For a hands-on learning experience to develop Agentic AI applications, join our Agentic AI Bootcamp today. Early Bird Discount

Data Science Bootcamp

An introduction to data science and data engineering
Mastering Data Exploration and Visualization
Storytelling with Data and Predictive Modeling Techniques
Advanced Decision Tree Learning and Model Evaluation
Boosting, Ensemble Methods, and Hyperparameter Tuning
Deploying Models as a Service and A/B Testing for Online Experimentation
Unsupervised Learning, Text Analytics, and Recommender Systems

modules

months access to learning platform

12 +

CEUs

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 Seattle 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.

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.

Instructor

Learn from practitioners with extensive industry experience

Recommended by Practitioners