Follow Gregory Piatetsky, No. 1 on LinkedIn Top Voices in Data Science & Analytics

KDnuggets Home » News » 2016 » Oct » Courses, Education » K2 Data Science Bootcamp ( 16:n37 )

K2 Data Science Bootcamp


This online, part-time immersive data science bootcamp is geared to help working professional become data scientists in 24 weeks, with live lectures, one-on-one supports, group study sessions, and more. Next session starts Jan 9, 2017.



K2 Data Science BootcampK2 Data Science is an online, part-time immersive data science bootcamp geared to help working professional become data scientist in 24 weeks. This is a Python based program that offers live lectures, one-on-one supports, group study sessions, and more. The program is split into 3 sections:

Fundamentals: The fundamentals include all the knowledge you will need for the core curriculum spread over 4 weeks (approx. 30 hours/week). You will develop a solid understanding of programming in python and statistics, placing you at an intermediate level when you start the core curriculum.

Core Curriculum: The virtual online campus meets three nights a week to go through live lectures, workshops, and provide any support needed. During the core curriculum you will be exposed to a number of topics including:

  •       Exploratory Data Analysis
  •       Supervised Machine Learning
  •       Unsupervised Machine Learning
  •       NLP, Big Data & Case Studies

To get a full listing of the topics we cover, visit the curriculum page on our website

Project Phase: At this point you will have a deep understanding of the technologies taught in the core curriculum phase. Now it’s time to put your knowledge to the test by building machine learning projects from scratch. You will have the chance to work on a personal project and a final capstone project to showcase on your resume.

Also, during the project phase, we will work on career prep, which includes online profile workshops, interview preparation, mock interviews, etc.

Upcoming class dates are:

Winter Session - Jan 9, 2017

Summer Session - July 10, 2017

Apply Today!


Sign Up