Class Introduction

Project Based Learning is data scientists working in a group to improve upon their skills by developing projects with hands-on experiences.

The purpose of Project Based Learning is to improve overall data science project experience & this includes statistical, programming, and business domain expertise. Projects are targeted but not limited to the follow domains: social media, e-commerce, finance, telecom, bioinformatics, real estate, technology, machine learning, recommender systems, visualization, Spark & Splunk, big data, deep learning, computer vision, & natural language processing & understanding.

Projects are run in three-set format:
1. Skill Assessment
2. End-to-End Development
3. Bring Your Own Data.

Duration: We offer two options for PBL (prospective students must prequalify):
1. Nine projects with three hack days
2. Six projects with two hack days

Days: Saturday & Sunday

Time: 10am – 6pm

$5,995 - Nine projects with three hack days
$4,995 - Six projects with two hack days

Prerequisites and Requirements: Knowledge of Python & machine learning techniques, as well as cleaning & processing information. Please call or email us to see if you qualify.

Do you offer a Certificate? Yes

Why you should take this class?

  • Hands-on learning that with real-life business projects,
  • In-person instruction from the experts in the data science,
  • Well-networked with the data science community,
  • You will build your project portfolio to build your career success.

How to Register? Fill the form or contact for more information regarding the course

Who is this class best suited for?

  • Someone looking to improve their knowledge and gain the skills with real world business portfolio of projects.
  • College students and recent graduates: Obtain the needed hands-on experience and fill the gap between school and real world demand.

Class Size: 7:1, student-to-teacher ratio.



Any Questions Call : 888-713-9711

Project Based Learning

PROJECT 1: Skill Assessment

Students will apply the Cross Industry Standard Process for Data Mining (CRISP-DM) standard in a provided data set to understand the process behind starting a new project. We will recommend individual students to tackle different aspects of CRISP-DM that need more practice in, such as visualization, data understanding, or modeling.

PROJECT 2: End-to-End Development

Students will undertake a new project from start to finish. This project will allow students to demonstrate their skills in data acquisition, data cleaning, data enrichment, modeling, evaluation, and deployment.

PROJECT 3: Your Own Data

As a third project, theDevMasters encourages students to bring their own data in their chosen domain for additional mentoring. Since these projects might entail more opinions & guidance, theDevMasters will proceed to transfer the third project over to the Mastermind group.