This is a modern and comprehensive introduction to data science and machine learning in Python.
By the end of the course, you’ll walk away with a work applicable understanding of the Data Science process and how to use the methodologies and tools to solve real-world problems in business and academia.See Course Packet
Schedule a Q&A call with our team! Get your course questions answered and learn about custom tuition options
Chief Data Scientist at U.S Army AI Task Force
Isaac comes to Coding Dojo with over 15 years of experience as a Data Scientist and several major academic accomplishments in Statistical Programming, Systems Engineering, and Operational Analytics. Furthermore, he also comes with 4 years of experience as an Assistant Professor at West Point Military Academy's College of Engineering.
Learn More:Instructor Spotlight: Q&A with Isaac Faber
In 5 weeks, you’ll learn the principle concepts and technologies behind modern Data Science, and work on real data-sets and problems to put your learning into practice.See Course Packet
Learn the many ways of preparing and cleaning data with Python and scientific libraries, such as Pandas and Numpy.Technologies Covered
Analyze, explore, and visualize large data sets in the same way that real Data Scientists do on the job.Technologies Covered
Build statistical models — regression and classification — that generate usable information from raw data.
Learn to apply decision trees and random forests to your data modeling via SciKit-Learn, a machine learning library utilizing Python.Technologies Covered
Put your learning from the last 3 weeks to the test and present/visualize a large-scale Data Science project.Technologies Covered
Learn the many ways of preparing and cleaning data with Python and scientific libraries, such as Pandas and Numpy.
Sit down virtually with your instructor and classmates once a week for demos or lecture topics. Also check-in with your instructor for regular office hours to go over questions and assignments.See Course Packet
From day one, gain full access to our industry-leading learning platform and your Data Science curriculum. Get a head-start on new topics or review previous ones -- it’s up to you!
Dig Deeper into our course and curriculum
AUG 17th, 2020
to Sep 18th, 2020
Aug 13, 2020
12 seats left
Payment is required to reserve a seat in the program.
All payments are refundable until day 1 of class.
Due to reserve seat in programming
$500 off for full payments
Due to reserve seat in programming
Due by 1st Friday of class
This course requires beginner level experience in Python programming. This can be from professional or recreational experience.
The ideal student will have entry-level technical experience in software/web development or data analysis/statistics.
Upon enrolling, you'll be required to complete your prep work on Python programming and linear algebra.
All enrolled students are required to possess a High School Diploma, GED or equivalent.
Full tuition payments are eligible to receive $500 off the total tuition due. Monthly financing and scholarships are not available at this time.
You’ll work on 1 final big project during weeks 4 and 5 of the program. Leading up to week 4, you’ll work on small and large assignments to put your learning into practice.
You’ll virtually meet with your cohort every week to sync on the topic of the week, as well as have access to office hours with your instructor.
Yes, we offer a full-time Data Science Immersive.
Yes! You’ll need to brush up on your math skills and become familiar with the Python programming language.
Your required prep work will be provided upon enrolling.
For beginners, this course is one of the industry’s most comprehensive first steps towards starting a career in Data Science. But we didn’t design this course to directly land you a job in the field. Our primary goal is to provide you a modern and comprehensive introduction.
If you’re already technical, you’ll be able to apply the concepts and techniques in this course in your current career.
Upon enrollment, you will receive access to the Learning Management System for all course content.
Lectures are held twice per week at 6PM PST on Monday and Wednesday.
Every week you’ll be introduced to a new fundamental topic in the Data Science process, and you’ll work on assignments to put your learning into practice. You’ll practice using real Data Science tools to solve real-world case problems.