Data Science Bootcamp
Comprehensive bootcamp to get you started with practical data science and data engineering
Aug 16 – Nov 29
Live instructor-led training: 3 pm – 6 pm pdt
Live office hours and support daily.
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.
Our data science bootcamp is the most popular and top-rated training in the industry. the training includes a diverse set of exercises, designed for all industries, along with a kaggle competition to keep you motivated during the bootcamp.
Access to cloud-based jupyter notebooks, allowing you to code from anywhere. you do not need to set up a dedicated programming environment. you can code from your browser with nothing but a working internet connection.
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
Delivery format: Instructor-led, live learning. Attendees will be given access to R/Python Jupyter notebooks for in-class and homework exercises.
Earn a Verified Certificate
Earn a data science certificate from the University of New Mexico, verifying your skills. step into the market with a proven and trusted skillset.
Taught by Practitioners
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.
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.
Finance Your Learning
Looking for financing options and student loans?
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 16-week program that is all classroom based. Practicum acts as an extension of the bootcamp. Once students complete the 16-week training, they continue with a 12-week internship within Data Science Dojo’s internal team. During this internship, students are expected to take what they learn during the bootcamp and apply that knowledge on projects the team is working on to create real business value and showcase their skillset.
Where the bootcamp lacks career services, Practicum makes up for it. Students in our Practicum program receive 1-on-1 mentoring and other career services not included in our 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.
If you are a University of New Mexico faculty, you may be reimbursed by the university up to $2500. Please contact [email protected] 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.
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.