited and available on a first-come, first-served basis.

How many hours per week are we expected in class?

You are expected to be in class for 8 hours each day.

What backgrounds do people have that take this data science bootcamp?

We have had attendees from a wide range of backgrounds – software engineers, product/program managers, physicists, financial analysts – even medical doctors and veterinarians, attend and successfully completed our data science bootcamp. This bootcamp is for anyone who is curious about data science and willing to explore, segment, analyze, and understand their data in order to make better data-driven decisions. We recommend that you talk to one of our advisors before joining this data science bootcamp. If you would like to set up a time with one of our instructors, please let us know.

What kind of jobs can a data science bootcamp get me?

It depends on your capabilities and skills you have grasped while attending a bootcamp that will lead to a career track that you can choose in data analytics, but here are some jobs you can look forward to, based on your skillset:
Data Scientist
Data Engineer
Machine Learning Engineer
Data Analyst
Business Analyst / Product Analyst

If I have questions during the live instructor-led sessions or while working on homework?

Yes, our live instructor-led sessions are highly interactive. Students are encouraged to ask questions, and our instructors make sure to provide thorough responses without rushing. Additionally, discussions relevant to the topic being taught are actively encouraged. We also understand that questions may arise during homework. To support you, we have a dedicated Discord community where you can receive help from our instructors and connect with fellow students.

What is the transfer policy?

Transfers are allowed once with no penalty. Transfers requested more than once will incur a $200 processing fee.

Get In Touch

Please reach out to us for any questions about curriculum, registration, or requesting an invoice.

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