Learn Data Science with Real World Experiences

Sign up for the Free Beta

You will receive...

• Early free access to the Simulator.
• Special discount when the final product is launched.
• Invitations to test new data science learning experiences before the public.

Tired of Googl'ing the same R and Python functions again and again? Have you been to StackOverflow half a dozen times for your current analysis project? It's time for a change.

Stop wasting time and start understanding and remembering how data science works in R and Python. This course, currently in beta, will take you through a personalized real-world experience where your actions have actual consequences.

This course...

• Teaches R and Python through real-world scenarios.
• Explores a struggling business that can be saved through analytics and data science.
• Pushes you to process / munge the data, build models, and then interpret those models for an executive audience.
• Focuses on building understanding of data science in R and Python and remembering so you don't have to Google functions as much.

A New Approach to Teaching Data Science

A common complaint of people hiring for data scientists is that the people coming out of bootcamps, undergraduate programs or MOOCs is that the candidates do not have any real world experiences.

That means, given a prompt (using this csv, build a classification model...) they can apply the default functions and spit out an answer. But can they...

• Get the data out of the database?
• Process and clean-up that data?
• Identify the better performing algorithms for the data?
• Interpret the results and explain them to someone else?

Sadly, the answer is typically no. We, as a data science industry, are converging to a race to the bottom with training as more schools and websites try to tap into your wallet and get you to "learn" through their site.

By joining this training course, you will gain that experience of being a full-fledged data scientist whose decisions actually matter. In this narrative driven training, you are the data scientist and an open world of business opportunities is in front of you. It's up to you to decide which departments to help, which data sources are relevant, how to pre-process that data, and ultimately how to explain your models to the executive team.

What can you expect to get out of this new type of training?

• A cohesive set of challenges that builds up to saving a struggling business.
• A challenging environment that pushes you to learn.
• Experiences that help you remember what functions and algorithms to use.
• Exposure to many different business areas and real-life scenarios.

The goal of this course is to help you not only develop statistical models for your work but to also think critically about the situation so you can apply your knowledge to any situation that comes up at work.

FAQ

What makes this course different from any other MOOC / online course?

This course is based on real-world experiences and is a mostly open world for you to explore and improve a struggling business. Your actions and the performance of your model determines what happens next.

In addition, this course focuses on retention rather than pushing a lot of information at you quickly. This course is designed to make you understand data science and the tools used in the trader rather than get you out the door as fast as possible.

What will I learn in this Data Science course?

• How to pull data from a database with R or Python.
• How to process / munge different types of data to make it ready for modeling.
• How to build statistical / data science models using many statistical packages in R and Python.
• How to write an analysis that explains the model to both executives and technical peers.

When will the course be released?

The course is in active development and will be enhanced by feedback from beta testers like yourself. The fastest way to get access is to sign up to be a beta tester.

What do I get as a beta tester?

You will receive early free access to the Simulator and a special discount when the final product is launched. You will also receive invitations to test new data science learning experiences before the public.

Who is behind this course?

Will Johnson has been in the analytics and data science industry for 8 years. Having worked at a multi-billion dollar e-commerce company as a manager of an analytics team and now working at Microsoft to help businesses design data science applications on the cloud.

Sample Course Content

The course is open ended and mostly free to explore challenges for different business units like Marketing, Finance, Legal, and Operations. The below chapters are a sample of the path you could take

• Setting up your R or Python environment
• Understanding the business with descriptive statistics.
• Predicting Propensity to Buy
• Ranking Prospective Customers on Lifetime Value
• Predicting Customer Churn
• Detecting Fraudulent Transactions
• Designing Product Recommendations
• Building a Search Engine