Our vision

RMOTR began in 2015 with a clear goal: provide high-quality, affordable Data Science education, giving everyone and anyone the opportunity to learn at their own pace, on their own time.

But creating an expert Data Science curriculum takes time. That's why we want to share this process with you. We want you to be a part of it.

71%

What Comes Next

Our content release plan includes specific milestones. With each milestone comes new courses, lessons, and projects. As our library grows, the subscription price will increase. Current subscribers pay $19/month. When we reach the first milestone, the price will go up to $39/month.It will increase again after reaching the second milestone, and so on consistently throughout the development process.

As we continue to create expert Data Science curriculum, we want to reward students who jump on board early in this process. If you join us now, at $19/month, we will honor that price for you for as long as you remain subscribed to RMOTR. Should you cancel your subscription and sign up again at a later date, we will not be able to offer you the original $19/month price. That makes now the best time to start your journey alongside ours.

Our Goal for this Milestone

Courses

12

Lessons

210

Projects

18

Content

88h

Previous Price

Expired Jul. 2019

$9.00

Missed it 😢

Current Price

Expires Mar. 2020

$19.00

Don't miss out

Next Price

Starting Apr. 2020

$39.00

Coming soon

Lock in this price now and we'll honor it for as long as you're subscribed.

Current Milestone

This milestone is heavily focused on Programming, Data Analysis, and Machine Learning Foundations.

Courses

12

Lessons

210

Projects

18

Defining

Creating

Recording

Publishing

Python Programming

File Management & HTTP

100%

Intro to Relational Databases

65%

Data Analysis

Intro to Scientific Computing with NumPy

100%

Intro to Data Analysis with Pandas

100%

Reading Data with Python & Pandas

100%

Data Cleaning with Pandas

100%

Advanced Data Wrangling with Pandas

75%

Data Analysis with Pandas for Excel users

25%

Data Science for Biotech

10%

Machine Learning

Machine Learning Fundamentals with Scikit-learn

75%