Machine
Learning

Finance and
Forecasting

BioInformatics

Data Analysis

Data Analysis

Data Cleaning

Marketing Analysis

For this project, we'll analyize a dataset from a marketing study done in San Francisco. It has 8 columns, both with categorical and continuous data. The problem is that the surveys were taken using pen and paper, and then transferred to the database by exhausted pollsters, and some mistakes were made.
Are you up to the challenge of cleaning up and analyzing this dataset?

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Data Analysis

Data Wrangling

US Census Analysis

This dataset contains an extract of the 1994 US Census database. It's a highly popular dataset because it works both for Data Analysis and Machine Learning. It's reasonably cleaned, so your task is to process it and analyze it. This time, there are more than 40 thousand records.
Now the data is cleaned. Can you find interesting insights?

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Live online courses

Data Science with Python

Interested in learning Data Science? Try our Data Science with Python course. A LIVE class, instructor-guided and with unlimited mentor support.

click here to learn more about our Data Science course!

Machine Learning

Linear Regression

Predicting Diabetes with Machine Learning

Ready to get started with Machine Learning? This project uses Linear Regression to predict if a patient might suffer from Diabetes. Interesting, right? The dataset contains 10 physiological variables for 442 patients.
Ready to make some predictions?

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Coming soon

Hot Dog or Not Hot Dog using Deep Learning

We're working on a new project applying Deep Learning and Image Recognition, and it'll be awesome! We're stealing Jian-Yang's Million-Dollar idea: Hot Dog or Not Hot Dog and implementing it in a few hours.
Sign up and get notified when it's ready!

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Why RMOTR?

Learn Python for Data Science with a Live, instructor-guided class, from the comfort of your home.

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Student's reviews

Top Rated Online Academy in Course Report and SwitchUp.

4.9 out of 5

Alonso Gutierrez

Aug. 10th, 2016

This was an excellent bootcamp and the reasons are the following:

Preston

Sept. 21st, 2016

This is an excellent python course. It teachs you not only Python syntax but gives you a deep understanding of how Python works and OOP concepts in general that can be applied to other languages you may learn in the future. The coding sessions vary from simple in the begining to some fun little projects towards the end. Make sure you have enough time to dedicate to the course. The reading materials take a few hours a week outside of class to finish and the coding sessions in my experiance averaged 3 ~ 6 hours to complete each project. Overall I found the course fun and very informative and a great value for the cost.

Beth West

March 23rd, 2017

I loved how willing everyone was to help each other and the sense of humor/light mood from the lectures and mentors. I liked the curriculum layout and design. I liked the tools I received and the chapter breakouts. I felt stretched, but not in an overwhelming way as I did with previous python tools I was using. I also like the fact I have access to the student center after the class to catch up with concepts I need repetition on.