Data Science Bootcamp
The most trusted training to help you succeed in the world of data science.
Upcoming Cohort
Winter 2022
Start Date
January 19
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. Data Science Bootcamp employs a business-first approach to help you stand out in the market.
Bootcamp Highlights
Key Features
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 during the bootcamp.
- Instructor-Led Training
- Dedicated Office Hours
- Strong Alumni Network
Hassle-Free Programming
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.
- Code from Your Browser
- Programming Tutorials
- Additional Exercises
Continued Learning
Your journey doesn’t end with this program. 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.
- Post-Bootcamp Tutorials
- Publicly Available Datasets
- Blogs and Learning Material
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.
In Partnership with UNM
Are you an employee at the University of New Mexico?
You can get additional benefits, along with a data science certificate, from our training programs.
Comprehensive Curriculum
Overview
You will get access to a learning platform with pre-training material. The tutorials will ensure that you are ready for the training. You will hear war stories and anecdotes from the trenches, along with the importance of always being in think-business-first mindset, how to make the most out of datasets by using exploration and visualization techniques to tell meaningful stories.
Topics
- Importance of ‘Data’ in Data Science
- Data Exploration and Visualization
- Feature Engineering
- Storytelling with Data
- Modeling a Real World Predictive Analytics Problem
Overview
You will learn to build predictive models with Supervised learning techniques and practice all the fundamental statistical and mathematical techniques needed for a data scientist in today’s world. You will develop expertise in cross-validation techniques to make the most out of machine learning libraries and participate in a Kaggle competition.Topics
- Decision Tree Classification
- Building and evaluating classification models
- Generalization and overfitting
- Cross validation
Overview
You will learn ensemble-based approaches to building predictive models and learn to pick the right evaluation metrics and KPIs relevant to your use case and make the most of your data. Learn how to develop a working model, deploy it in real-world products and to run an online experiment.Topics
- Random Forest and Boosting
- Bagging
- Hyperparameter Tuning
- Online Experimentation and A/B Testing
- Deploying a model as a web service on Azure ML
Overview
You will get hands-on experience in R and Python along with vital techniques for machine learning. You will learn text analytics to analyze unstructured data, clustering for unsupervised learning, and linear models for regression using gradient descent.Topics
- Introduction to Text Analytics
- Stemming and Lemmatization
- Measuring document similarity
- Unsupervised Learning and k-means Clustering
- Linear Models for Regression
- Regularization and tuning of linear models
Overview
You will learn to build recommender systems with collaborative and content-based methods. You will be introduced to modern topics in data science such as Big Data, Real-Time Analytics, and the Internet of Things. You will understand the challenges of working with machine learning models at scale. Learn to manage the end-to-end process of handling data from extraction to analyzing the data in real-time.Topics
- Recommender Systems
- Introduction to Big Data Engineering
- IaaS, PaaS, SaaS
- Scaling out vs Scaling up
- Real-Time data streaming
Topics
Your learning continues after the bootcamp with self-directed labs and tutorials to practice and strengthen your skills.Tutorials
- Naive Bayes
- Logistic Regression
- Time Series Forecasting
- R Shiny Interactive Dashboards
- Churn Analysis
- Resume Analyzer
- Survival Analysis
Labs
- Azure SQL Database
- HBase
- Hadoop
- HDInsight
- Azure PowerShell
- Mahout
- Spark
- Live Twitter Sentiment Analysis
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 & 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 & Storytelling
You will learn how to make the most out of datasets by using exploration and visualization techniques to tell meaningful stories.
Statistics & Mathematics
You will learn and practice all the fundamental statistical and mathematical skills needed for a data scientist in today’s world.
Key Tools & 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 & 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, deploy it in real-world products, and to run an online experiment.
Endorsed by 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.
Recommended by Practitioners
Fredric Cheung
Ad-tech Consultant
Data Science Dojo was the best boot camp I have attended hands down! The courses, content, and instructors made a very complex space seem digestible.
Akshita Garg
Program Manager
David Wechsler
Principal Systems Engineer
Learning Plans
Dojo
$2799
$3799
- Instructor-led training
- Course material
- Restricted access to learning platform
Guru
$2999
$3999
- Everything in Dojo plus
- Course material
- Restricted access to learning platform
- Verified certificate
- Daily office hours
- 6 months access to learning resources
- Recordings of all live sessions
- Repository of practice materials
- Tutorials for continued learning
- R/Python Jupyter Notebook
- Software subscriptions
Practicum
$9999
- Everything in Guru plus
- 3 month data science internship
- 1:1 mentoring with data scientists
- Mock interviews
- Data science portfolio
- Career support
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.
Deferred Payment
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.
Frequently Asked Questions
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.
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 [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.
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.
If you want to learn more about our trainings, register for an online info session.