Data Science Bootcamp
Comprehensive bootcamp to get you started with practical data science and data engineering
8AM – 6PM PDT
Select a start date that fits your schedule.
Trusted by Leading Companies
Learn Practical Data
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.
Hands-on Coding Environment
Your journey doesn’t end with the bootcamp! we have a rich repository 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.
Our Bootcamp Curriculum
Data Exploration and Visualization, and Feature Engineering
We begin this module by first discussing how the performance of algorithms is directly dependent on the quality of the data and discuss the challenges and best practices in data acquisition, processing, transformation, cleaning, and loading.
After that, through a series of hands-on exercises and a lot of interactive discussions, we discuss how to dissect and explore data to improve our understanding of data.
We form hypotheses and discuss the validity of our hypotheses by using data exploration and visualization. In the end, we discuss how feature engineering techniques are used to extract the most relevant features that could be used for building models.
The module provides hands-on practice with in-class and supplementary exercises in R/Python and quizzes to validate your knowledge.
- Understanding how and why “data beats algorithms”
- Importance of data cleaning, data pre-processing, and business domain knowledge
- Interpretation of boxplots, histograms, density plots, scatterplots, and more
- Data visualization with ggplot2 in R and Matplotlib and seaborn libraries
- Feature engineering on categorical/numerical features
Earn a Verified Certificate of Completion
In association with
Recommended by Practitioners
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
Taught by Practitioners
Learning Plans and Schedule
A Plan of Your Choice
Select the plan that best meets your financial needs.
Interest Free Loan
Maximize your savings, pay only the original principal with no interest.
Start paying only after you've completed the training program.
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explore the student-friendly plans and start learning data science without having to worry about the cost.
We are a technology-neutral and vendor-agnostic training. Both R and Python code samples will be shared with attendees.
Yes, each live session is recorded and made available to students for review a few days after it has taken place.
The Data Science Bootcamp is a 50-hour live training program that is all classroom based. Practicum acts as an extension of the bootcamp. While students complete the 50 hours of live training, they will also be participating in a 6-month internship within Data Science Dojo’s team. During this internship, students are expected to take what they learn during Data Science Dojo’s programs and apply that knowledge on projects to create real business value and showcase their skillset.
Where the bootcamp lacks career services, Practicum makes up for it. Students in Practicum receive 1-on-1 mentoring and other career services not included in the bootcamp
Please note the bootcamp curriculum remains the same for both in-person and online formats while covering 50 hours of live, instructor-led training.
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.
If you are a University of New Mexico staff or faculty member, you may be reimbursed by the university up to $2,500. Please contact [email protected] for more information.
In-person Format: Each class period is 10 hours per day for 5 days. Each class day will also include about 2 hours of homework outside of class each day.
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.
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
Get in touch
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.