Mastering Applied Data Science + Deep Learning is a project-driven course that will teach students the practical aspects of Data Science, such as collecting data by web scrapping, validation of information in data by data analysis, comparing models created by ML and DL algorithms by interpreted metrics, and more. Additionally, we dive into the more enhanced aspects of data science by introducing topics, such as recommender systems, natural language processing (NPL), Deep Learning, and Computer Vision, which are all in everyday applications of AI. Our classes provide background and insights while solidifying the ideals through hands-on in-class projects and in depth real life business projects. Students are expected to present their findings and documentations on their journey throughout their project and explain further on what would be their next step to solve the business problem.



Mastering Applied Data Science is a project-driven course that will teach students the practical aspects of Data Science, such as collecting data by web scrapping, validation of information in data by data analysis, comparing models created by ML algorithms by interpreted metrics, and more. Additionally, we dive into the more enhanced aspects of data science by introducing topics, such as recommender systems, natural language processing (NPL), and Computer Vision, which are all in everyday applications of AI. Our classes provide background and insights while solidifying the ideals through hands-on in-class projects and in depth real life business projects. Students are expected to present their findings and documentations on their journey throughout their project and explain further on what would be their next step to solve the business problem.

The Project Based Learning course was designed 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.
Applicants should have knowledge of Python & machine learning techniques, as well as cleaning & processing information.
Projects are run in three-set format: 1. Skill Assessment 2. End-to-End Development 3. Bring Your Own Data.
We have two options for Project Based Learning; prospective students must qualify.
1. Nine projects with three hack days for $5,995
2. Six projects with two hack days for $4,995


Data Science for Professionals is a 5-day program designed for working professionals who oversee a team of data scientists and/or will be interacting with practitioners to guarantee the success of projects. This executive course allows professionals to understand the workflow, help identify problems as they arise in the workplace, & speak the language practitioners use. Our field experts explain which technologies are the newest & relevant to their industry. This course allows for the professionals to build their knowledge to apply these technologies to move forward in the implementation at their own company.



The Dev Masters